Search results for Network Security Development Programming

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  • 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

  • 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

  • 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/microsoft-f-for-big-data-programming.html

  • Taxonomy of Methods for Deep Meta Learning

    ...anipulated to generate simulated architectures. In summary, current meta-learning capabilities involve either support for search for architectures or networks inside networks. The former is an established technique to automatically explore better architectures and the latter performs well in...

    https://www.kdnuggets.com/2017/06/taxonomy-methods-deep-meta-learning.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

  • 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

  • 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

  • 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

  • Breaking neural networks with adversarial attacks

    ...cks but has been beaten by more recent ones, like the Carlini-Wagner attack, which is the current benchmark for evaluating the robustness of a neural network against adversarial attacks. Why is defending neural networks so hard? Let’s try to develop an intuition behind what’s going on here. Most of...

    https://www.kdnuggets.com/2019/03/breaking-neural-networks-adversarial-attacks.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

  • 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

  • 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 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Overview and benchmark of traditional and deep learning models in text classification

    ...els is the ability to capture the sequencial dependency between words in a sentence. This has been possible thanks to the invention of special neural network architectures called Recurrent Neural Networks. I won't cover the theoretical foundations of RNNs, but here's a link I find worth reading....

    https://www.kdnuggets.com/2018/07/overview-benchmark-deep-learning-models-text-classification.html

  • Do Conv-nets Dream of Psychedelic Sheep?

    ...ration of Google’s psychedelic inceptionism/deep dream technique. Deep dreaming was an early (2015) stab at reducing the black-box mystique of neural networks. By using the network to increasingly enhance features related to the activation of a given neuron, an image can be generated to gain some...

    https://www.kdnuggets.com/2019/06/conv-nets-dream-psychedelic-sheep.html

  • Is Learning Rate Useful in Artificial Neural Networks?

    ...is the optimal value. What if there was a prediction error? In this case, we must make a change to the network. But what exactly to change? It is the network weights. For updating the network weights, there is a method called update_weights(weights, predicted, idx) defined from line 13 to 14. It...

    https://www.kdnuggets.com/2018/01/learning-rate-useful-neural-network.html

  • Deep Learning Research Review: Natural Language Processing">Silver Blog, 2017Deep Learning Research Review: Natural Language Processing

    ...built off of this memory network approach End to End Memory Networks (only requires supervision on outputs, not supporting sentences) Dynamic Memory Networks Dynamic Coattention Networks (Just got released 2 months ago and had the highest test score on Stanford’s Question Answering Dataset at the...

    https://www.kdnuggets.com/2017/01/deep-learning-review-natural-language-processing.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

  • Bridgepoint Education: Director of Advanced Analytics

    ...tation, and maintenance of change control and testing processes for modifications to data models. Create data definitions for new database file/table development and/or changes to existing ones. Determine required network components to ensure data access, as well as data consistency and integrity....

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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Data Science 101: Preventing Overfitting in Neural Networks

    ...in these models is astronomical, reaching the millions. As a result, overfitting is commonplace. Let's see how this looks in the context of a neural network. Let's say we have a neural network with two inputs, a soft-max output of size two, and a hidden layer with 3, 6, or 20 neurons...

    https://www.kdnuggets.com/2015/04/preventing-overfitting-neural-networks.html

  • Age homophily for predicting age of mobile phone customers

    ...vide a rich platform for the study of human interactions. Understanding communication affinities can help describe the semantic content of the social network, and together with the network topology, predict users attributes and preferences. Here we address the following questions: How strong is age...

    https://www.kdnuggets.com/2014/09/age-homophily-predicting-age-mobile-phone-customers.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/15/09-14-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/15/08-12-corios-analytics-consultant.html

  • 35 Open Source tools for Internet of Things

    ...ne (M2M) communication framework for connecting devices to the Internet of Things. It includes easy-to-use Web-based management software for creating networks, applying security rules and monitoring devices. The website offers sample projects built with DeviceHub, and it also has a "playground"...

    https://www.kdnuggets.com/2016/07/open-source-tools-internet-things.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

  • 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

  • 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

  • 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

  • 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: 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Impact of IoT on Big Data Landscape

    ...ency and predicting maintenance requirements. Data Security Issues The IoT has thrown new security challenges that cannot be addressed by traditional security mechanisms. Facing IoT security issues require a paradigm shift. For example, how do you deal with a situation when the refrigerator and...

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

  • 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

  • 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

  • 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 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Industry Predictions: Key Trends in 2017

    ...uous IT operations. In 2017, we’ll start to see organizations manage data topologies in the same way they have taken to managing modern applications, networks and IT security: as a living breathing operation that must run reliably and automatically on a continuous basis. But to fulfill that quest,...

    https://www.kdnuggets.com/2016/12/industry-predictions-key-trends-2017.html

  • Everything Changes: A Human Perspective on Digitization

    ...nce, which must also be considered. The job of a developer is not the job of a programmer. It is much, much more. Another good example is information security. Since the early days of computers, there has been security. Initially, the only requirement was to control physical access to machines. As...

    https://www.kdnuggets.com/2018/01/everything-changes-human-perspective-digitization.html

  • Big Data Developer Conference, Santa Clara: Day 3 Highlights

    ...in hadoop. He mentioned the top three reasons for securing hadoop as: Hadoop contains sensitive data Hadoop is subject to regulatory adherence Hadoop security can enable your business   He briefly explained the five pillars of hadoop data security framework as following: Data Management...

    https://www.kdnuggets.com/2015/04/big-data-developer-conference-highlights-day3.html

  • PhD working on Process Mining Techniques

    ...ne on process mining) that will collaborate while being supported by several staff members from both groups. The PriCE project is part of NWO's Cyber Security program which focuses on the development of products, services and knowledge for the security of the digital society. It is part of the...

    https://www.kdnuggets.com/academic/13/05-16-tu-eindhoven-process-mining-techniques.html

  • Data Anonymization – History and Key Ideas

    ...d a member of the Belgian data protection supervisory authority, also suggests that Privacy Enhancing Technologies should take a proven model from IT-Security: the adversarial approach. “For the researchers, the key takeaway from the work is that a change of mindset is needed around privacy...

    https://www.kdnuggets.com/2019/10/data-anonymization-history-key-ideas.html

  • Analytics, Security, Deep Learning, IoT, Data Science Online Courses

    ...ve. You will also gain an appreciation of what kind of problems are most suited for this field and current research trends. Internet of Things (IoT): Programming for Analytics, online course taught by Ajit Jaokar Oct 14 - Nov 25, 2016 The "Internet of Things" (IoT) is the massive network of sensors...

    https://www.kdnuggets.com/2016/08/statisticscom-intelligence-security-analytics-online-courses.html

  • Jobs in AI, Analytics, Data Science, Machine Learning

    ...f-motivated, detail-oriented person who enjoys thinking through and creating solutions for complex problems. Computer Information Systems Instructor (Networking, Cyber-security) at Long Beach Community College District, Long Beach, CA. - Jan 28, 2020. Full-time tenure track position commencing with...

    https://www.kdnuggets.com/jobs/index.html

  • Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018">Gold BlogData Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018

    ...ronments. HPE to develop dot product engine and rollout their own neural network chips for high performance computing with inference from deep neural networks, convolutional neural networks, and recurrent neural networks. The future of quantum machine learning hinges on qubits with 10 or more...

    https://www.kdnuggets.com/2017/12/data-science-machine-learning-main-developments-trends.html

  • R or Python? Consider learning both

    …ou are well versed in programming you might begin thinking of R as a limited programming language. The truth is, R was designed more like a tool with programming capabilities, rather than a programming language. Regarding R as an open source alternative to STATA or SAS would be more appropriate…

    https://www.kdnuggets.com/2016/03/r-python-learning-both-datacamp.html

  • Netflix: Manager, Content Programming Science & Algorithms

    ...n: Los Angeles, CA Web: www.netflix.com Company: Netflix Position: Manager, Content Programming Science & Algorithms _Contact_: Apply online. Content Programming In 2017, Netflix will produce over 1,000 hours of Original series, films, stand-up, and documentaries, in addition to licensing thousands...

    https://www.kdnuggets.com/jobs/17/02-27-netflix-manager-content-programming-science-algorithms.html

  • Top Stories, Feb 26 – Mar 4: Introduction to Functional Programming in Python; A Tour of The Top 10 Algorithms for Machine Learning Newbies

    ...agic Quadrant for Data Science and Machine Learning Platforms A Tour of The Top 10 Algorithms for Machine Learning Newbies Introduction to Functional Programming in Python Most Shared Past 30 Days Neural network AI is simple. So… Stop pretending you are a genius - Feb 15, 2018. Top 20 Python...

    https://www.kdnuggets.com/2018/03/top-news-week-0226-0304.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

  • New Poll: Primary Programming Language for Analytics, Data Mining, Data Science?

    By Gregory Piatetsky, @kdnuggets. While Data Science platforms are getting easier to use, data scientists frequently need to go beyond them and actually code in a lower-level language for their tasks. Recent KDnuggets Analytics, Data Mining Software Poll showed that R and Python are the top 2 such...

    https://www.kdnuggets.com/2015/06/poll-programming-language-analytics-data-mining-data-science.html

  • Data Analytics for Business Leaders Explained

    ...e as they try to distill immensely complex subject areas into comprehensible bite-size pieces. Let's begin!   Linear Programming & NonLinear Programming: Example: Solver/ SolverTable within Excel Linear programming is an optimization method that allows users to maximize (or minimize) an...

    https://www.kdnuggets.com/2014/09/data-analytics-business-leaders-explained.html

  • Hiring Data Scientists: What to look for?

    ...cular business problem. In order to successfully perform these steps, programming needs to be done. Hence, a good data scientist should possess sound programming skills in e.g. R, Python, SAS … The programming language itself is not that important as such, as long as he/she is familiar with the...

    https://www.kdnuggets.com/2014/09/hiring-data-scientist-what-to-look-for.html

  • Software Suites/Platforms for Analytics, Data Mining, Data Science, and Machine Learning

    ...l API to store data, explore it using SQL, then train machine learning models and expose them as APIs. OpenNN, a comprehensive C++ library for neural networks research and development. Orange, open source data analytics and mining through visual programming or Python scripting. Components for...

    https://www.kdnuggets.com/software/suites.html

  • How The Algorithm Economy And Containers Are Changing The Apps

    …mming languages and use different data storage technologies.” Similar to the algorithm economy, containers are like Legos for cloud-based application development. “This changes cloud development practices,” Carlson said, “by putting larger-scale architectures like those used at Facebook and Twitter…

    https://www.kdnuggets.com/2016/02/how-algorithm-economy-containers-are-changing-apps.html

  • Precision for Medicine: Data Scientist

    ...following fields: Statistics, Applied Mathematics, Computer Science, Engineering, Data Science 2+ years of experience in front-end and user interface development 2+ years of experience in R programming Proficient in HTML5, CSS3, and JavaScript, and scripting languages (e.g. shell, perl) Experience...

    https://www.kdnuggets.com/jobs/16/07-20-precisionformedicine-data-scientist.html

  • Interview: Slava Akmaev, Berg on Healthcare Transparency & Effectiveness using Big Data

    ...ing Cytoscape and Cytoscape Web for many years. Our most common visualization templates are standardized and created automatically from the resultant networks. In addition to two dimensional network presentations, more recently we implemented a 3D visualization workflow that gives the expert user...

    https://www.kdnuggets.com/2015/03/interview-slava-akmaev-berg-healthcare.html

  • SapientNitro: Sr. Manager Marketing Analytics

    ...nalytics) to develop fully informed and holistic marketing strategy   Marketing Strategy & Planning Develop deliverable frameworks and guide development of core marketing strategies, including: Pilot Program Development Customer Segmentation Strategy Sales / Marketing Lifecycle Development...

    https://www.kdnuggets.com/jobs/15/08-07-sapientnitro-sr-manager-marketing-analytics.html

  • Machine Learning & AI Main Developments in 2018 and Key Trends for 2019">Gold BlogMachine Learning & AI Main Developments in 2018 and Key Trends for 2019

    ...ublic discourse on machine learning and AI. Perhaps I’ll annoy some people with this observation, but here’s one reasonable read on 2018: the biggest development was that there were no developments! Of course that’s too simplistic a take, but allow me to unpack the point. A substantial fraction the...

    https://www.kdnuggets.com/2018/12/predictions-machine-learning-ai-2019.html

  • Sr. Software Development Engineer – Cloud/ Big Data

    ...ticipate in the roadmap definition for the team Basic Qualifications Bachelor in Computer Science or related field 4+ years of experience in software development and full product life-cycles Coding skills in Java/C++ coupled with strong base in object-oriented design and development Experience with...

    https://www.kdnuggets.com/jobs/13/05-01-amazon-sr-sde-cloud-big-data.html

  • MasterCard: Business Leader, Product Development, Fraud Data Strategy and Modeling

    ...will be responsible for data strategy and modeling activities that support both new and existing fraud services initiatives within the fraud product development team in Enterprise Security Solutions (ESS), creating real world, real-time products that address these market challenges. Have you ever...

    https://www.kdnuggets.com/jobs/14/08-08-mastercard-business-leader-product-development-fraud-data-strategy-modeling.html

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