Search results for AI ML Programming Research

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  • Data Science 101: How to get good at R

    Everybody talks about R programming, how to learn, how to be good at it. But in this article, Ari Lamstein tells us his story about why and how he started with R along with how to publish, market and monetise R projects.

    https://www.kdnuggets.com/2016/11/data-science-101-good-at-r.html

  • 5 EBooks to Read Before Getting into A Machine Learning Career">Gold Blog5 EBooks to Read Before Getting into A Machine Learning Career

    A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

    https://www.kdnuggets.com/2016/10/5-free-ebooks-machine-learning-career.html

  • Top 10 Data Science Videos on Youtube">Gold BlogTop 10 Data Science Videos on Youtube

    Learning and the future are the key topics in the recent Youtube videos on Data Science. The main questions revolve around: “how to become a Data Scientist”, “what is a data scientist”, and “where data science is going”. But why there is so little explanation of data science to the masses?

    https://www.kdnuggets.com/2016/10/top-10-data-science-videos-youtube.html

  • The R Graph Gallery Data Visualization Collection

    Welcome to the R graph gallery, a collection of R graph examples, organized by chart type, searchable by R function, with reproducible code and explanation.

    https://www.kdnuggets.com/2016/10/r-graph-gallery-data-visualization.html

  • Battle of the Data Science Venn Diagrams">Gold BlogBattle of the Data Science Venn Diagrams

    First came Drew Conway's data science Venn diagram. Then came all the rest. Read this comparative overview of data science Venn diagrams for both the insight into the profession and the humor that comes along for free.

    https://www.kdnuggets.com/2016/10/battle-data-science-venn-diagrams.html

  • Embedded Analytics: The Future of Business Intelligence

    An overview of the evolution of Business Intelligence, and some insight into where its future lie: embedded analytics.

    https://www.kdnuggets.com/2016/09/embedded-analytics-future-business-intelligence.html

  • Learning from Imbalanced Classes

    Imbalanced classes can cause trouble for classification. Not all hope is lost, however. Check out this article for methods in which to deal with such a situation.

    https://www.kdnuggets.com/2016/08/learning-from-imbalanced-classes.html

  • MDL Clustering: Unsupervised Attribute Ranking, Discretization, and Clustering

    MDL Clustering is a free software suite for unsupervised attribute ranking, discretization, and clustering based on the Minimum Description Length principle and built on the Weka Data Mining platform.

    https://www.kdnuggets.com/2016/08/mdl-clustering-unsupervised-attribute-ranking-discretization-clustering.html

  • How to Become a (Type A) Data Scientist">Gold BlogHow to Become a (Type A) Data Scientist

    This post outlines the difference between a Type A and Type B data scientist, and prescribes a learning path on becoming a Type A.

    https://www.kdnuggets.com/2016/08/become-type-a-data-scientist.html

  • How to Become a Data Scientist – Part 1">2016 Silver BlogHow to Become a Data Scientist – Part 1

    Check out this excellent (and exhaustive) article on becoming a data scientist, written by someone who spends their day recruiting data scientists. Do yourself a favor and read the whole way through. You won't regret it!

    https://www.kdnuggets.com/2016/08/become-data-scientist-part-1.html

  • Top Machine Learning Projects for Julia

    Julia is gaining traction as a legitimate alternative programming language for analytics tasks. Learn more about these 5 machine learning related projects.

    https://www.kdnuggets.com/2016/08/top-machine-learning-projects-julia.html

  • The 10 Algorithms Machine Learning Engineers Need to Know">2016 Gold BlogThe 10 Algorithms Machine Learning Engineers Need to Know

    Read this introductory list of contemporary machine learning algorithms of importance that every engineer should understand.

    https://www.kdnuggets.com/2016/08/10-algorithms-machine-learning-engineers.html

  • 7 Steps to Understanding Computer Vision

    A starting point for Computer Vision and how to get going deeper. Dive into this post for some overview of the right resources and a little bit of advice.

    https://www.kdnuggets.com/2016/08/seven-steps-understanding-computer-vision.html

  • How to Start Learning Deep Learning

    Want to get started learning deep learning? Sure you do! Check out this great overview, advice, and list of resources.

    https://www.kdnuggets.com/2016/07/start-learning-deep-learning.html

  • 5 Deep Learning Projects You Can No Longer Overlook

    There are a number of "mainstream" deep learning projects out there, but many more niche projects flying under the radar. Have a look at 5 such projects worth checking out.

    https://www.kdnuggets.com/2016/07/five-deep-learning-projects-cant-overlook.html

  • Gregory Piatetsky-Shapiro

    Gregory Piatetsky-Shapiro, Ph.D. is the Founder of KDnuggets, a leading site for Analytics, Big Data, Data Science, Data Mining, and Machine Learning. Gregory was a Read more »

    https://www.kdnuggets.com/gps.html

  • Top Machine Learning Libraries for Javascript

    Javascript may not be the conventional choice for machine learning, but there is no reason it cannot be used for such tasks. Here are the top libraries to facilitate machine learning in Javascript.

    https://www.kdnuggets.com/2016/06/top-machine-learning-libraries-javascript.html

  • History of Data Mining

    Data mining is a subfield of computer science which blends many techniques from statistics, data science, database theory and machine learning. Here are the major milestones and “firsts” in the history of data mining plus how it’s evolved and blended with data science and big data.

    https://www.kdnuggets.com/2016/06/rayli-history-data-mining.html

  • 7 Steps to Mastering SQL for Data Science

    Follow these 7 steps to go from SQL data science newbie to seasoned practitioner quickly. No nonsense, just the necessities.

    https://www.kdnuggets.com/2016/06/seven-steps-mastering-sql-data-science.html

  • Ethics in Machine Learning – Summary

    Still worried about the AI apocalypse? Here we are discussion about the constraints and ethics for the machine learning algorithms to prevent it.

    https://www.kdnuggets.com/2016/06/ethics-machine-learning-mlconf.html

  • Free eBook: Healthcare Social Media Analytics and Marketing

    Get your free copy of a new ebook outlining social media marketing and analytics strategies (including code) for healthcare professionals.

    https://www.kdnuggets.com/2016/05/healthcare-social-media-analytics-marketing-ebook.html

  • Let Me Hear Your Voice and I’ll Tell You How You Feel

    This post provides an overview of a voice tone analyzer implemented as part of a cohesive emotion detection system, directly from the researcher and architect.

    https://www.kdnuggets.com/2016/05/voice-tone-analysis-emotion-detection.html

  • Why Implement Machine Learning Algorithms From Scratch?

    Even with machine learning libraries covering almost any algorithm implementation you could imagine, there are often still good reasons to write your own. Read on to find out what these reasons are.

    https://www.kdnuggets.com/2016/05/implement-machine-learning-algorithms-scratch.html

  • How to Network and Build a Personal Brand in Data Science

    SpringBoard shares some ideas on how to network and build a data career, as taken from a new guide they have put together on the topic.

    https://www.kdnuggets.com/2016/05/how-network-build-personal-brand-data-science.html

  • Three Pitfalls to Avoid When Building Data Science Into Your Business

    An overview of pitfalls to avoid when building data science into your business, how to avoid them, and what to do instead.

    https://www.kdnuggets.com/2016/04/pitfalls-building-data-science-business.html

  • Top 10 IPython Notebook Tutorials for Data Science and Machine Learning

    A list of 10 useful Github repositories made up of IPython (Jupyter) notebooks, focused on teaching data science and machine learning. Python is the clear target here, but general principles are transferable.

    https://www.kdnuggets.com/2016/04/top-10-ipython-nb-tutorials.html

  • Top 15 Frameworks for Machine Learning Experts

    Either you are a researcher, start-up or big organization who wants to use machine learning, you will need the right tools to make it happen. Here is a list of the most popular frameworks for machine learning.

    https://www.kdnuggets.com/2016/04/top-15-frameworks-machine-learning-experts.html

  • Basics of GPU Computing for Data Scientists

    With the rise of neural network in data science, the demand for computationally extensive machines lead to GPUs. Learn how you can get started with GPUs & algorithms which could leverage them.

    https://www.kdnuggets.com/2016/04/basics-gpu-computing-data-scientists.html

  • 100 Active Blogs on Analytics, Big Data, Data Mining, Data Science, Machine Learning

    Stay on top of your data science skills game! Here’s a list of about 100 most active and interesting blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence.

    https://www.kdnuggets.com/2016/03/100-active-blogs-analytics-big-data-science-machine-learning.html

  • What Should Data Scientists Know About Psychology?

    Due to training in the scientific method, data management, statistics/data analysis, subject matter expertise, and communicating results into substantive knowledge psychology researchers must have a solid understanding of data science and vice-versa.

    https://www.kdnuggets.com/2016/03/data-scientists-know-about-psychology.html

  • Introducing GraphFrames, a Graph Processing Library for Apache Spark

    An overview of Spark's new GraphFrames, a graph processing library based on DataFrames, built in a collaboration between Databricks, UC Berkeley's AMPLab, and MIT.

    https://www.kdnuggets.com/2016/03/introducing-graphframes-apache-spark.html

  • Opening Up Deep Learning For Everyone

    Opening deep learning up to everyone is a noble goal. But is it achievable? Should non-programmers and even non-technical people be able to implement deep neural models?

    https://www.kdnuggets.com/2016/02/opening-deep-learning-everyone.html

  • How IBM Watson is Taking on The World

    We have made tremendous progress in the field of data analysis and on the other, our technology is getting smart. IBM has taken a solid stride in the direction of Artificial Intelligence by unveiling its supercomputer IBM Watson, learn what it can do, its adopters and what it holds for the future.

    https://www.kdnuggets.com/2016/02/dezyre-ibm-watson-taking-world.html

  • Top 10 Deep Learning Projects on Github

    The top 10 deep learning projects on Github include a number of libraries, frameworks, and education resources. Have a look at the tools others are using, and the resources they are learning from.

    https://www.kdnuggets.com/2016/01/top-10-deep-learning-github.html

  • Software development skills for data scientists

    Data science is not only about building the models and sharing insights, many times they have to collaborate in deploying models and sharing them with software developers, learn which things to keep in mind while doing so.

    https://www.kdnuggets.com/2015/12/software-development-skills-data-scientists.html

  • 50 Deep Learning Software Tools and Platforms, Updated

    We present the popular software & toolkit resources for Deep Learning, including Caffe, Cuda-convnet, Deeplearning4j, Pylearn2, Theano, and Torch. Explore the new list!

    https://www.kdnuggets.com/2015/12/deep-learning-tools.html

  • Big Data and Data Science for Security and Fraud Detection

    We review big data analytics tools and technologies that combine text mining, machine learning and network analysis for security threat prediction, detection and prevention at an early stage.

    https://www.kdnuggets.com/2015/12/big-data-science-security-fraud-detection.html

  • 7 Steps to Mastering Machine Learning With Python

    There are many Python machine learning resources freely available online. Where to begin? How to proceed? Go from zero to Python machine learning hero in 7 steps!

    https://www.kdnuggets.com/2015/11/seven-steps-machine-learning-python.html

  • 5 Best Machine Learning APIs for Data Science

    Machine Learning APIs make it easy for developers to develop predictive applications. Here we review 5 important Machine Learning APIs: IBM Watson, Microsoft Azure Machine Learning, Google Prediction API, Amazon Machine Learning API, and BigML.

    https://www.kdnuggets.com/2015/11/machine-learning-apis-data-science.html

  • How Data Science increased the profitability of the e-commerce industry?

    Data Science helps businesses provide a richer understanding of the customers by capturing and integrating the information on customers web behaviour, their life events, what led to the purchase of a product or service, how customers interact with different channels, and more.

    https://www.kdnuggets.com/2015/11/how-data-science-increased-profitability-e-commerce-industry.html

  • Amazon Top 20 Books in Data Mining

    These are the most popular data mining books on Amazon. As you look to increase your knowledge, is there something listed here that is missing from your collection?

    https://www.kdnuggets.com/2015/10/amazon-top-20-books-data-mining.html

  • The Best Advice From Quora on ‘How to Learn Machine Learning’

    Top machine learning writers on Quora give their advice on learning machine learning, including specific resources, quotes, and personal insights, along with some extra nuggets of information.

    https://www.kdnuggets.com/2015/10/learning-machine-learning-quora.html

  • Top /r/MachineLearning Posts, September: Implement a neural network from scratch in C++

    Neural network in C++ for beginners, Chinese character handwriting recognition beats humans, a handy machine learning algorithm cheat sheet, neural nets versus functional programming, and a neural nets paper repository.

    https://www.kdnuggets.com/2015/10/top-reddit-machine-learning-september.html

  • Crushed it! Landing a data science job

    Data scientist interviews depend on the company and the team, it might look like a software developer’s interview, or statistician’s interview. Here we collected some hot tips to pass along if you’re thinking about a move soon.

    https://www.kdnuggets.com/2015/10/erin-shellman-landing-data-science-job.html

  • Top 10 Quora Data Science Writers and Their Best Advice

    Top Quora data science writers give their advice on pursuing a career in the field, approaching interviews, and selecting appropriate technologies.

    https://www.kdnuggets.com/2015/09/top-data-science-writers-quora.html

  • Spark SQL for Real-Time Analytics

    Apache Spark is the hottest topic in Big Data. This tutorial discusses why Spark SQL is becoming the preferred method for Real Time Analytics and for next frontier, IoT (Internet of Things).

    https://www.kdnuggets.com/2015/09/spark-sql-real-time-analytics.html

  • How to become a Data Scientist for Free

    Here are the most required skills for a data scientist position based on ReSkill’s analyses of thousands of job posts and free resources to learn each skill.

    https://www.kdnuggets.com/2015/08/how-become-data-scientist-free.html

  • Emacs for Data Science

    Data science nowadays demands a polyglot developer and, choosing a correct code editor would definitely be a worthy investment. Here we provide, important features of Emacs and its advantages over other editors.

    https://www.kdnuggets.com/2015/07/emacs-data-science.html

  • Top 20 R packages by popularity

    Wondering which are the most popular R packages? Here's an analysis based on most downloaded R packages from Jan to May 2015 to identify the top trending packages in the R world!

    https://www.kdnuggets.com/2015/06/top-20-r-packages.html

  • Interview: Joseph Babcock, Netflix on Genie, Lipstick, and Other In-house Developed Tools

    We discuss role of analytics in content acquisition, data architecture at Netflix, organizational structure, and open-source tools from Netflix.

    https://www.kdnuggets.com/2015/06/interview-joseph-babcock-netflix-in-house-developed-tools.html

  • Top 30 Social Network Analysis and Visualization Tools

    We review major tools and packages for Social Network Analysis and visualization, which have wide applications including biology, finance, sociology, network theory, and many other domains.

    https://www.kdnuggets.com/2015/06/top-30-social-network-analysis-visualization-tools.html

  • R vs Python for Data Science: The Winner is …

    In the battle of "best" data science tools, python and R both have their pros and cons. Selecting one over the other will depend on the use-cases, the cost of learning, and other common tools required.

    https://www.kdnuggets.com/2015/05/r-vs-python-data-science.html

  • Exclusive Interview: Matei Zaharia, creator of Apache Spark, on Spark, Hadoop, Flink, and Big Data in 2020

    Apache Spark is one the hottest Big Data technologies in 2015. KDnuggets talks to Matei Zaharia, creator of Apache Spark, about key things to know about it, why it is not a replacement for Hadoop, how it is better than Flink, and vision for Big Data in 2020.

    https://www.kdnuggets.com/2015/05/interview-matei-zaharia-creator-apache-spark.html

  • I’ve Been Replaced by an Analytics Robot

    A veteran statistician reflects on the journey from a statistician of the past to data scientist of today, how the work he used to do became automated, and what future can data scientists can expect.

    https://www.kdnuggets.com/2015/05/replaced-by-analytics-robot.html

  • How To Become a Data Scientist And Get Hired

    A data scientist should be able to choose the right technology, understand the business context and solve a wide range of problems. To hire the the right data scientist, check the tips list in the post.

    https://www.kdnuggets.com/2015/05/datafloq-become-data-scientist-get-hired.html

  • Interview: Bill Moreau, USOC on Evidence-based Medicine to Reduce Sports Injuries

    We discuss the success of Analytics in predicting sports injuries, recent progress in concussion management and the trends in data-driven evidence-based sports medicine.

    https://www.kdnuggets.com/2015/03/interview-bill-moreau-usoc-sports-medicine.html

  • Interview: David Kasik, Boeing on Data Analysis vs Data Analytics

    We discuss the impact of increasing amount of data on visualization, difference between Data Analysis and Data Analytics, motivation, trends, desired skills and more.

    https://www.kdnuggets.com/2015/02/interview-david-kasik-boeing-data-analytics.html

  • Facebook Open Sources deep-learning modules for Torch

    We review Facebook recently released Torch module for Deep Learning, which helps researchers train large scale convolutional neural networks for image recognition, natural language processing and other AI applications.

    https://www.kdnuggets.com/2015/02/facebook-open-source-deep-learning-torch.html

  • Simple Data Science of Global Warming

    You don't have to be a climatologist to empirically confirm global warming. It is enough to have a computer, a reliable data set of historical temperatures, and software like R to do simple calculations.

    https://www.kdnuggets.com/2015/01/data-science-global-warming.html

  • Predictions: 2015 Analytics and Data Science Hiring Market

    Thanks to Big Data, analytics have become inescapable. Forget the C-Suite if you’re not a Data Geek, recruiting for startups gets harder, analytics salary bands get a lift, and more 2015 predictions.

    https://www.kdnuggets.com/2015/01/predictions-2015-analytics-data-science-hiring-market.html

  • Deep Learning in a Nutshell – what it is, how it works, why care?

    Deep learning and neural networks are increasingly important concepts in computer science with great strides being made by large companies like Google and startups like DeepMind.

    https://www.kdnuggets.com/2015/01/deep-learning-explanation-what-how-why.html

  • KDnuggets™ News 14:n34, Dec 17

    Features | Software | Opinions | Interviews | Reports | News | Webcasts | Jobs | Academic | Tweets | CFP | Quote Features New Read more »

    https://www.kdnuggets.com/2014/n34.html

  • KDnuggets™ News 14:n33, Dec 10

    Features | Software | Opinions | Interviews | News | Webcasts | Courses | Meetings | Jobs | Academic | Tweets | CFP | Quote Read more »

    https://www.kdnuggets.com/2014/n33.html

  • R and Hadoop make Machine Learning Possible for Everyone

    R and Hadoop make machine learning approachable enough for inexperienced users to begin analyzing and visualizing interesting data to start down the path in this lucrative field.

    https://www.kdnuggets.com/2014/11/r-hadoop-make-machine-learning-possible-everyone.html

  • KDnuggets™ News 14:n27, Oct 22

    Features | Software | Opinions | Interviews | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

    https://www.kdnuggets.com/2014/n27.html

  • KDnuggets™ News 14:n26, Oct 8

    Features | Software | Opinions | Interviews | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP Read more »

    https://www.kdnuggets.com/2014/n26.html

  • KDnuggets™ News 14:n25, Sep 24

    Features | Software | News | Opinions | Webcasts | Courses | Jobs | Academic | Publications | Tweets | CFP | Quote Features Data Read more »

    https://www.kdnuggets.com/2014/n25.html

  • Hiring Data Scientists: What to look for?

    Know key characteristics of what makes up a good data scientist based upon the three authors’ consulting and research experience, having collaborated with many companies world-wide on the topics of big data and analytics.

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

  • Do you need a Masters Degree to become a Data Scientist?

    Leading analytics experts answer the question: "Do you need a Masters Degree to become a Data Scientist?" Read practical tips and interesting commentary.

    https://www.kdnuggets.com/2014/06/masters-degree-become-data-scientist.html

  • KDnuggets™ News 14:n17, Jul 2

    Features (4) | Software (2) | Opinions (7) | News (6) | Webcasts (1) | Courses (1) | Meetings and Reports (2) | Jobs (4) Read more »

    https://www.kdnuggets.com/2014/n17.html

  • KDnuggets™ News 14:n16, Jun 25

    Features (5) | Software (1) | Opinions (2) | News (2) | Webcasts (1) | Courses (1) | Meetings and Reports (6) | Jobs (7) Read more »

    https://www.kdnuggets.com/2014/n16.html

  • The Algorithm that Runs the World Can Now Run More of It

    The most important algorithm, used for optimizing almost everything, is linear programming. New advances allow linear programming problems to be solved faster using the new commercial parallel simplex solver.

    https://www.kdnuggets.com/2014/06/fico-algorithm-that-runs-world.html

  • Top 10 Data Analysis Tools for Business

    Ten free, easy-to-use, and powerful tools to help you analyze and visualize data, analyze social networks, do optimization, search more efficiently, and solve your data analysis problems.

    https://www.kdnuggets.com/2014/06/top-10-data-analysis-tools-business.html

  • KDnuggets™ News 14:n15, Jun 18

    Features (6) | Software (3) | Opinions (6) | News (2) | Webcasts (1) | Courses (1) | Jobs (7) | Academic (1) | Publications Read more »

    https://www.kdnuggets.com/2014/n15.html

  • KDnuggets™ News 14:n11, May 7

    Features (7) | Opinions (5) | Software (1) | News (3) | Webcasts (4) | Meetings (2) | Jobs (6) | Publications (1) | Tweets Read more »

    https://www.kdnuggets.com/2014/n11.html

  • KDnuggets™ News 14:n08, Apr 3

    Features (4) | Opinions (4) | News (5) | Webcasts (3) | Meetings (1) | Jobs (4) | Publications (4) | Tweets (4) | CFP Read more »

    https://www.kdnuggets.com/2014/n08.html

  • KDnuggets™ News 14:n06, Mar 19

    Features (11) | News (3) | Software (6) | Webcasts (3) | Courses (5) | Competitions (3) | Meetings (6) | Jobs (3) | Academic Read more »

    https://www.kdnuggets.com/2014/n06.html

  • KDnuggets™ News 14:n05, Mar 5

    Features (10) | News (6) | Software (5) | Webcasts (1) | Courses (6) | Meetings (5) | Jobs (7) | Academic (1) | Publications Read more »

    https://www.kdnuggets.com/2014/n05.html

  • KDnuggets™ News 14:n04, Feb 19

    Features (7) | News (10) | Software (2) | Webcasts (2) | Courses (2) | Meetings (2) | Jobs (10) | Academic (4) | Publications Read more »

    https://www.kdnuggets.com/2014/n04.html

  • Split on Data Science Skills: Individual vs Team Approach

    The results of latest KDnuggets poll show an almost equal split between those who favor individual and those who favor the team approach. See the counterintuitive regional differences and interesting comments.

    https://www.kdnuggets.com/2014/01/split-on-data-science-skills-individual-vs-team-approach.html

  • 2013 Dec Publications: Analytics, Big Data, Data Mining and Data Science

    All (95) | News, Software (27) | Courses, Events (12) | Jobs | Academic | Publications (38) Unicorn Data Scientists vs Data Science Teams - Read more »

    https://www.kdnuggets.com/2013/12/publications.html

  • 2013 Dec: Analytics, Big Data, Data Mining and Data Science News

    All (95) | News, Software (27) | Courses, Events (12) | Jobs | Academic | Publications (38) Unicorn Data Scientists vs Data Science Teams - Read more »

    https://www.kdnuggets.com/2013/12/index.html

  • Data Visualization Software

    Visualization sites | commercial software | free software Data360, a site where you can find, present and share data; created to provide clear context on Read more »

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

  • Statistics Software

    commercial | free Analyse-it!, accurate low-cost statistical software for Microsoft Excel. Appricon's Analysis Studio, a statistical analysis and modeling software with advanced logistic regression modeling, Read more »

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

  • Bayesian and Causal Software

    Overview pages | commercial | free Kevin Murphy's Bayesian Network Software Packages page Google's list of Bayes net software. commercial: AgenaRisk, visual tool, combining Bayesian Read more »

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

  • Bioinformatics Companies

    A B C D E F G H IJ K L M N O P Q R S T U V W XYZ A2IDEA is Read more »

    https://www.kdnuggets.com/companies/bioinformatics.html

  • KDnuggets™ News 13:n31, Dec 19

    Features (8) | Software (3) | Webcasts (2) | Courses, Events (1) | Meetings (1) | Jobs (8) | Academic (1) | Competitions (1) | Publications Read more »

    https://www.kdnuggets.com/2013/n31.html

  • Bioinformatics Solutions

    A B C D E F G H I J K L M N O P Q R S T U V W XYZ ADMEWORKS Read more »

    https://www.kdnuggets.com/solutions/bioinformatics.html

  • KDnuggets™ News 13:n19, Aug 7

    Features (9) | Software (5) | Webcasts (3) | Courses, Events (1) | Meetings (3) | Jobs (3) | Academic (1) | Competitions (3) | Publications Read more »

    https://www.kdnuggets.com/2013/n19.html

  • Data Mining / Analytic News, Aug 2013

    News, Software (33) | Courses, Events (28) | Jobs | Academic | Publications (31) Top Languages for analytics, data mining, data science - Aug 27, Read more »

    https://www.kdnuggets.com/2013/08/index.html

  • KDnuggets™ News 13:n17, July 17

    Features (10) | Software (2) | Webcasts (3) | Courses, Events (3) | Meetings (4) | Jobs (4) | Academic (4) | Competitions (1) | Publications Read more »

    https://www.kdnuggets.com/2013/n17.html

  • KDnuggets™ News 13:n16, Jul 3

    Features (7) | Software (1) | Webcasts (1) | Courses, Events (2) | Meetings (2) | Jobs (13) | Academic (1) | Publications (4) | Tweets Read more »

    https://www.kdnuggets.com/2013/n16.html

  • KDnuggets™ News 13:n14, Jun 5

    Features(7) | Software(5) | Webcasts(2) | Courses, Events(2) | Meetings(2) | Jobs(10) | Academic(4) | Competitions(2) | Publications(3) | Tweets(6) | NewsBriefs(1) | CFP(8) | Quote Read more »

    https://www.kdnuggets.com/2013/n14.html

  • Business Intelligence (BI), Analytics, Database and OLAP Software

    BI2M, OLAP and Data Mining, stand alone or with Microsoft Analysis services. Black Box BI, offering analytics, dashboards, and visualizations via the cloud. Business Intelligence Read more »

    https://www.kdnuggets.com/software/bi-db-olap.html

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

    commercial | free/open source A B C D E F G H I J K L M N O PQ R S T U V Read more »

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