Search results for Information Assurance Development Programming

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  • 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

  • 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

  • Just How Smart Are Smart Machines?

    …“learn” — their decisions get better with more data, and they “remember” previously ingested information. For example, as Watson is introduced to new information, its reservoir of information expands. Other systems in this category get better at their cognitive task by having more data for training…

    https://www.kdnuggets.com/2016/12/davenport-how-smart-are-smart-machines.html

  • Understanding Decision Trees for Classification in Python

    ...ponding split point that results in the largest information gain (IG) for a given criterion (gini or entropy in this example). Loosely, we can define information gain as IG = information before splitting (parent) — information after splitting (children) For a clearer understanding of parent and...

    https://www.kdnuggets.com/2019/08/understanding-decision-trees-classification-python.html

  • Interview: Piero Ferrante, BCBS on Why Healthcare is Rich in Data but Poor in Information

    ...us understand a wide range of scenarios for different books of business. AR: Q2. Healthcare is often referred to as a sector rich in data and weak in information. Do you agree? What are the biggest challenges in leveraging healthcare data? PF: That’s fair to say. I define analytics as the...

    https://www.kdnuggets.com/2014/07/interview-piero-ferrante-bcbs-kansas-city-healthcare-analytics.html

  • 2014 Jan: Analytics, Big Data, Data Mining and Data Science News

    ...2014. Health Sys Analyst Programmer II 1311219 at Vanderbilt U. & Medical Center, Nashville, TN - Jan 3, 2014. Analyze operational processes and information generation or utilization. Develop, test, implement and support computer-based information systems. Assist lower level analyst...

    https://www.kdnuggets.com/2014/01/index-old.html

  • 9 Key Deep Learning Papers, Explained">Gold Blog9 Key Deep Learning Papers, Explained

    ...ons are embedded to a 500 dimensional space. Now we have 20 different 500 dimensional vectors (represented by v in the paper) for each image. We have information about the image. Now, we want information about the sentence. We’re going to embed words into this same multimodal space. This is done by...

    https://www.kdnuggets.com/2016/09/9-key-deep-learning-papers-explained.html

  • Interview: Amit Sheth, Kno.e.sis on Deriving Value from Big Data through Smart Data

    ...ng, outdoor pollen and smog, etc. From the cyber world we utilize a conceptual model for how physicians classify levels of asthma control, historical information, information collected from health organizations (e.g., number of asthma related admissions and deviations from the norm), and from the...

    https://www.kdnuggets.com/2015/01/interview-amit-sheth-knoesis-smart-data.html

  • Social Media for Marketing and Healthcare: Focus on Adverse Side Effects

    …n that people share on social media is not limited to beautiful pictures, links to different websites and funny statuses. There is much more valuable information, and personal health issues are part of it. Social media posts may contain information about adverse effects (AEs) and thus play a vital…

    https://www.kdnuggets.com/2017/01/social-media-marketing-healthcare-focus-adverse-side-effects.html

  • Machine Learning and Misinformation

    ...ill bring huge advances to our ability to communicate with each other, but it also poses an enormous threat with the creation and dissemination of disinformation and misinformation. The difference between disinformation and misinformation is intent; disinformation is created with a malicious intent...

    https://www.kdnuggets.com/2017/07/machine-learning-misinformation.html

  • Doing Data Science: A Kaggle Walkthrough Part 2 – Understanding the Data

    ...e users in both the testing and training datasets above. With this information in mind, an easy first step in understanding the data is reviewing the information provided by the data provider – Airbnb. For this competition, the information can be found here. The main points (aside from the...

    https://www.kdnuggets.com/2016/05/doing-data-science-kaggle-walkthrough-understanding-data.html

  • Let’s Admit It: We’re a Long Way from Using “Real Intelligence” in AI

    ...the unique language of your business instead of general linguistic and semantic libraries employed today. See our video at www.datascava.com for more information. In his earlier career, John worked on real-time financial trading and decision support systems development and integration in the U.S.,...

    https://www.kdnuggets.com/2018/04/admit-long-way-from-using-real-intelligence-ai.html

  • Customer Segmentation for R Users

    ...selected products and the groups we matched after scraping: Now we can switch from 3883 “Description” values to 41 “Category” values. Let’s use this information to create new sets of variables that store information about how much each customer spends in each category. We now have our final...

    https://www.kdnuggets.com/2019/09/customer-segmentation-r-users.html

  • Can graph machine learning identify hate speech in online social networks?

    ...s, we can correctly identify more hateful users for the same low number of misclassified normal users. We can conclude that by using the relationship information available in the data, as well as the unlabelled user information, the performance of a machine learning model on sparsely labelled...

    https://www.kdnuggets.com/2019/09/graph-machine-learning-hate-speech-social-networks.html

  • Careful! Looking at your model results too much can cause information leakage

    ...he model is improved, but you have used information about the test set to feed into the model. Information has been leaked between the groups.   Information Leakage   Information leakage is when information from a sealed system leaks out somewhere it shouldn’t. This is a term often used...

    https://www.kdnuggets.com/2019/05/careful-looking-model-results-cause-information-leakage.html

  • Blockchains and APIs

    ...systems. In the coming era, Individuals themselves i.e; the Voluntary information/data that we provide are the emerging source of kind of intriguing information apart from existing methodology of receiving information through connected devices. For Instance, recently the Unites States (U.S) fast...

    https://www.kdnuggets.com/2018/03/blockchains-apis.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

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

    ...programming proficiency. A typical student profile in this program might be someone working in IT who wants to expand into analytics; a student with programming experience would require about a year to complete all courses. Instruction in basic programming is available for novice programmers (in...

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

  • 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

  • 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

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

    ...ons |  Tweets | Quote    Features The Data Science Machine, or ‘How To Engineer Feature Engineering' Data Science Programming: Python vs R Cartoon: KDnuggets Addiction How to Use Data Visualizations to Win Over Your Audience Introducing: Blocks and Fuel -...

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

  • 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

  • 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

  • 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

  • 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

  • RCloud – DevOps for Data Science

    …zations, recommendations and reports were done with another. This separation often extended to the very systems where the tools were located (e.g., a development environment versus a production environment). Separating the tools and the environments hinders mid-process feedback and development

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

  • Data Science For Our Mental Development

    ...ing to the World Privacy Forum, the street value of stolen healthcare credentials is around $50, compared to the street for $1 for stolen credit card information or social security number alone. Similarly, mental health information is sensitive personalized data that can be exploited by hackers....

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

  • UCLouvain: Postdoc, Machine Learning/Information Visualisation

    ...social security is about 26000 euros per year, or more, depending on seniority. Applicants should be knowledgeable in machine learning, data mining, information visualisation, with a particular interest in manifold learning, dimensionality reduction and information retrieval. Applicants should...

    https://www.kdnuggets.com/academic/13/01-23-uclouvain-postdoc-machine-learning-information-visualisation.html

  • Are Big Data and Privacy at odds? FICO Interview

    ...What is your opinion of personal data marketplaces? (for example Datacoup start-up gives people $8/month in exchange for access to their social media information.) AJ: I expect to see more of this trend. People realize there’s value in their information, and they want to know how they can get a...

    https://www.kdnuggets.com/2014/04/big-data-vs-privacy-fico-interview.html

  • Big Data Innovation Summit 2014 Toronto: Day 2 Highlights

    ...t market is currently bullish on Big Data. Shirin stated that there are 2 approaches in Analytics, which she referred to as "Stone Age" approach and "Information Age" approach. She shared the following anonymous quote: “The Stone Age was marked by the clever use of crude tools; the Information Age...

    https://www.kdnuggets.com/2014/08/big-data-innovation-summit-2014-toronto-day2.html

  • UC Berkeley Master of Information and Data Science, Online

    UC Berkeley School of Information’s Master of Information and Data Science The Master of Information and Data Science (MIDS) is a degree program delivered online for professionals looking to become leaders in the field of data science. The program features a multidisciplinary approach that...

    https://www.kdnuggets.com/2014/04/berkeley-ms-information-data-science-online.html

  • Are physicians worried about computers machine learning their jobs?

    …dical errors. Journal of health care finance, 39(1), 39. Ash2004JAMIA: Ash, J. S., Berg, M., & Coiera, E. (2004). Some unintended consequences of information technology in health care: the nature of patient care information system-related errors. Journal of the American Medical Informatics…

    https://www.kdnuggets.com/2017/08/are-physicians-worried-about-computers-machine-learning-their-jobs.html

  • Bayesian Basics, Explained">Silver BlogBayesian Basics, Explained

    ...sian methods are often characterized as “subjective” because the user must choose a “prior distribution,” that is, a mathematical expression of prior information. The prior distribution requires information and user input, that’s for sure, but I don’t see this as being any more “subjective” than...

    https://www.kdnuggets.com/2016/12/bayesian-basics-explained.html

  • Scalable graph machine learning: a mountain we can climb?

    ...other nodes from a graph - even the entire graph. In a more traditional deep learning pipeline, if we want to predict something about x, we only need information about x itself. But with the graph structure in mind, in order to predict something about x we potentially need to aggregate information...

    https://www.kdnuggets.com/2019/12/scalable-graph-machine-learning.html

  • How Concerned Should You be About Predictor Collinearity? It Depends…

    ...rlap in the information provided by the two predictors increases, the amount of information specific to each predictor decreases. This overlap in the information between the two predictors means that the amount of information specific to each of these two predictors that each row of the data...

    https://www.kdnuggets.com/2019/08/predictor-collinearity.html

  • Data Capture – the Deep Learning Way

    ...itectures originally designed for scene understanding tasks in computer vision - a page is our scene, an approach completely unrelated to traditional information extraction. Precise reading When we identify multiple focal points on the page, it is time to precisely read and evaluate the...

    https://www.kdnuggets.com/2018/09/data-capture-deep-learning-way.html

  • Neural Networks with Numpy for Absolute Beginners: Introduction

    ...earing, creative thinking and so on. This is because the neurons belonging to a specific region in the brain are trained to process a certain kind of information better and hence get activated only when certain kinds of information is being sent. The figure below gives us a better understanding of...

    https://www.kdnuggets.com/2019/03/neural-networks-numpy-absolute-beginners-introduction.html

  • Inside Pluribus: Facebook’s New AI That Just Mastered the World’s Most Difficult Poker Game

    ...imperfect-information environment which means that players never have a complete picture of the game. No other game embodies the challenge of hidden information quite like poker, where each player has information (his or her cards) that the others lack. Additionally, an action in poker in highly...

    https://www.kdnuggets.com/2019/08/inside-pluribus-facebooks-new-ai-poker.html

  • Understanding Convolutional Neural Networks for NLP

    …er regions. By performing the max operation you are keeping information about whether or not the feature appeared in the sentence, but you are losing information about where exactly it appeared. But isn’t this information about locality really useful? Yes, it is and it’s a bit similar to what a bag…

    https://www.kdnuggets.com/2015/11/understanding-convolutional-neural-networks-nlp.html

  • 3 Key Ethics Principles for Big Data and Data Science

    ...ub Sensitive Data Employees in the information science field must comprehend what data is personal and delicate and identify the ways to utilize such information. When information on consumers is collected without consent, it must be scrubbed of insight that can cause the figures to be personally...

    https://www.kdnuggets.com/2016/07/ethics-principles-big-data-science.html

  • Lynn Goldstein, Chief Data Officer, NYU on the Need for Data Governance

    ...re leveraging Cloud Computing. How does that impact data governance? LG: I do not think that cloud computing changes anything; fundamentally the same information management and accountability principles apply in the cloud context. Information in the hands of a third party needs to be managed with...

    https://www.kdnuggets.com/2014/06/interview-lynn-goldstein-chief-data-officer-nyu-data-governance.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

  • 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

  • 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

  • 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

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

    ...jects - Feb 20, 2018. 5 Fantastic Practical Machine Learning Resources - Feb 06, 2018. Introduction to Python Ensembles - Feb 09, 2018. Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch - Feb 20, 2018. Introduction to Functional Programming in Python - Feb 28, 2018. A...

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

  • 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

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

    ...tor ML models at scale. Statistica Data Miner, a comprehensive, integrated statistical data analysis, graphics, data base management, and application development system. Synapse, a development environment for neural networks and other adaptive systems, supporting the entire development cycle from...

    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

  • 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

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

    ...aev: Berg is a widely diversified company in healthcare. We have four business divisions that independently focus on areas such as drug discovery and development, detection of novel biomarkers, development and commercialization of diagnostic tests, data analytical work in healthcare, and predictive...

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

  • Turbo Charge Agile Processes with Deep Learning

    ...the essence of the approach. The key to leveraging Deep Learning, or more broadly AI, in the workplace is to understand where it fits within an agile development environment. (It is of course obvious that Deep Learning development and operations should work within a continuous integration and...

    https://www.kdnuggets.com/2017/02/turbo-charge-agile-processes-deep-learning.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

  • American Family Insurance: Analytics Strategy & Integration Director

    ...to collaborate with Strategic Data & Analytics management as well as other business partners internal and external to the division to coordinate development and integration of advanced analytics projects. Ensures analytics strategy, development and integration approach are well-aligned with...

    https://www.kdnuggets.com/jobs/16/05-12-amfam-analytics-strategy-integration-director.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/14/09-20-mastercard-business-leader-product-development-fraud-data-strategy-b.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

  • 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

  • Rethinking 3 Laws of Machine Learning

    …data has far exceeded human ability to effectively manually manage it. Fortunately, in the not-too-distant future lies the possibility of Predictive Information Governance (PIG). I consider this automated information governance—which is based on unsupervised machine learning technology—to be the…

    https://www.kdnuggets.com/2017/10/3-laws-machine-learning.html

  • The Foundations of Algorithmic Bias

    …fortune compounded through use of the recidivism predictor. You might hope that we could get around this problem by withholding sensitive demographic information from the machine learning algorithm. If the model didn’t know who was black and who is white, how could it learn to discriminate between…

    https://www.kdnuggets.com/2016/11/foundations-algorithmic-bias.html

  • Data Science & Ancestry

    …Does this take away the mystery of genealogy, the romanticized time spent in archives? Not really, but it poses a more cost-effective way to acquire information about family history and find precisely that one “John Smith”. Those who desire physical journeys, the ups and downs of the information

    https://www.kdnuggets.com/2016/12/data-science-ancestry.html

  • Uber-fication! Uberize Your Business

    …oke down the asymmetry of information that was at work in the car and taxi business. Both drivers and riders had access to the same pricing and route information. In general, this open sharing of information has been at the core of most Internet sites and growth in sites like Amazon, eBay, Kayak,…

    https://www.kdnuggets.com/2017/01/uber-uberize-your-business.html

  • Uber-fication: Lessons from Uber in Economics, Digital, Risk, and Analytics

    …oke down the asymmetry of information that was at work in the car and taxi business. Both drivers and riders had access to the same pricing and route information. In general, this open sharing of information has been at the core of most Internet sites and growth in sites like Amazon, eBay, Kayak,…

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  • Why Deep Learning is perfect for NLP (Natural Language Processing)">Silver BlogWhy Deep Learning is perfect for NLP (Natural Language Processing)

    ...g the data regarding dog. Therefore, discrete IDs separate the actual semantic meaning of the word from its representation. Although some statistical information can be calculated at the document level, information at the atomic level is extremely limited. This is where distributed vector...

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  • U. of Iowa: Lecturer: Business Analytics & Information Systems

    ...ment of Management Sciences at The University of Iowa invites applicants for one or more lecturer positions teaching topics in business analytics and information systems in the undergraduate, Master’s, and MBA programs starting August 17, 2016. We seek candidates for full-time (8 courses/year),...

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  • Wharton: Operations and Information Management Faculty

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  • Privacy Protection and Information Sites

    ...Electronic Privacy Information Center, a public interest research center in Washington, D.C. FTC (Federal Trade Commission) privacy initiatives page Information and Privacy Commisioner/Ontario, CA Junkbusters, a comprehensive collection of information about junk messages and how to stop them...

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  • Nutrition & Principal Component Analysis: A Tutorial

    ...contain, aiming to reduce mutual information shared between components. Hence, ICA’s components are independent, with each component revealing unique information on the data set. Information has thus far been represented by the degree of data spread, with dimensions along which data is more spread...

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  • White House-MIT Big Data Privacy Workshop – Top Researcher Reports

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    https://www.kdnuggets.com/2014/03/white-house-mit-big-data-privacy-workshop-report.html

  • Privacy, Security and Ethics in Process Mining

    …lso the list of common process mining attributes and how they are impacted if anonymized in [5]). Keep in mind that despite the anonymization certain information may still be identifiable. For example, there may be just one patient having a very rare disease, or the birthday information of your…

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

  • Amazon: Machine Learning – Technical Project Manager (TPM)

    ...tomers to understand their requirements and needs, generate ideas, define requirements, create technical specifications, oversee development, quality assurance and product delivery. This is a highly visible role that requires experience working with senior management and technical depth for...

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  • Don’t learn Machine Learning in 24 hours

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    https://www.kdnuggets.com/2018/04/dont-learn-machine-learning-24-hours.html

  • From Science to Data Science, a Comprehensive Guide for Transition

    ...s); and given you background you want to be a Type A Data scientist (i.e. more a statistician than a regular programmer), according to this taxonomy. Programming languages Most likely practical programming is the main skill you are missing. For general data science, the standard tools are Python...

    https://www.kdnuggets.com/2016/04/data-science-comprehensive-guide-transition.html

  • Top KDnuggets tweets, Sep 07-13: Dask for #Parallel Programming; Computationally generated Average Face

    ...he (Not So) New #DataScientist Venn Diagram https://t.co/TK129EAt7F #DataScience https://t.co/uQ3EwllZlB Most Clicked: Introducing Dask for #Parallel Programming: Interview with Project Lead Developer @mrocklin https://t.co/6JTaOBBW5z https://t.co/i7wgGv1mDJ Top 10 most engaging Tweets Not so...

    https://www.kdnuggets.com/2016/09/top-tweets-sep07-13.html

  • How to Learn Python for Data Science the Right Way">Gold BlogHow to Learn Python for Data Science the Right Way

    ...n learning the modules and libraries in Python to perform these tasks. Follow this incremental steps to learn Python for data science. Configure your programming environment   The Jupyter Notebook is a powerful programming environment for developing and presenting data science projects. The...

    https://www.kdnuggets.com/2019/06/python-data-science-right-way.html

  • Top Handy SQL Features for Data Scientists">Gold BlogTop Handy SQL Features for Data Scientists

    ...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: Is SQL needed to...

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  • The secret sauce for growing from a data analyst to a data scientist

    ...ng how to use Jupyter will be key for a quicker workflow and data/model exploration. Tip 4: Practise practise and practise for stronger better faster programming skills. Because programming gives you magical powers Entering hackathons, participating in kaggle competitions, working on a personal...

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  • Best Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools">Silver BlogBest Machine Learning Languages, Data Visualization Tools, DL Frameworks, and Big Data Tools

    ...and the large number of application domains it supports. C++ has both high-level and low-level language features, so it is considered a middle-level programming language. Another application of this language is the development of drivers and software that can directly interact with hardware under...

    https://www.kdnuggets.com/2018/12/machine-learning-data-visualization-deep-learning-tools.html

  • Comprehensive Guide to Learning Python for Data Analysis and Data Science

    …data (e.g. R, SAS), Python is the only true general purpose programming language. Check out this infographic for a more thorough comparison. Popular Programming Language: In addition, Python is one the most popular programming languages, when compared with other general purpose languages (e.g….

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  • Top SAS Courses Online

    ...ng to get proficient in SAS Base programming. Certified SAS Base Programmer Certification Training (ed2go.com) https://www.ed2go.com/courses/computer-programming/programming-classes/ctp/certified-sas-base-programmer-certification-training This course is a self-paced online course with a 6-month...

    https://www.kdnuggets.com/2018/05/top-sas-courses-online.html

  • Top 8 Data Science Use Cases in Gaming

    ...s quite widespread in the virtual world of gaming. Payment fraud is also quite often in gaming. The fraudsters tend to create special bots to get the information necessary for payment. Therefore, gaming companies need to assure a high level of security to the player's personal information and...

    https://www.kdnuggets.com/2019/04/top-8-data-science-use-cases-gaming.html

  • Bayer: Principal Clinical Data Manager [Whippany, NJ]

    ...the corresponding activities of the Early Clinical Team and Clinical Project Team; Ensure smooth phase-transitioning of project between research and development phase in P&O (Portfolio & Operations), is instrumental to facilitate data access and exchange between research and development...

    https://www.kdnuggets.com/jobs/19/06-24-bayer-principal-clinical-data-manager.html

  • The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity

    ...iction – it’s already happening. And its continued development is, IMHO, not only the most likely, but also the most beneficial route forward for the development of mankind. But will that further development of the merging of man and machine go so far as to reach the point of technological...

    https://www.kdnuggets.com/2017/06/kaspersky-artificial-intelligence-bubble-future-cybersecurity.html

  • From Insight-as-a-Service to Insightful Applications

    ...er storage, abundant and cheap processing power and networking bandwidth, and cloud-enabled separation of storage and computing have helped drive the development of insightful applications. Despite our improving understanding of insight generation, the technology advances we have made, and the...

    https://www.kdnuggets.com/2016/05/simoudis-insight-service-insightful-applications.html

  • DevOps for Data Scientists: Taming the Unicorn

    ...t data science and Data Scientists are not experts in DevOps and IT. Hence, communication is key for a successful business outcome.   Additional Information   Software Development Design Principles When people start out as self-taught programmers, a lot of the times we think about...

    https://www.kdnuggets.com/2018/07/devops-data-scientists-taming-unicorn.html

  • United Nations University: Data Science Lead

    ...and will lead on the data aspects of the project. She/he will be responsible for managing relationships with external data providers; overseeing the development of data handling, storage, integration, and presentation within the project; and will lead in the development of data-related analytical...

    https://www.kdnuggets.com/jobs/17/05-25-united-nations-university-data-science-lead.html

  • The Internet of Things in the Cloud

    ...tic Compute Cloud (EC2), which uses the Xen open-source hypervisor to create and manage virtual machines. Platform as a Service (PaaS): PaaS provides development environments for creating cloud-ready business applications. It provides a deeper set of capabilities comparing to IaaS, including...

    https://www.kdnuggets.com/2017/05/internet-of-things-iot-cloud.html

  • Sr. Capability Implementation Manager, Machine Learning

    ...ent responses and other educational texts into ETS Capabilities. Apply technical and software engineering skills in executing projects and capability development in support of educational products and services. Incorporate best practices in machine learning into the development and evaluation...

    https://www.kdnuggets.com/jobs/13/06-06-ets-sr-capability-implementation-manager-machine-learning.html

  • Boeing: Big Data Architect – Level 4/5

    .... An employee will typically work on multi-year projects that end with capability transitions. Project work can be funded by Independent Research and Development, Internal Application Development, Contracted Research and Development, or support to a Business Unit. An employee will work on a small...

    https://www.kdnuggets.com/jobs/15/11-14-boeing-big-data-architect.html

  • Bot or Not: an end-to-end data analysis in Python

    …cess the data, develop, and test a classifier all with Python. We’ve also seen that there’s room for improvement. Utilities for fast, iterative model development are rich in R’s caret package, and caret serves as a great model for future development in scikit-learn. Bio: Erin Shellman is a…

    https://www.kdnuggets.com/2015/11/bot-not-data-analysis-python.html

  • Equifax: Senior Director, Search-Match & Data-Linking

    ...rategies that solve customer business problems Design innovative search-match solutions and lead the development of those solutions (Proof of Concept development, business case development, feasibility analysis, prototyping through full new product deliverables) Internal Business Development – work...

    https://www.kdnuggets.com/jobs/16/10-14-equifax-director-search-data-linking.html

  • Interview: Emmanuel Letouzé, Data-Pop Alliance on Big Data and Human Rights – A Complex Affair

    ...uman Right. AR: Q3. In your 2012 paper "Big Data for Development: Challenges and Opportunities", you mentioned that in order for Big Data to work for development, we need to become "Sophisticated Users of Information". Can you elaborate on that? EL: As you point out that was in 2012—actually...

    https://www.kdnuggets.com/2015/04/interview-emmanuel-letouze-data-pop-alliance-human-rights.html

  • AT&T: Lead Product Development Mgr, Big Data Algorithms and Insights

    ...g insights with tremendous value. As Lead product Development Manager for algorithms and insights, you will work closely with the Director of Product Development to lead all aspects of advanced analytics, novel algorithms, interactions with scientific teams currently working on product definitions,...

    https://www.kdnuggets.com/jobs/14/03-19-att-lead-product-development-mgr-big-data-algorithms-insights.html

  • Webinar: Credit Scorecard Development, Sep 26

    ...gers need closed-loop processes and tools to meet requirements while optimizing revenue growth. Join us for a complimentary webinar, Credit Scorecard Development, led by Dr. Mamdouh Refaat, industry expert and Chief Data Scientist. Register to learn how to: Create automated and scalable credit...

    https://www.kdnuggets.com/2013/09/angoss-credit-scorecard-development-sep-26-webinar.html

  • Vencore: Software Engineer, Machine Learning

    ...), Python development in a Linux environment Desired Skills: Algorithm development Statistics/Biostatistics/Operations Research background R Language Development Configuration management: SVN, Github Development environments: RStudio, Jupyter, Eclipse, Spyder, Anaconda Machine learning frame works:...

    https://www.kdnuggets.com/jobs/16/11-23-vencore-software-engineer-machine-learning.html

  • Webinar: Credit Scorecard Development

    ...gers need closed-loop processes and tools to meet requirements while optimizing revenue growth. Join us for a complimentary webinar, Credit Scorecard Development, led by Dr. Mamdouh Refaat, industry expert and Chief Data Scientist. Register to learn how to: Create automated and scalable credit...

    https://www.kdnuggets.com/2013/09/angoss-credit-scorecard-development-sep-26-webinar2.html

  • Amazon: Business Intelligence Engineer, Mobile Business Development

    ...obile site/application traffic, understand customer behavior, feature performance and accurately calculate ROI across multiple marketing and Business Development channels. As a BI Engineer working on the analytics platform, you will be developing and supporting the analytic technologies to give our...

    https://www.kdnuggets.com/jobs/14/04-17-amazon-bi-engineer-mobile-business-development.html

  • Customer-Driven Product Development for the Future, June 6 webinar

    ...products to meet the future needs of your customer and thrive in the future of insurance. Join the webinar: Balancing Risk: Defining Value in Product Development Innovation for Customer and Carrier (June 6th, 10am CT). Register for this free webinar for strategies to achieve rapid and...

    https://www.kdnuggets.com/2018/05/insurancenexus-balancing-risk-value-innovation-june-webinar.html

  • Kobielus Predictions for Data Science in 2017

    ...sharing paradigm; maintain auditable project logs for algorithmic transparency, and enforce robust tracking and governance of data, models, and other development artifacts. Within increasingly federated data-science development teams, more training data curation will be sourced from open...

    https://www.kdnuggets.com/2016/12/ibm-kobielus-predictions-data-science-2017.html

  • Walmart: Systems Analyst (Developer, Data Science)

    ...mentation on Hadoop Experience in Spark and NoSQL 3 years experience leading a technical team. 6 years of development experience in C/C++. 6 years of development experience in Java. 6 years of development experience in Microsoft .Net. 6 years of development experience in SQL technology. 6 years of...

    https://www.kdnuggets.com/jobs/17/11-03-walmart-systems-analyst.html

  • Top 10 Technology Trends for 2020">Silver BlogTop 10 Technology Trends for 2020

    ...ls such as voice, image, and text as input, and integrates perception and cognition technologies to achieve a multi-dimensional deep understanding of information. With the rapid development and large-scale application of computing vision, speech, natural language understanding, and knowledge graph,...

    https://www.kdnuggets.com/2020/01/top-10-technology-trends-2020.html

  • Unsupervised Investments (II): A Guide to AI Accelerators and Incubators

    ...ly close to the AI development: Industrio (Italy), a pure hardware accelerator, and Buildit (Estonia), an ‘accelerator of Things’. Summary of all the information for the accelerators listed above (only for those ones I could find information about). If you are interested in knowing why some...

    https://www.kdnuggets.com/2017/05/unsupervised-investments-guide-ai-accelerators-incubators.html

  • Marketing Analytics for Data Rich Environments

    ...e for online behaviors. The IoT will change the way people interact with their man-made environment, become a major source of new product and service development, and generate massive data in the process. In addition, the rapid development towards NUI enables people to interact with their devices...

    https://www.kdnuggets.com/2017/07/marketing-analytics-data-rich-environments.html

  • Accenture: Financial Services Analytics Senior Manager

    ...ent, selling and proposal writing for analytics within financial services industry Value Proposition Development Solution Configuration Business Case Development Proposal Development Solution Realization Approach Development Proven problem analysis and problem solving skills Strong customer...

    https://www.kdnuggets.com/jobs/17/08-09-accenture-financial-services-analytics-senior-manager.html

  • 6 Goals Every Wannabe Data Scientist Should Make for 2019

    ...science results to friends who do not have data science backgrounds. They could ask those people for suggestions to improve.   6. Learn Some New Programming Languages   Data scientists use various programming languages in their work. Learning new ones in 2019 is a proactive move to attain...

    https://www.kdnuggets.com/2018/11/6-goals-every-wannabe-data-scientist-2019.html

  • Event Processing: Three Important Open Problems

    ...Storm, Heron, etc. Figure 2 shows a breakdown of the usage of programming languages by event processing software. Figure 2: Event Processing Software Programming Language usage. (a) aggregated view (b) breakdown of the programming languages used in different event processing systems. Second, they...

    https://www.kdnuggets.com/2018/05/event-processing-important-open-problems.html

  • 9 Must-have skills you need to become a Data Scientist, updated">Platinum Blog9 Must-have skills you need to become a Data Scientist, updated

    ...n Coding Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++. Python is a great programming language for data scientists. This is why 40 percent of respondents surveyed by O'Reilly use Python as their major programming language....

    https://www.kdnuggets.com/2018/05/simplilearn-9-must-have-skills-data-scientist.html

  • 10 More Free Must-Read Books for Machine Learning and Data Science">Platinum Blog10 More Free Must-Read Books for Machine Learning and Data Science

    ...te the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand-no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and...

    https://www.kdnuggets.com/2018/05/10-more-free-must-read-books-for-machine-learning-and-data-science.html

  • The ultimate list of Web Scraping tools and software

    ...wn scraper from scratch This is for code-savvy folks who love experimenting with site layouts and tackle blockage problems and are well-versed in any programming language like Python, R or Perl. Just like their routine programming for any data science project, a student or researcher can easily...

    https://www.kdnuggets.com/2018/07/ultimate-list-web-scraping-tools-software.html

  • Top KDnuggets tweets, May 01-07: The 3 Biggest Mistakes in Learning Data Science; ReinforcementLearning vs. Differentiable Programming; XGBoost Reign

    Most popular @KDnuggets tweets for May 01-07 were Most Retweeted: #ReinforcementLearning vs. Differentiable Programming https://t.co/dRxWINcwfQ https://t.co/x1R7S9Ym2I Most Favorited: Another 10 Free Must-See Courses for Machine Learning and Data Science https://t.co/Humu1CqAea...

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  • Deep Conversations: Lisha Li, Principal at Amplify Partners

    ...our talk at the Age of AI Conference in San Francisco early this year.   LL: My pleasure! I think there are formal definitions of differentiable programming based on functional programming. The things I wanted to highlight in my talk by using that term, and it was timely, given the Facebook...

    https://www.kdnuggets.com/2018/05/deep-conversations-lisha-li-amplify-partners.html

  • Top Stories, Aug 26 – Sep 1: Object-oriented programming for data scientists; Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal

    Most Popular Last Week Object-oriented programming for data scientists: Build your ML estimator, by Tirthajyoti Sarkar Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal, by Simpliv New Poll: Data Science Skills Top Handy SQL Features for Data Scientists R Users Salaries...

    https://www.kdnuggets.com/2019/09/top-news-week-0826-0901.html

  • Top 13 Skills To Become a Rockstar Data Scientist">Platinum BlogTop 13 Skills To Become a Rockstar Data Scientist

    ...g   Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++. Python is a great programming language for data scientists. This is why 40 percent of respondents surveyed by O’Reilly use Python as their major programming language....

    https://www.kdnuggets.com/2019/07/top-13-skills-become-rockstar-data-scientist.html

  • KDnuggets™ News 19:n20, May 22: 7 Steps to Mastering SQL for Data Science; How to build Math Programming Skills

    ...t 2 days to vote in KDnuggets Data Science Software Poll.   Features 7 Steps to Mastering SQL for Data Science — 2019 Edition Mathematical programming - Key Habit to Build Up for Advancing Data Science PyCharm for Data Scientists A complete guide to K-means clustering algorithm Building...

    https://www.kdnuggets.com/2019/n20.html

  • Top Stories, May 13-19: 7 Steps to Mastering SQL for Data Science — 2019 Edition; Mathematical programming — Key Habit to Build Up for Advancing Data Science

    Most Popular Last Week Mathematical programming — Key Habit to Build Up for Advancing Data Science, by Tirthajyoti Sarkar How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls, by Vegard Flovik 7 Steps to Mastering SQL for Data Science 2019 Edition The Third...

    https://www.kdnuggets.com/2019/05/top-news-week-0513-0519.html

  • Top KDnuggets tweets, Feb 20-26: Learning programming languages for free; Import Your Favorite Libraries into a Jupyter Notebook

    Most popular @KDnuggets tweets for Feb 20 - 26 were: Most Retweeted, Favorited & Clicked: Learning programming languages for free: GitHub's best guides for Python developers https://t.co/6fc7jvMyhE https://t.co/3evgQB4Av8 Most Viewed: How to Automatically Import Your Favorite Libraries into...

    https://www.kdnuggets.com/2019/02/top-tweets-feb20-26.html

  • Data Science for Internet of Things – practitioner course

    ...nd skills – ex Apache Spark, R, Azure BI etc h) We are exclusively focused on IoT (although the concepts can apply to any other vertical) Approach to Programming The main Programming focus is on Spark (Scala, SQL and R). We will also use an ioT platform (like Thingworx) The participants need to be...

    https://www.kdnuggets.com/2015/09/data-science-iot-practitioner-course.html

  • Statistics.com Online Data Science Courses and Certificates

    ...ytics NLP using NLTK Natural Lang. Processing (NLP) * Sentiment Analysis * Text Mining * Using R Data Mining - R Mapping in R R Graphics R Modeling R Programming Advanced R Programming Intermediate * R Programming Intro 1 * R Programming Intro 2 * R Statistics R ggplot2 IT/Programming Applied...

    https://www.kdnuggets.com/2015/02/statisticscom-online-data-science-courses-certificates.html

  • NYC Data Science Academy courses & bootcamps in Data Engineering, Data Science, R, Python, and Machine Learning

    ...ython-data-analysis/ Date: Sept 20, 27, Oct 4, 11, 18 Time: 1:00pm - 5:00pm This five week course is an introduction to data analysis with the Python programming language, and is aimed at beginners. We introduce how to work with different data structure in Python. We covered the most popular...

    https://www.kdnuggets.com/2015/07/nycdatascience-bootcamp-courses-r-python-machine-learning.html

  • Top news for Feb 3-9: KDD-2013 Call for Papers; Microsoft F# for Big Data programming

    Most viewed news items KDD-2013 Call for Papers - Feb 5, 2013. Microsoft F# for Big Data programming - Feb 4, 2013. Poll Results: How long to become a good data scientist ( comments) - Jan 29, 2013. Top news for Jan 27 - Feb 2: 5 years to become a data scientist; Particle Physics and...

    https://www.kdnuggets.com/2013/02/top-news-week-Feb-3.html

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