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  • Bridgepoint Education: Director of Advanced Analytics

    ...out the department strategic plan.   Acquisition & Deployment: Conduct research and make recommendations on data mining products, services, protocols, and standards in support of procurement and development efforts.   Operational Management: Direct and lead the development of...

    https://www.kdnuggets.com/jobs/14/11-22-bpiedu-director-advanced-analytics.html

  • The First Intl. Conference on Data Intelligence and Security (ICDIS-2018)

    ...mputers & Digital Techniques Special Issue on Data Intelligence and Security techniques in Electronic and Embedded Systems Journal of Information Security and Applications Special issue on Data Intelligence in Security and Privacy Journal of Sustainable Computing: Informatics and Systems...

    https://www.kdnuggets.com/2017/09/icdis-2018-data-intelligence-security.html

  • Deepfakes Security Risks

    ...nterviewed such security celebrities as Dave Kennedy, Jay Jacobs and Robert David Steele to get firsthand perspectives on hot InfoSec issues. David has a strong malware troubleshooting background, with the recent focus on ransomware countermeasures. Related: Applying Data Science to Cybersecurity...

    https://www.kdnuggets.com/2020/01/deepfakes-security-risks.html

  • Baby Boom: Udemy Excel Tutorial on Analyzing Large Data Sets

    ...le of adult Americans. If you look at the Wikipedia entry for History of Social Security in the United States at wikipedia.org/wiki/History_of_Social_Security_in_the_United_States, you’ll see that Social Security only started in 1937. Yet your data goes back to 1910, and for some other states it...

    https://www.kdnuggets.com/2015/04/baby-boom-udemy-excel-tutorial-analyzing-large-data-sets.html

  • 6 Reasons Why Python Is Suddenly Super Popular">Silver Blog, 20176 Reasons Why Python Is Suddenly Super Popular

    ...ble data. 4. Python Has Amazing Libraries When you’re working on bigger projects, libraries can really help you save time and cut down on the initial development cycle. Python has an excellent selection of libraries, from NumPy and SciPy for scientific computing to Django for web development. There...

    https://www.kdnuggets.com/2017/07/6-reasons-python-suddenly-super-popular.html

  • How to Build a Recurrent Neural Network in TensorFlow

    ...short introduction to TensorFlow is available here. For now, let’s get started with the RNN! What is a RNN?   It is short for “Recurrent Neural Network”, and is basically a neural network that can be used when your data is treated as a sequence, where the particular order of the data-points...

    https://www.kdnuggets.com/2017/04/build-recurrent-neural-network-tensorflow.html

  • Can Deep Learning Help you Find the Perfect Girl? – Part 2

    ...somebody in the picture (apparently there are people who put a picture of a plate of food as their profile picture). Given the success of the gender network, I had good hope that this network could be used to predict my preferences. Unfortunately, this wasn't the case, this network only achieved...

    https://www.kdnuggets.com/2015/07/can-deep-learning-help-find-perfect-girl-2.html

  • Attention and Memory in Deep Learning and NLP

    ...mechanism that allows for explicit memory deletes and updates. The trend towards more complex memory structures is now continuing. End-to-End Memory Networks allow the network to read same input sequence multiple times before making an output, updating the memory contents at each step. For...

    https://www.kdnuggets.com/2016/01/attention-memory-deep-learning-nlp.html

  • 3 Reasons to Use Random Forest® Over a Neural Network: Comparing Machine Learning versus Deep Learning

    ...rk that is an extended version of the perceptron. It has additional hidden nodes between the input layer and output layer. 2. Multi Layer Feedforward Networks This type of network has one or more hidden layers except for the input and output. Its role is to intervene in data transfer between the...

    https://www.kdnuggets.com/2020/04/3-reasons-random-forest-neural-network-comparison.html

  • Generating cooking recipes using TensorFlow and LSTM Recurrent Neural Network: A step-by-step guide

    ...be beneficial to go through the Unreasonable Effectiveness of Recurrent Neural Networks article by Andrej Karpathy. On a high level, Recurrent Neural Network (RNN) is a class of deep neural networks, most commonly applied to sequence-based data like speech, voice, text or music. They are used for...

    https://www.kdnuggets.com/2020/07/generating-cooking-recipes-using-tensorflow.html

  • Beginners Ask “How Many Hidden Layers/Neurons to Use in Artificial Neural Networks?”">Silver BlogBeginners Ask “How Many Hidden Layers/Neurons to Use in Artificial Neural Networks?”

    ...ed together by other hidden layers to generate just a single curve.   Figure 8   It is up to the model designer to choose the layout of the network. One feasible network architecture is to build a second hidden layer with two hidden neurons. The first hidden neuron will connect the first...

    https://www.kdnuggets.com/2018/07/beginners-ask-how-many-hidden-layers-neurons-neural-networks.html

  • 7 Steps to Mastering Deep Learning with Keras">Silver Blog7 Steps to Mastering Deep Learning with Keras

    ...l by Chris Albon for implementing a Long Short-Term Memory (LSTM) network -- a dominant type of RNN -- for text classification: LSTM Recurrent Neural Network To learn more about recurrent neural networks in general, try Brandon Rohrer's video: Read the accompanying slides.   Step 7: What Next?...

    https://www.kdnuggets.com/2017/10/seven-steps-deep-learning-keras.html

  • Keras Cheat Sheet: Deep Learning in Python

    ...e of network that is included in the cheat sheet: it’s a popular model that has shown good results in NLP tasks. They’re not really like feed-forward networks, : the network is one where connections between units form a directed cycle. For this cheat sheet, the model that was included is one for...

    https://www.kdnuggets.com/2017/09/datacamp-keras-cheat-sheet-deep-learning-python.html

  • Lund University Develops an Artificial Neural Network for Matching Heart Transplant Donors with Recipients

    …to distribute the work on a 56-processor cluster. This enabled us to rapidly identify an optimal neural network configuration using MATLAB and Neural Network Toolbox, train the network using data from the transplantation databases, and then run simulations to analyze risk factors and survival…

    https://www.kdnuggets.com/2015/07/lund-matlab-neural-network-heart-transplant-matching.html

  • Using Topological Data Analysis to Understand the Behavior of Convolutional Neural Networks

    ...g process of a neural network – something that has been highly elusive until now. Higher Level Weight Matrices This method also works on deeper networks (i.e. networks including more layers). Deeper networks are organized in a way that resembles the organization of the visual pathway in...

    https://www.kdnuggets.com/2018/06/topological-data-analysis-convolutional-neural-networks.html

  • Peer Reviewing Data Science Projects">Silver BlogPeer Reviewing Data Science Projects

    ...roach handle missing data, if at all? How badly is performance expected to degrade as missing data increases, in each case?   Data Science Model Development Phase Review   Again, recall that what I call the model development phase is the part of the data science project where a lot of...

    https://www.kdnuggets.com/2020/04/peer-reviewing-data-science-projects.html

  • Impact of IoT on Big Data Landscape

    ...ection also requires custom protocols. Message Queue Telemetry Transport (MQTT) and Data Distribution Service (DDS) are two of the most comprehensive protocols. Both protocols can help thousands of sensor-fitted devices connect with real-time machine-to-machine networks. MQTT collects data from...

    https://www.kdnuggets.com/2015/07/impact-iot-big-data-landscape.html

  • How Can Data Scientists Mitigate Sensitive Data Exposure Vulnerability?

    ...Bio: Laurel Brian is a content writer and marketing consultant at Data Recovery Singapore. As a tech geek he is continually drawing upon his own talent and skill, and as a marketing consultant he enjoys the business challenges and build relationships. Related: 5 Best Practices for Big Data Security...

    https://www.kdnuggets.com/2016/08/data-scientists-mitigate-sensitive-data-exposure-vulnerability.html

  • Top /r/MachineLearning Posts, Mar 22-28: Deep Learning flaws & Security, DeepMind Publications, and Keras

    ...ical analysis using Python. If you’ve been considering picking up Python for statistics work, this is an excellent guide. 4. Hacker's guide to Neural Networks +65 This is a hacker’s guide to neural networks, meaning that it takes a very example and code oriented approach to teaching about neural...

    https://www.kdnuggets.com/2015/03/top-machine-learning-posts-mar22-28.html

  • Top KDnuggets tweets last week, Dec 1-7: Hilarious ! If programming languages were vehicles; Big Data Scientists have the highest salaries

    ...DijQWjD t.co/XWIw7hBXtB IBM #WatsonAnalytics goes public, cloud-based freemium data analysis with natural language t.co/e0MJnV9FZr t.co/XQ0H5hdQT0 If programming languages were vehicles, what would be R, SAS, and SQL? #rstats t.co/kOiLxwI6GQ t.co/a7U2Vee38C If programming languages were vehicles,...

    https://www.kdnuggets.com/2014/12/top-tweets-dec01-07.html

  • Microsoft F# for Big Data programming

    ...round 2004. It was designed by Don Syme, principal researcher at the company. The language is geared to data-oriented programming as well as parallel programming and algorithmic development. F# 3.0, featuring support for large-scale schematized data and APIs, was released last year along with an...

    https://www.kdnuggets.com/2013/02/microsoft-fsharp-for-big-data-programming.html

  • Microsoft F# for Big Data programming

    ...round 2004. It was designed by Don Syme, principal researcher at the company. The language is geared to data-oriented programming as well as parallel programming and algorithmic development. F# 3.0, featuring support for large-scale schematized data and APIs, was released last year along with an...

    https://www.kdnuggets.com/microsoft-f-for-big-data-programming.html

  • What is the Best Python IDE for Data Science?">Platinum BlogWhat is the Best Python IDE for Data Science?

    ...aring problem. He is interested in product marketing, and analytics. His latest venture Hackr.io recommends the best Data Science tutorial and online programming courses for every programming language. All the tutorials are submitted and voted by the programming community. Related: Programming Best...

    https://www.kdnuggets.com/2018/11/best-python-ide-data-science.html

  • Software engineering fundamentals for Data Scientists

    ...ready using Python, but have none or little knowledge about object-oriented programming, I strongly recommend these two free courses: Object-Oriented Programming in Python at Datacamp Intro to Object-Oriented Programming (OOP) in Python at https://realpython.com/   The importance of...

    https://www.kdnuggets.com/2020/06/software-engineering-fundamentals-data-scientists.html

  • 7 Steps to Understanding Deep Learning

    ...e processing and understanding of images and its symbolic information. Most of the field's recent breakthroughs have come from the use of deep neural networks. In particular, convolutional neural networks have played a very important role in computer vision of late. The convolutional neural...

    https://www.kdnuggets.com/2016/01/seven-steps-deep-learning.html

  • Sequence Modeling with Neural Networks – Part I

    ...zation using gradient descent and backpropagation. Inspite of this, you have probably heard about Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), LSTM, Auto-Encoders, etc. These deep learning models are different from each other. Each model is...

    https://www.kdnuggets.com/2018/10/sequence-modeling-neural-networks-part-1.html

  • DeepMind Relational Reasoning Networks  Demystified">Silver Blog, Aug 2017DeepMind Relational Reasoning Networks  Demystified

    …, more useful because the model can now accept an English sentence instead of encoded arrays. The authors have presented a way to combine relational networks, convolutional networks , and LSTMs to construct an end to end neural network that can learn relations between objects. Figure 2.0 An end to…

    https://www.kdnuggets.com/2017/08/deepmind-relational-reasoning-networksdemystified.html

  • Neural Network Foundations, Explained: Activation Function

    ...through any number of hidden layers in between (see Figure 1). The activation function relates to the forward propagation of this signal through the network. Figure 1. Very simple neural network. Forward propagation is the the process of multiplying the various input values of a particular neuron...

    https://www.kdnuggets.com/2017/09/neural-network-foundations-explained-activation-function.html

  • Building a Basic Keras Neural Network Sequential Model

    ...ss and accuracy on our test dataset. Test loss: 0.09116139834111646 Test accuracy: 0.9803 Almost done, but first let's output a summary of the neural network we built. # Summary of neural network model.summary()   Layer (type) Output Shape Param #...

    https://www.kdnuggets.com/2018/06/basic-keras-neural-network-sequential-model.html

  • Understanding Modern Data Systems

    ...nderstand how data systems differ from most software. In this post, I will talk about the four characteristics that differentiate data infrastructure development from traditional development, and highlight key issues to look out for. We’ll get this one out of the way: yes, it’s “Big” Data. The...

    https://www.kdnuggets.com/2016/06/understanding-modern-data-systems.html

  • Intellectual Ventures Lab: Sr. Machine Learning Algorithm Development Software Engineer

    ...broad range of Intellectual Ventures' invention activity provides IV Lab the opportunity for a breadth of expertise across fields including computer network security, computational modeling, electrical and mechanical engineering, software development, chemistry, microbiology, materials science,...

    https://www.kdnuggets.com/jobs/16/10-18-intellectualventures-machine-learning-algorithm-engineer.html

  • How AI will transform healthcare (and can it fix the US healthcare system?)">Silver BlogHow AI will transform healthcare (and can it fix the US healthcare system?)

    ...mounted before Quantum Computing achieves its potential. This will require the development of more stable hardware, commercial platforms for software development, and the development of cloud computing capabilities for the distribution and access of quantum computing resources." Deloitte "Quantum...

    https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html

  • How IoT is Jeopardizing Your Business Security

    ...ers. Take for instance, a Windows 7, 8 or 10 workstation where the user frequently deferres updates and patches. When you expose such a device to the network, you basically offer hackers your data on a silver platter. Security best practices in a digitalized work environment are crucial to combat...

    https://www.kdnuggets.com/2016/04/iot-jeopardizing-business-security.html

  • New U. of Chicago Machine Learning for Cybersecurity Certificate Gives Professionals Tools to Detect and Prevent Attacks

    ...ey work can cause more harm than good. The program consists of four units: Foundations of Machine Learning and Data Science for Security; Data-Driven Network and Computer Security; Machine Learning in the Presence of Adversaries; and Ethics, Fairness, Responsibility, and Transparency in Data-Driven...

    https://www.kdnuggets.com/2020/10/uchicago-machine-learning-cybersecurity-certificate.html

  • Drexel University: Teaching Faculty positions in Data Science, Computer Science, and Computing Security & Technology

    ...rtise in the following areas is of special interest: security, computer forensics, applied cryptography, counter intelligence, server administration, network administration, network auditing tools, and enterprise systems management. To be considered, apply directly at...

    https://www.kdnuggets.com/jobs/17/12-01-drexel-teaching-faculty.html

  • Wolfram Breakthrough Knowledge-based Programming Language – what it means for Data Science?

    ...ier blog post. Big promises apart - the current language of data scientists remains Python and R, and it would be interesting to see if the knowledge programming thing that the Wolfram Language enhances the availability of knowledge programming or simply fades as a marketing fad with some of it's...

    https://www.kdnuggets.com/2014/03/wolfram-breakthrough-knowledge-based-programming-language-data-science.html

  • How Different are Conventional Programming and Machine Learning?

    ...both then it prints out 'fizzbuzz'. If it is not divisible by any of the 3 or 5 then print 'other'. It's called a Fizzbuzz game.   Conventional Programming   It is extremely easy in conventional programming to feed the computer with a set of instructions because we have only 4 scenarios...

    https://www.kdnuggets.com/2018/12/different-conventional-programming-machine-learning.html

  • Autograd: The Best Machine Learning Library You’re Not Using?">Gold BlogAutograd: The Best Machine Learning Library You’re Not Using?

    ...euroevolution refers to the optimization of neural networks by selection, without explicit differentiation or gradient descent.   Differentiable programming is a broader programming paradigm that encompasses most of deep learning, excepting gradient-free optimization methods such as...

    https://www.kdnuggets.com/2020/09/autograd-best-machine-learning-library-not-using.html

  • Learn Quantum Computing with Python and Q#, Get Programming with Python, Data Science with Python and Dask

    ...data scientists running the most powerful algorithms. If you’re looking to start programming with Python, one of the best resources available is Get Programming with Python. It’s written by Ana Bell, a scientist and lecturer who teaches Introduction to Computer Science and Programming Using Python...

    https://www.kdnuggets.com/2019/09/manning-quantum-computing-python-data-science-dask.html

  • If chatbots are to succeed, they need this

    ...the computer what was true. Given this database of true facts and rules, logical deduction could be used to answer the user’s queries. This style of programming is called “declarative programming”. The only real declarative programming language that has taken off and remains popular is SQL, which...

    https://www.kdnuggets.com/2018/05/chatbots-succeed-need-logic.html

  • Top Machine Learning Software Tools for Developers">Gold BlogTop Machine Learning Software Tools for Developers

    ...ch is understandable when you look at the languages the tool supports. In addition to this, the Codota creators mentioned that the versions for other programming languages are in development, with the first one expected to be launched being JavaScript. There is a free version of this tool, which...

    https://www.kdnuggets.com/2019/11/top-machine-learning-software-developers.html

  • An ode to the analytics grease monkeys

    …year by IBM, through an extended version called Analytics Solutions Unified Method for Data Mining/Predictive Analytics (also known as ASUM-DM). Many development efforts at IBM enable the development cycle through technologies including our Data Science Experience (DSX) and our ML-as-a-Service…

    https://www.kdnuggets.com/2017/02/analytics-grease-monkeys.html

  • Breaking Privacy in Federated Learning

    ...es some similarities to Jose Corbacho’s post. The paper addresses both the security and privacy issues for federated learning. The difference between security and privacy issues is that security issues refer to unauthorized/malicious access, change or denial to data while privacy issues refer to...

    https://www.kdnuggets.com/2020/08/breaking-privacy-federated-learning.html

  • ASE International Conference on Big Data Science 2014: Day 2 Highlights

    ...g cloud security, and enhancing cyber intelligence. To remove the security and trust barriers in bare-metal or virtual clouds, he examined the top-10 security and privacy issues released by Cloud Security Alliance in 2012. Some new approaches and hidden opportunities are discussed towards the...

    https://www.kdnuggets.com/2014/08/ase-conference-big-data-science-day2.html

  • Future Trends in Biometrics

    ...ur more robust and accurate. Proving that you are who you say you are when conducting unusual activities is one step on the path to much greater data security. If we get it right, behaviour biometrics have the potential to provide better security than logins, passwords, and other “input” methods of...

    https://www.kdnuggets.com/2018/02/future-trends-biometrics.html

  • Privacy, Security and Ethics in Process Mining

    …pdf [3] Process Mining software Disco: https://fluxicon.com/disco/ [4] Academic Process Mining framework ProM: http://www.promtools.org/ [5] Privacy, Security and Ethics in Process Mining. Extended version:…

    https://www.kdnuggets.com/2016/12/privacy-security-ethics-process-mining.html

  • 3 Big Problems with Big Data and How to Solve Them

    ...to the network from an unprotected system. Think about the often used Hadoop: it’s open-source and, at least originally, not boasting any significant security. NoSQL databases follow suit: security has to be provided additionally here, too. The process of data mining , which has to be protected...

    https://www.kdnuggets.com/2019/04/3-big-problems-big-data.html

  • Data-Driven Product, Data Security Innovation Summits, Austin June 29-30

    ...kers from General Motors, PayPal, NBC Universal, Stanley Black and Decker, BNY Mellon & more. Data Security Innovation Summit  Are data security fears holding back your development and growth into the data landscape?    Focused case studies and best practice discussions will...

    https://www.kdnuggets.com/2016/05/ieg-data-driven-product-data-security-innovation-summits-austin-june.html

  • Cummins: Advanced Analytics Platform Principle Engineer [Columbus, IN]

    ...gender identity and/or expression, or other status protected by law. Cummins validates right to work using E-Verify. Cummins will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to...

    https://www.kdnuggets.com/jobs/18/12-12-cummins-advanced-analytics-platform-principle-engineer.html

  • Top 10 Technology Trends of 2018">Gold BlogTop 10 Technology Trends of 2018

    ...Blockai, Pixsy, Mediachain, and Proof of Existenceintend to apply the blockchain technology for this purpose.   3. New approaches to privacy and security are coming   The technological development boosts the importance of data, so hacking techniques become ever more progressive. The...

    https://www.kdnuggets.com/2018/04/top-10-technology-trends-2018.html

  • Getting Started with R Programming

    ...phical analysis. It is therefore commonly used in statistical inference, data analysis and Machine Learning. R is currently one of the most requested programming language in the Data Science job market (Figure 1). Figure 1: Most Requested programming languages for Data Science in 2019 [1]   R...

    https://www.kdnuggets.com/2020/02/getting-started-r-programming.html

  • Top KDnuggets tweets, Dec 1-2: Hilarious: If programming languages were vehicles; How Google Translates Pictures Into Words

    ...Google "Translates" Pictures Into Words Using #DeepLearning, #BigData & Vector Math t.co/3WubEvOmGe t.co/txy7dmLLPg Most Clicked: Hilarious ! If programming languages were vehicles: on C, C++, Java, Python, Perl, Lisp, ... t.co/JZMk0NRMed t.co/romPicF6Y1 Top 10 most engaging Tweets Hilarious !...

    https://www.kdnuggets.com/2014/12/top-tweets-dec01-02.html

  • Python Data Science for Beginners">Silver BlogPython Data Science for Beginners

    ...aring problem. He is interested in product marketing, and analytics. His latest venture Hackr.io recommends the best Data Science tutorial and online programming courses for every programming language. All the tutorials are submitted and voted by the programming community. Original. Reposted with...

    https://www.kdnuggets.com/2019/02/python-data-science-beginners.html

  • Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference">Gold BlogIntroducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference

    ...adoption within the machine learning community. Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming. The library integrates seamlessly with deep learning frameworks such as Keras and TensorFlow. Pyro Pyro is a deep probabilistic...

    https://www.kdnuggets.com/2019/07/introducing-gen-language-progammable-inference.html

  • Top KDnuggets tweets, Jan 7-8: Programming languages popularity by US state; Machine Learning best practices from Kaggle competitions

    ...ited: Great talk: #MachineLearning best practices learned from lots of competitions, by @Kaggle Chief Scientist #BigData t.co/JOvDjRaXaj Most Viewed: Programming languages popularity by US state: #Java is big in #NY, #NJ, #Python in Idaho t.co/Ek1msfJAQw t.co/5ZgzoQIKcy Most Clicked: Programming...

    https://www.kdnuggets.com/2015/01/top-tweets-jan07-08.html

  • Programming Best Practices For Data Science">Silver BlogProgramming Best Practices For Data Science

    ...r time periods). The best way to generalize our code is to turn it into a data pipeline. A data pipeline is designed using principles from functional programming, where data is modified within functions and then passed between functions. Here's a first iteration of this pipeline using a single...

    https://www.kdnuggets.com/2018/08/programming-best-practices-data-science.html

  • New Online Data Science Tracks for 2017">Silver Blog, Apr 2017New Online Data Science Tracks for 2017

    …: $39/month for certificate Language: R Organization: Johns Hopkins University Prerequisites: some programming, knowledge of algebra Curriculum The R Programming Environment Advanced R Programming Building R Packages Building Data Visualization Tools Mastering Software Development in R Capstone edX…

    https://www.kdnuggets.com/2017/04/new-online-data-science-tracks-2017.html

  • Corios LLC – Analytics Consultant

    ...sing SAS, databases, and data appliances to accomplish tasks such as: analytic data file development & cleansing, database integration, scripting/programming, statistical visualization, model development, model deployment   Required skills, knowledge, experience Qualified candidates should...

    https://www.kdnuggets.com/jobs/15/09-14-corios-analytics-consultant.html

  • Corios LLC: Analytics Consultant

    ...sing SAS, databases, and data appliances to accomplish tasks such as: analytic data file development & cleansing, database integration, scripting/programming, statistical visualization, model development, model deployment   Required skills, knowledge, experience Qualified candidates should...

    https://www.kdnuggets.com/jobs/15/07-08-corios-analytics-consultant.html

  • Corios LLC: Analytics Consultant

    ...sing SAS, databases, and data appliances to accomplish tasks such as: analytic data file development & cleansing, database integration, scripting/programming, statistical visualization, model development, model deployment   Required skills, knowledge, experience Qualified candidates should...

    https://www.kdnuggets.com/jobs/15/08-12-corios-analytics-consultant.html

  • Interview: Emmanuel Letouzé, Data-Pop Alliance on Big Data for Development and Future Prospects

    ...at UC Berkeley, writing his dissertation on Big Data and demographic research. Emmanuel is the author of UN Global Pulse's White Paper "Big Data for Development" (2012), the lead author of the 2013 and 2014 OECD Fragile States reports and a regular contributor on Big Data and development. He...

    https://www.kdnuggets.com/2015/04/interview-emmanuel-letouze-big-data-development.html

  • Core Principles of Sustainable Data Science, Machine Learning and AI Product Development: Research as a core driver

    ...software libraries. Awareness and skills in the mathematical and algorithmic aspect in detail. Figure: A schematic of core principles for AI product development. Software development is an integral part of ML product development. However, during research, a code development can go very wild and a...

    https://www.kdnuggets.com/2019/01/core-principles-sustainable-data-science-machine-learning-ai-product-development.html

  • Data Mining finds JASBUG, a Critical Security Vulnerability

    ...ble to remotely control a client by performing a man in the middle attack, so when a person that works remotely is trying to login into the company's network, there will be an improper use of DNS during the authentication process. It is here where the client can be attacked and arbitrary code may...

    https://www.kdnuggets.com/2015/02/data-mining-simmachines-jasbug-critical-security-vulnerability.html

  • CRN 2015 Big Data Infrastructure Companies

    ...r their leading data storage technology equipped with massively parallel processing engines & database, while some others are known for providing security to the huge volumes of data stored. A majority of these companies have broad product lines and provide development tools with a focus on...

    https://www.kdnuggets.com/2015/05/crn-2015-big-data-infrastructure-companies.html

  • How a simple mix of object-oriented programming can sharpen your deep learning prototype

    ...will generate the same interesting plots of loss and accuracy over epochs, that we show above, for a variety of accuracy threshold values and neural network architectures. This will give a user the ability to to use a minimal amount of code to produce visual analytics about the choice of...

    https://www.kdnuggets.com/2019/08/simple-mix-object-oriented-programming-sharpen-deep-learning-prototype.html

  • Why Python is One of the Most Preferred Languages for Data Science?

    ..., programming expertise is also one of the must-have skills an aspiring data scientist needs to acquire. Let’s dig deeper to unearth the most popular programming languages in the data science community!   Top 3 programming languages most used by data scientists As revealed by the findings of a...

    https://www.kdnuggets.com/2020/01/python-preferred-languages-data-science.html

  • Python and R Courses for Data Science">Silver BlogPython and R Courses for Data Science

    ..., it is still useful to learn the productivity tool to organize your code and how to use your IDE to write code faster and more efficient. Here is the site containing all the online classes from Harvard for R programming. Here is the site containing all the online classes from Harvard for Python...

    https://www.kdnuggets.com/2020/02/python-r-courses-data-science.html

  • The Best Free Data Science eBooks: 2020 Update">Silver BlogThe Best Free Data Science eBooks: 2020 Update

    ...a discipline is a century and a half old, and most statistics textbooks and courses are laden with the momentum and inertia of an ocean liner.   Programming   R programming for Data Science by Roger d. Peng Description: This book brings the fundamentals of R programming to you, using the...

    https://www.kdnuggets.com/2020/09/best-free-data-science-ebooks-2020-update.html

  • Age of AI Conference 2018 – Day 1 Highlights

    ..., in which he imagines how we would look back on Deep Learning thirty years from now and establishes a connection between optimization and functional programming. Neural network models can be assumed to be assembled from building blocks and trained with backpropagation. Traditionally, these have...

    https://www.kdnuggets.com/2018/02/age-ai-conference-2018-day-1.html

  • 3 ways to learn Data Science at Statistics.com

    ...eek to complete. Prerequisite: an undergraduate degree, plus some familiarity with basic programming (though we can help with that, if you are new to programming). Programming in Data Science - Use R for data mining, Python for text mining, extract data from databases with SQL, learn Hadoop basics,...

    https://www.kdnuggets.com/2016/12/statisticscom-3-ways-learn-data-science.html

  • NVIDIA: Deep Learning Library Software Development Engineer

    ...Science, Artificial Intelligence, Applied Math, or related field. Ability to work independently, define project goals and scope, and manage your own development effort. Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design. Python...

    https://www.kdnuggets.com/jobs/16/10-20-nvidia-deep-learning-library-software-development-engineer.html

  • ABB: Research Scientist – Data Analytics

    ...ace designer to come from data to communicated solution. Therefore, we expect practical working experience in the area of data analytics and software development projects – preferable in an industrial research and development environment. We expect you to have excellent cross-cultural written and...

    https://www.kdnuggets.com/jobs/17/01-26-abb-research-scientist-data-analytics.html

  • DuPont Pioneer: Senior Software Developer – Bioinformatics

    ...ies like d3.js Data management and data extraction skills; familiarity with data science toolkits such as Spark, Hadoop. Experience with a Linux/Unix development environment. Object-orient programming with Java/C a plus Required Competencies: Proven skill in an object-oriented language, C#, Python,...

    https://www.kdnuggets.com/jobs/16/09-09-dupont-software-developer-bioinformatics.html

  • DuPont: Sr. Software Developer – BioInformatics/Genomics (ABT00001643)

    ...like d3.js • Data management and data extraction skills; familiarity with data science toolkits such as Spark, Hadoop. • Experience with a Linux/Unix development environment. • Object-orient programming with Java/C a plus Required Competencies: • Proven skill in an object-oriented language, C#,...

    https://www.kdnuggets.com/jobs/16/04-20-dupont-sr-software-developer-bioinformatics-genomics.html

  • Building Data Systems: What Do You Need?

    ...n on using modern data infrastructure, it is essential for developers to understand distributed systems principles. You must allocate the appropriate development and operation personnel (or equivalent managed services) for the lifespan of the product/platform. Product Management   The platform...

    https://www.kdnuggets.com/2016/06/building-data-systems-need.html

  • Data Science “Paint by the Numbers” with the Hypothesis Development Canvas

    ...The Hypothesis Development Canvas is designed to facilitate the business stakeholder-data science collaboration (see Figure 2). Figure 2: Hypothesis Development Canvas The Hypotheses Development Canvas includes the following: Hypotheses Description and Objectives – what it is the organization is...

    https://www.kdnuggets.com/2018/11/data-science-paint-by-numbers-hypothesis-development-canvas.html

  • Webinar: Text Mining Along the Drug Development Pipeline, Jan 28

    ...the drug discovery pipeline. Text mining in particular is playing an important role in speeding up the process of R&D. From discovery to clinical development to post-approval research and monitoring - text mining has enabled researchers to pursue promising new therapies and pivot away from...

    https://www.kdnuggets.com/2016/01/copyright-text-mining-drug-development-pipeline.html

  • Top 10 Technology Trends of 2019">Platinum BlogTop 10 Technology Trends of 2019

    ...decades the way people live, work and interact has been considerably changed. The focus of human life has shifted from nature to technologies. Rapid development of science, industrial revolution and constant development of new technologies largely influenced on the way people live. The life is...

    https://www.kdnuggets.com/2019/02/top-10-technology-trends-2019.html

  • Artificial Friend or Virtual Foe

    ...ework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations”. Minds & Machines, 28: 689. Hilbert, M. (2016). “Big data for development: A review of promises and challenges”. Development Policy Review 34 (1): 135–174. Kapoor, A., Eagle, N., Horvitz, E. (2010). “People,...

    https://www.kdnuggets.com/2019/12/artificial-friend-virtual-foe.html

  • Optimus v2: Agile Data Science Workflows Made Easy

    ...|height| function|rank| new_col| +---------+------+---------+----+-------------------+ | optimus| 28.0| leader| 10| optimus leader| | ironhide| 26.0| security| 7| ironhide security| |bumblebee| 17.5|espionage| 7|bumblebee espionage| +---------+------+---------+----+-------------------+  ...

    https://www.kdnuggets.com/2018/08/optimus-v2-agile-data-science-workflows-made-easy.html

  • CRN 2015 Emerging Big Data Vendors

    ...a full-featured, transactional SQL database on Hadoop that can run operational applications and realtime analytics using Hadoop data. After months of development and beta testing, the company began shipping Release 1.0 of its software in November. San Francisco, CA. Founded 2012. Sqrrl's founders...

    https://www.kdnuggets.com/2015/05/crn-2015-emerging-big-data-vendors.html

  • The Difference Between Data Scientists and Data Engineers

    ...ithm used by the data scientist in R to a more robust production platform. Overlapping Skills Certainly, there are overlapping skills with respect to programming, although a data engineer’s programming skills often outweigh those of a data scientist. For example, having a data scientist program a...

    https://www.kdnuggets.com/2019/03/odsc-difference-data-scientists-data-engineers.html

  • Platinum BlogHow to Become a (Good) Data Scientist – Beginner Guide">Silver BlogPlatinum BlogHow to Become a (Good) Data Scientist – Beginner Guide

    ...ata scientists. Programming Data Science is an exciting field to work in, as it combines advanced statistical and quantitative skills with real-world programming ability. Depending on your background, you are free to choose a programming language to your liking. The most popular in the Data Science...

    https://www.kdnuggets.com/2019/10/good-data-scientist-beginner-guide.html

  • I Designed My Own Machine Learning and AI Degree

    ...eas   AI Foundation   TensorFlow in Practice Specialization by deeplearning.ai (Coursera) [$49/month] Covers: how to build and train neural networks, improve a network’s performance, teach machines to understand, analyze, and respond to human speech with natural language processing...

    https://www.kdnuggets.com/2020/05/designed-machine-learning-ai-degree.html

  • COMAD India Graph Mining Programming contest

    ...rogContest.pdf The problem of finding relatively highly dense sub-structures in various social networks such as communication networks, collaboration networks and web networks has received a lot of attention [Gol84,Cha00,GKT05,KP93,Law01]. Experiments have suggested that such subgraphs correspond...

    https://www.kdnuggets.com/2014/09/comad-india-graph-mining-programming-contest.html

  • KDnuggets™ News 19:n33, Sep 4: Data Science Skills Poll; Object-oriented Programming for Data Scientists

    ...earning-related skills you currently have, and which skills you want to add or improve!   Features New Poll: Data Science Skills Object-oriented programming for data scientists: Build your ML estimator Deep Learning Next Step: Transformers and Attention Mechanism R Users' Salaries from the...

    https://www.kdnuggets.com/2019/n33.html

  • How to Become a Data Scientist: The Definitive Guide">Silver Blog, Aug 2017How to Become a Data Scientist: The Definitive Guide

    ...ome libraries tend to handle a lot of the linear algebra tasks for you. But it is still important to understand how these algorithms work!   The Programming   “Measuring programming progress by lines of code is like measuring aircraft building progress by weight.” — Bill Gates The data...

    https://www.kdnuggets.com/2017/08/become-data-scientist-definitive-guide.html

  • R Learning Path: From beginner to expert in R in 7 steps

    ...with offline interactive R coding exercises. There is also an online version available that requires no set-up. On edX you can take Introduction to R Programming by Microsoft. The R Programming course by Johns Hopkins on Coursera.   Next to these online tutorials there are also some very good...

    https://www.kdnuggets.com/2016/03/datacamp-r-learning-path-7-steps.html

  • R Programming: Who, Where and What

    comments By Ashwin Ramasamy, (ContractIQ). R Programming is on the rise year on year in popularity and is among the top 10 programming languages over the last few years. Data science as a discipline is becoming mainstream, driven largely by fast growing internet & software technology…

    https://www.kdnuggets.com/2015/08/r-programming-who-where-what.html

  • KDnuggets™ News 18:n10, Mar 7: Functional Programming in Python; Surviving Your Data Science Interview; Easy Image Recognition with Google Tensorflow

    ...ch 21   Jobs Pew Research Center: Director, Data Labs Vanguard: Principal Data Scientist   Top Stories, Tweets Top February Stories: Neural network AI is simple. So… Stop pretending you are a genius Top Stories, Feb 26 - Mar 4: Introduction to Functional Programming in Python; A...

    https://www.kdnuggets.com/2018/n10.html

  • fastcore: An Underrated Python Library">Gold Blogfastcore: An Underrated Python Library

    ...ons with external services processing things in batches on each worker, ex: if you have a vectorized operation to perform in chunks   Functional Programming   The functional programming section is my favorite part of this library. maps: a map that also composes functions mapped: A more...

    https://www.kdnuggets.com/2020/10/fastcore-underrated-python-library.html

  • Can Java Be Used for Machine Learning and Data Science?">Gold BlogCan Java Be Used for Machine Learning and Data Science?

    ...nalysis is an open-source software used specifically for data mining on data streams in real-time. Java is an incredibly useful, speedy, and reliable programming language that helps development teams build a multitude of projects. From data mining and data analysis to the building of Machine...

    https://www.kdnuggets.com/2020/04/java-used-machine-learning-data-science.html

  • Top KDnuggets tweets, Jan 04-10: Cartoon: When Self-Driving Car takes you too far; A massive collection of free programming books

    ...low_ian https://t.co/1riBvzO8W7 https://t.co/GrOVzzkRxL Top 10 most engaging Tweets A massive collection of (what we assume to be legitimately) free #programming books: https://t.co/31LzaLStn6 https://t.co/ledMPOfUPl #AI #DataScience #MachineLearning: Main Developments 2016, Key Trends 2017...

    https://www.kdnuggets.com/2017/01/top-tweets-jan04-10.html

  • NREL: Data Scientist

    ...ateness of data storage, archive, purge and backup strategies. Technology tracking: Evaluate and track technology changes in big data initiatives and developments, database technologies, software development frameworks, data acquisition and storage, and software interfaces to database stores....

    https://www.kdnuggets.com/jobs/14/02-28-nrel-data-scientist.html

  • Microsoft: Sr. Software Development Engineer, Analysis and Experimentation Team

    ...ld's largest data processing system (COSMOS) with hundreds of thousands of servers. Guide the team on developing the systems for high stability, fast development, low development cost, and low maintenance cost. Provide technical leadership to other team members. Help to build and grow talents in...

    https://www.kdnuggets.com/jobs/14/05-06-microsoft-sr-sde-analysis-experimentation-team.html

  • Starcom: Director, Analytics and Development

    ...dvanced analytics and data visualization to turn complex data into compelling stories that influence change. We are seeking a Director, Analytics and Development to provide analytics-based research, insights and direction to aid in the measurement and ultimately development of effective experience...

    https://www.kdnuggets.com/jobs/14/08-17-starcom-director-analytics-development.html

  • AT&T: Lead Product Development Engineer Big Data CIP IT Systems

    ...es MAPR, PIG, MAHOUT, CHUKWA, FLUME, HBASE/HDFS/Cassandra, SQIVE, HOOP (for semi-structured, unstructured content) Hadoop stack-modeling, collection, development, file structure, and data management Previous experience working in a high-growth tech environment Deep knowledge of Big Data platforms,...

    https://www.kdnuggets.com/jobs/14/03-19-att-lead-product-development-engineer-big-data-cip-it-systems.html

  • Interview: Peter Alvaro, UC Berkeley, on Managing Asynchrony and Partial Failure

    ...PA: There is so much important work to be done. Here are just a few things that I can’t wait to get started on. Current debuggers, like a majority of programming languages, still reflect a sequential, single-site model of computation. Just as I explored disorderly programming as a way of raising...

    https://www.kdnuggets.com/2014/12/interview-peter-alvaro-berkeley-asynchrony-partial-failure.html

  • Cummins: Data Engineering Technical Specialist [Columbus, IN]

    ...internal users/data sources as well as external users/data sources. Design and Implement automated reports and API’s for visualization and analytics development. Design and Implement data pipeline development methods that combine internal Cummins' data sources as well as external and third-party...

    https://www.kdnuggets.com/jobs/18/12-13-cummins-data-engineering-technical-specialist.html

  • KDnuggets™ News 15:n28, Aug 26: How long at your Analytics job? Paradoxes of Data Science; Big Data Security

    ...science job? Paradoxes of Data Science HeroX Cognitive Computing Challenge: read a document, load database with results Information Management 10 IT Security Books for Big Data Scientists Business Analytics & Business Intelligence Online Certificates & Degrees Predictive Analytics...

    https://www.kdnuggets.com/2015/n28.html

  • Big Data, Privacy, and Security – which side are you on?

    ...has an opportunity this week to vote on the bipartisan USA Freedom Act,”. They also added “We urge you to pass the bill, which both protects national security and reaffirms America’s commitment to the freedoms we all cherish.” However, with the USA Freedom Act being scrutinized by a congress...

    https://www.kdnuggets.com/2015/02/big-data-privacy-security-debate.html

  • Machine Learning-driven Firewall

    …tion-Firewall I hope you liked the post. We believe in providing security resources for free to the community. Let me know about your comments and critique. Fsecurify Bio: Faizan Ahmad is Fulbright undergraduate currently studying in NUCES FAST, Lahore. Related: Machine Learning and Cyber Security

    https://www.kdnuggets.com/2017/02/machine-learning-driven-firewall.html

  • Can Big Data Catch the Bad Guys?

    ...e. Big Data will be at the very heart of this intelligence, and, in actual fact, it already is. Original. Related: Interview: Reiner Kappenberger, HP Security Voltage on Data-Centric Security for Big Data Information Management 10 IT Security Books for Big Data Scientists Big Data, Privacy, and...

    https://www.kdnuggets.com/2015/12/can-big-data-catch-bad-guys.html

  • How to Share Data Science Secrets Without Sacrificing Security

    ...les, etc One of the primary uses of secrets is to secure access to systems and data, but they’re also used to sign cookies, encrypt data, protect the network, and more. While a lone user can manage their own secrets fairly well, sharing secrets between a team of data scientists and engineers has...

    https://www.kdnuggets.com/2019/07/activestate-data-science-secrets-security.html

  • Automating Security & Privacy Controls for Data Science & BI – Webinar

    ...w levels of risk, making it challenging to manage and prepare sensitive data for data science and analytics. Join us for our live webinar, Automating Security & Privacy Controls for Data Science & BI, on August 12th at 1P.M. ET to learn how Immuta for Databricks enables you to maximize the value of...

    https://www.kdnuggets.com/2020/07/immuta-automating-security-privacy-controls-data-science-bi.html

  • Phishytics – Machine Learning for Detecting Phishing Websites

    ...ecurity Engineer in June 2020. His interests lie at the intersection of cyber security, machine learning, and business analytics and he has done plenty of research and industrial projects on these topics. Original. Reposted with permission. Related: Applying Data Science to Cybersecurity Network...

    https://www.kdnuggets.com/2020/03/phishytics-machine-learning-detecting-phishing-websites.html

  • Top 5 Data Science Trends for 2020

    ...s market already has access to many experts who are proficient in data science and computer science, there is still a need for more professional data security professionals who can process data to customers securely. For that, data security scientists must be well versed with the latest...

    https://www.kdnuggets.com/2020/02/top-5-data-science-trends.html

  • Security Informatics most viewed articles – open access

    Security Informaticsis a SpringerOpen journal, edited by a leading data mining and security researcher Prof. Hsinchun Chen. The journal provides an excellent opportunity to reach out to an international audience of security-related academic researchers, industry practitioners, and government IT...

    https://www.kdnuggets.com/2013/06/security-informatics-most-viewed-articles-open-access.html

  • Two Most Important Trends in Analytics and Big Data in 2015

    ...cation and material to learners and their participation (by region) and at Hadoop’s market (and those of competitors), again, as a start. 2. Big Data Security Another important trend in 2015 for Analytics and Big Data will be new big data security advances, to protect customers and the greater...

    https://www.kdnuggets.com/2015/02/most-important-trends-analytics-big-data-2015.html

  • AnalyticsStreet Panel Report: Frontiers and Dangers of Analytics and Big Data

    ...s that companies /organizations need to address? Adam Fuchs: Obviously, given our heritage in the US Intelligence Community and current focus on cybersecurity, we feel that security is the biggest risk to Big Data and Analytics projects today. When you consolidate all your data in one place, as is...

    https://www.kdnuggets.com/2014/11/analyticsstreet-startup-panel-frontiers-dangers-analytics.html

  • Security Data Analyst/Scientist

    ...al candidate for this position will have the skills and experience necessary to: Be responsible for collecting and analyzing operational data for the Security organization Prepare statistical and narrative reports and recommendations, and participates in the analysis and interpretation of data as...

    https://www.kdnuggets.com/jobs/13/05-08-zionsbancorp-security-data-analyst-scientist.html

  • Vanderbilt: Health Sys Analyst Programmer II 1311219

    ...program documentation as per standards Provide timely status reporting as required or needed Integrity and security of data Ensure the integrity and security of institutional data Promote confidentiality, security policies and procedures Provide support for user security processes Be aware of...

    https://www.kdnuggets.com/jobs/14/01-03-vanderbilt-health-sys-analyst-programmer.html

  • 5 EBooks to Read Before Getting into A Data Science or Big Data Career

    ...skill sets for a data science role; Resources to build on your learning; And much more! Click here to download Big Data ebook for free   2. Top Programming Languages for a Data Scientist Programming is a core technical skill that is an absolute must-have for data scientists. Learn which...

    https://www.kdnuggets.com/2016/08/simplilearn-5-free-ebooks-data-science-big-data.html

  • Fastest Growing Programming Languages and Computing Frameworks

    comments By Nathan Epstein The Redmonk Language Rankings have been an important tool for ranking the popularity of programming languages since the analysis (regressing Github repo count against Stack Overflow posts) was first done in 2010. The fact that the repo count and post count are…

    https://www.kdnuggets.com/2016/03/ranking-growth-programming-languages.html

  • If programming languages were vehicles, what would be R, Python, SAS, and SQL?

    comments By Gregory Piatetsky, @kdnuggets, Dec 6, 2014. I recently read (and tweeted) a funny post Hilarious ! If programming languages were vehicles: on C, C++, Java, Python, Perl, Lisp, ... http://t.co/JZMk0NRMed pic.twitter.com/romPicF6Y1— Gregory Piatetsky (@kdnuggets) December 1,...

    https://www.kdnuggets.com/2014/12/if-programming-languages-were-vehicles-r-sas-sql.html

  • Top stories in December: If programming languages were vehicles; Cartoon: Unexpected Data Science Recommendations

    Most viewed If programming languages were vehicles, what would be R, Python, SAS, and SQL? - Dec 6, 2014. Geoffrey Hinton talks about Deep Learning, Google and Everything - Dec 1, 2014. Most Demanded Data Science and Data Mining Skills - Dec 15, 2014. IBM Watson Analytics vs. Microsoft Azure...

    https://www.kdnuggets.com/2015/01/top-news-2014-dec.html

  • Online Data Science Certificates: Analytics and Programming for Data Science

    ...ecommender systems, and time-to-event analysis. This certificate can be completed in about 18 months, with flexible start times throughout the year. "Programming for Data Science" certificate focuses on the open-source programming environments seen in analytics and Big Data applications - R,...

    https://www.kdnuggets.com/2014/03/online-data-science-certificates-analytics-programming-for-data-science.html

  • KDnuggets™ News 15:n35, Oct 28: Data Science Machine; Programming: Python vs R; KDnuggets Addiction

    ...- Hero Gov Team Renovate America: Sr. Data Scientist - Origination Risk U. of California, Santa Cruz: Assistant Professor in Economic and Information Networks    Publications New Books on Accelerating Discovery, Event Mining, Networking for Big Data    Top Tweets Top KDnuggets...

    https://www.kdnuggets.com/2015/n35.html

  • Free From MIT: Intro to Computational Thinking and Data Science">Gold BlogFree From MIT: Intro to Computational Thinking and Data Science

    ...le to anyone interested in learning.   The course website describes itself as: [T]he continuation of 6.0001 Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience. It aims to provide students with an understanding of the...

    https://www.kdnuggets.com/2020/10/free-mit-intro-computational-thinking-data-science-python.html

  • Perfume, computer programming, and Harvard

    ...g to pay a 2800% premium for the Harvard name, as opposed to an EdX credential. A bit like perfume. Statistics.com also has an introductory track for programming, focusing on the needs of data scientists, using R, Python and SQL. Small classes, individual attention from instructor and teaching...

    https://www.kdnuggets.com/2014/10/perfume-computer-programming-harvard.html

  • Geisinger: Senior Data Science Programmer

    ...rmance Computing environment 4) Manage the shared data and analytics resources for the data science group Experience: A minimum of 3 years of general development experience or 1 year of development experience in a scientific computing (e.g., supercomputing) specialty For more information and to...

    https://www.kdnuggets.com/jobs/15/07-20-geisinger-senior-high-performance-computing-programmer.html

  • Data Scientist

    ...uses, import and/or move data between stores, and take random samples. Maintain data dictionaries to support knowledge transfer. Systems Analysis and Development (25%) Contribute development effort and high-level planning to web-based applications that improve business processes across University...

    https://www.kdnuggets.com/jobs/13/05-31-umich-data-scientist.html

  • Equifax: Senior Statistical Modeler

    ...ve model development - accountable for the design of innovative new solutions as well as leading the development of those solutions (Proof of Concept development, business case development, feasibility analysis, prototyping through product delivery) Internal business development - work with product...

    https://www.kdnuggets.com/jobs/16/10-14-equifax-sr-statistical-modeler.html

  • Disney Parks & Resorts: Decisioning Development Marketing Manager

    ...ter and a quick learner with a desire to learn new tools and techniques. This role will oversee a part-time resource also responsible for decisioning development. Responsibilities In-house management of WDPR's real-time personalization tool, serving as a key team member in cross-departmental and...

    https://www.kdnuggets.com/jobs/15/11-04-disney-decisioning-development-marketing-manager.html

  • RCloud – DevOps for Data Science

    …ich prevents unauthenticated clients from making unauthorized calls to the RCloud runtime environment and RCloud notebooks may be encrypted for added security; read more about RCloud security features on our Documentation pages. An RCloud session runs on both client and server and it is possible…

    https://www.kdnuggets.com/2016/11/rcloud-devops-data-science.html

  • Turner: Advisor Analytics Architect

    ...integrate data/model solutions with business applications Development of business intelligence visualization and tools to support business processes Development of API and system integration code Development of data visualizations and interactive business intelligence tools Development of complex...

    https://www.kdnuggets.com/jobs/17/03-24-turner-advisor-analytics-architect.html

  • SAP.iO Start-Up Incubator: Senior Data Scientist

    ...ear and compelling way Excellent written and communication skills in English language Experience working in a startup environment with a lean product development process through rapid iteration Experience working closely with developers and designers throughout the product development process...

    https://www.kdnuggets.com/jobs/16/11-09-sap-senior-data-scientist.html

  • Disney: Decisioning Development Manager II

    ...ter and a quick learner with a desire to learn new tools and techniques. This role will oversee a part-time resource also responsible for decisioning development. Responsibilities In-house management of WDPR's real-time personalization tool, serving as a key team member in cross-departmental and...

    https://www.kdnuggets.com/jobs/15/10-01-disney-decisioning-development-manager.html

  • Data Science For Our Mental Development

    ...es of being able to read emotions using AI and helping us understand ourselves and those around us, we must not forget the potential challenges: Data Security: According to the World Privacy Forum, the street value of stolen healthcare credentials is around $50, compared to the street for $1 for...

    https://www.kdnuggets.com/2019/02/data-science-mental-development.html

  • The Problem With Self-Serve Analytics

    ...is approach here isn't what makes him stand out. Nearly any security officer worth their salt would do the same thing in this situation. Why? Because security officers like Rafae see themselves as being responsible for security outcomes, not just inputs. Rafae didn't just give me the information I...

    https://www.kdnuggets.com/2019/03/problem-self-serve-analytics.html

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