Search results for "Computational Analytics"

348 documents found out of 7186 total.

• The Qualitative Side of Quantitative Research

  Kevin and Koen may buy the same brand for the same reasons. On the other hand, they may buy the same brand for different reasons, or buy different brands for the same reasons, or even different brands for different reasons. The brands they purchase and the reasons why may vary by occasion, too.

  https://www.kdnuggets.com/2017/11/qualitative-side-quantitative-research.html

• Want to Become a Data Scientist? Read This Interview First">Want to Become a Data Scientist? Read This Interview First

  There’s been a lot of hype about Data Science... and probably just as much confusion about it.
   
   

  https://www.kdnuggets.com/2017/10/become-data-scientist-read-interview-first.html

• Top 15 Master of Data Science Programs You May Want To Consider

  Top MS of Data Science Programs in the US - on-campus and online that teach you how to humanize data and what you can do to make a difference in your company.

  https://www.kdnuggets.com/2017/10/top-15-master-data-science-programs.html

• New-Age Machine Learning Algorithms in Retail Lending">New-Age Machine Learning Algorithms in Retail Lending

  We review the application of new age Machine Learning algorithms for better Customer Analytics in Lending and Credit Risk Assessment.

  https://www.kdnuggets.com/2017/09/machine-learning-algorithms-lending.html

• Python overtakes R, becomes the leader in Data Science, Machine Learning platforms">Python overtakes R, becomes the leader in Data Science, Machine Learning platforms

  While Python did not "swallow" R, in 2017 Python ecosystem overtook R as the leading platform for Analytics, Data Science, and Machine Learning and is pulling users from other platforms.

  https://www.kdnuggets.com/2017/08/python-overtakes-r-leader-analytics-data-science.html

• Machine Learning vs. Statistics: The Texas Death Match of Data Science">Machine Learning vs. Statistics: The Texas Death Match of Data Science

  Throughout its history, Machine Learning (ML) has coexisted with Statistics uneasily, like an ex-boyfriend accidentally seated with the groom’s family at a wedding reception: both uncertain where to lead the conversation, but painfully aware of the potential for awkwardness.

  https://www.kdnuggets.com/2017/08/machine-learning-vs-statistics.html

• Which Machine Learning Algorithm Should I Use?">Which Machine Learning Algorithm Should I Use?

  A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is "which algorithm should I use?” The answer to the question varies depending on many factors, including the size, quality, and nature of data, the available computational time, and more.

  https://www.kdnuggets.com/2017/06/which-machine-learning-algorithm.html

• The Internet of Things in the Cloud

  Cloud computing is the next evolutionary step in Internet-based computing, which provides the means for delivering ICT resources as a service. Internet-of-Things can benefit from the scalability, performance and pay-as-you-go nature of cloud computing infrastructures.

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

• Building, Training, and Improving on Existing Recurrent Neural Networks

  In this post, we’ll provide a short tutorial for training a RNN for speech recognition, including code snippets throughout.

  https://www.kdnuggets.com/2017/05/building-training-improving-existing-recurrent-neural-networks.html

• Deep Learning – Past, Present, and Future">Deep Learning – Past, Present, and Future

  There is a lot of buzz around deep learning technology. First developed in the 1940s, deep learning was meant to simulate neural networks found in brains, but in the last decade 3 key developments have unleashed its potential.

  https://www.kdnuggets.com/2017/05/deep-learning-big-deal.html

• What is Structural Equation Modeling?">What is Structural Equation Modeling?

  Structural Equation Modeling (SEM) is an extremely broad and flexible framework for data analysis, perhaps better thought of as a family of related methods rather than as a single technique. What is its relevance to Marketing Research?

  https://www.kdnuggets.com/2017/03/structural-equation-modeling.html

• What Top Firms Ask: 100+ Data Science Interview Questions

  Check this out: A topic wise collection of 100+ data science interview questions from top companies.

  https://www.kdnuggets.com/2017/03/top-firms-100-data-science-interview-questions.html

• Academic, Research Positions in Big Data, Data Mining, Data Science, Machine Learning

    To add here a short entry for an academic or research position related to AI, Big Data, Data Science, or Machine Learning, email 5 Read more »

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

• The big data ecosystem for science: Climate Science and Climate Change

  Climate change is one of the most pressing challenges for human society in the 21st century. We review the Big Data ecosystem for studying the climate change.

  https://www.kdnuggets.com/2016/12/big-data-ecosystem-science-climate-change.html

• Artificial Intelligence and Life in 2030

  Read this engaging overview of a report from the Stanford University 100 year study of Artificial Intelligence, “a long-term investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society.”

  https://www.kdnuggets.com/2016/12/artificial-intelligence-life-2030.html

• Deep Learning Reading Group: Skip-Thought Vectors

  Skip-thought vectors take inspiration from Word2Vec skip-gram and attempt to extend it to sentences, and are created using an encoder-decoder model. Read on for an overview of the paper.

  https://www.kdnuggets.com/2016/11/deep-learning-group-skip-thought-vectors.html

• Data Science and Big Data, Explained">Data Science and Big Data, Explained

  This article is meant to give the non-data scientist a solid overview of the many concepts and terms behind data science and big data. While related terms will be mentioned at a very high level, the reader is encouraged to explore the references and other resources for additional detail.

  https://www.kdnuggets.com/2016/11/big-data-data-science-explained.html

• Battle of the Data Science Venn Diagrams">Battle 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

• Introducing Dask for Parallel Programming: An Interview with Project Lead Developer

  Introducing Dask, a flexible parallel computing library for analytics. Learn more about this project built with interactive data science in mind in an interview with its lead developer.

  https://www.kdnuggets.com/2016/09/introducing-dask-parallel-programming.html

• A Neat Trick to Increase Robustness of Regression Models

  Read this take on the validity of choosing a different approach to regression modeling. Why isn't L1 norm used more often?

  https://www.kdnuggets.com/2016/08/neat-trick-increase-robustness-regression-models.html

• Contest 2nd Place: Automated Data Science and Machine Learning in Digital Advertising

  This post is an overview of an automated machine learning system in the digital advertising realm. It is an entrant and second-place recipient in the recent KDnuggets blog contest.

  https://www.kdnuggets.com/2016/08/automated-data-science-digital-advertising.html

• Statistical Data Analysis in Python

  This tutorial will introduce the use of Python for statistical data analysis, using data stored as Pandas DataFrame objects, taking the form of a set of IPython notebooks.

  https://www.kdnuggets.com/2016/07/statistical-data-analysis-python.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

• Meet the 11 Big Data & Data Science Leaders on LinkedIn

  In this post, we present a list of popular data science leaders on LinkedIn. Follow these leaders who will keep you in touch with the latest Data Science happenings!

  https://www.kdnuggets.com/2016/05/10-big-data-data-science-leaders-linkedin.html

• 12 Inspiring Women In Data Science, Big Data

  It’s been well documented that women don’t come close to parity in STEM fields with their counterparts. Could the rise of big data and data science offer women a clearer path to success in technology? Here’s a list of 12 inspiring women who work in big data and data

  https://www.kdnuggets.com/2016/04/12-inspiring-women-in-data-science-big-data.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

• 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

• Top New Features in Orange 3 Data Mining Platform

  The main technical advantage of Orange 3 is its integration with NumPy and SciPy libraries. Other improvements include reading online data, working through queries for SQL and pre-processing.

  https://www.kdnuggets.com/2015/12/top-7-new-features-orange-3.html

• Using Python and R together: 3 main approaches

  Well if Data Science and Data Scientists can not decide on what data to choose to help them decide which language to use, here is an article to use BOTH.

  https://www.kdnuggets.com/2015/12/using-python-r-together.html

• Deep Learning Transcends the Bag of Words

  Generative RNNs are now widely popular, many modeling text at the character level and typically using unsupervised approach. Here we show how to generate contextually relevant sentences and explain recent work that does it successfully.

  https://www.kdnuggets.com/2015/12/deep-learning-outgrows-bag-words-recurrent-neural-networks.html

• Spark + Deep Learning: Distributed Deep Neural Network Training with SparkNet

  Training deep neural nets can take precious time and resources. By leveraging an existing distributed batch processing framework, SparkNet can train neural nets quickly and efficiently.

  https://www.kdnuggets.com/2015/12/spark-deep-learning-training-with-sparknet.html

• Topological Data Analysis – Open Source Implementations

  Topological Data Analysis (TDA) is making waves in the analytics community lately, but are there open source options available?

  https://www.kdnuggets.com/2015/11/topological-data-analysis-open-source-implementations.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

• A Great way to learn Data Science by simply doing it

  There are tons of great online resources out there we can pick up and learn them to become a master in data science. Here is a comprehensive list of data science course providers along with links to the data science courses.

  https://www.kdnuggets.com/2015/09/learn-data-science-by-doing.html

• Data Science Data Architecture

  Data scientists are kind of a rare breed, who juggles between data science, business and IT. But, they do understand less IT than an IT person and understands less business than a business person. Which demands a specific workflow and data architecture.

  https://www.kdnuggets.com/2015/09/data-science-data-architecture.html

• Three Essential Components of a Successful Data Science Team

  A Data Science team, carefully constructed with the right set of dedicated professionals, can prove to be an asset to any organization,

  https://www.kdnuggets.com/2015/08/3-components-successful-data-science-team.html

• Using Ensembles in Kaggle Data Science Competitions- Part 3

  Earlier, we showed how to create stacked ensembles with stacked generalization and out-of-fold predictions. Now we'll learn how to implement various stacking techniques.

  https://www.kdnuggets.com/2015/06/ensembles-kaggle-data-science-competition-p3.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

• Interview: Joseph Babcock, Netflix on Discovery and Personalization from Big Data

  We discuss the steps involved in Discovery process at Netflix, impact due to multitude of devices, system generated logs, and surprising insights.

  https://www.kdnuggets.com/2015/06/interview-joseph-babcock-netflix-discovery-personalization.html

• Insights from Data Science Handbook

  Here you can find perspective of lead data scientists on the definitions ranging from data science, metrics selection while solving a problem, work ethics, the art of storytelling and why data science is important in todays world.

  https://www.kdnuggets.com/2015/05/insights-from-data-science-handbook.html

• KDnuggets™ News 15:n17, May 27: R wins Annual Poll; Top 10 Algorithms; Interview with Spark Creator

  R leads RapidMiner, Python catches up - Annual Software Poll; Top 10 Data Mining Algorithms; Exclusive Interview: Matei Zaharia, creator of Apache Spark; 5 Not-to-be-Missed Ideas about Big Data.

  https://www.kdnuggets.com/2015/n17.html

• Seven Techniques for Data Dimensionality Reduction

  Performing data mining with high dimensional data sets. Comparative study of different feature selection techniques like Missing Values Ratio, Low Variance Filter, PCA, Random Forests / Ensemble Trees etc.

  https://www.kdnuggets.com/2015/05/7-methods-data-dimensionality-reduction.html

• Awesome Public Datasets on GitHub

  A long, categorized list of large datasets (available for public use) to try your analytics skills on. Which one would you pick?

  https://www.kdnuggets.com/2015/04/awesome-public-datasets-github.html

• Automatic Statistician and the Profoundly Desired Automation for Data Science

  The Automatic Statistician project by Univ. of Cambridge and MIT is pushing ahead the frontiers of automation for the selection and evaluation of machine learning models. In general, what does automation mean to Data Science?

  https://www.kdnuggets.com/2015/02/automated-statistician-data-science.html

• 10 things statistics taught us about big data analysis

  There are 10 ideas in applied statistics are relevant for big data analysis, focusing on prediction accuracy, interactive analysis and more.

  https://www.kdnuggets.com/2015/02/10-things-statistics-big-data-analysis.html

• Exclusive: Interview with Chris Wiggins, NYTimes Chief Data Scientist

  New York Times Chief Data Scientist Chris Wiggins on the transformation of digital journalism, key Data Science skills, favorite tools, why better wrong than nice, and how Thomas Jefferson is very relevant today.

  https://www.kdnuggets.com/2015/01/exclusive-interview-chris-wiggins-nytimes-chief-data-scientist.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:n30, Nov 19

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

  https://www.kdnuggets.com/2014/n30.html

• ADW, free software to measure semantic similarity

  ADW is a software for measuring semantic similarity of arbitrary pairs of lexical items, from word senses to texts, based on "Align, Disambiguate, and Walk", a WordNet-based state-of-the-art semantic similarity approach. Get it on github.

  https://www.kdnuggets.com/2014/10/adw-free-software-measure-semantic-similarity.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

• Most Viewed Web Mining Lectures

  Discover interesting lectures on topics like mining information networks and identifying influential members of online communities in this list of the top viewed web mining lectures on videolectures.net.

  https://www.kdnuggets.com/2014/09/most-viewed-web-mining-lectures-videolectures.html

• Interview: Michael Berthold, President and Founder of KNIME, on Data Mining, Startups, and Visual Workflow

  We discuss KNIME key features and how it compares to competition, KNIME business model, Pharma, planned development, and transition from an academic project to a company.

  https://www.kdnuggets.com/2014/08/interview-michael-berthold-knime-data-mining-startup-visual-workflow-part1.html

• KDnuggets™ News 14:n19, Jul 30

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

  https://www.kdnuggets.com/2014/n19.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

• NYU Data Science Program – Things to Know

  Inside summary of NYU Data Science program launched last year, what it is, and what makes it special.

  https://www.kdnuggets.com/2014/06/nyu-data-science-program-overview.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

• Interview: Kirk Borne, Data Scientist, GMU on Big Data in Astrophysics and Correlation vs. Causality

  We discuss how to build the best data models, significance of correlation and causality in Predictive Analytics, and impact of Big Data on Astrophysics.

  https://www.kdnuggets.com/2014/05/interview-kirk-borne-big-data-astrophysics-correlation-causality.html

• KDnuggets™ News 14:n14, Jun 10

  Features (8) | Software (3) | Opinions (14) | News (6) | Webcasts (3) | Courses (1) | Meetings and Reports (9) | Jobs (6) Read more »

  https://www.kdnuggets.com/2014/n14.html

• KDnuggets™ News 14:n10, Apr 30

  Features (9) | Opinions (5) | Software (3) | News (6) | Webcasts (1) | Courses (3) | Meetings (4) | Jobs (10) | Academic Read more »

  https://www.kdnuggets.com/2014/n10.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 Exclusive: Interview with Yann LeCun, Deep Learning Expert, Director of Facebook AI Lab

  We discuss what enabled Deep Learning to achieve remarkable successes recently, his argument with Vapnik about (deep) neural nets vs kernel (support vector) machines, and what kind of AI can we expect from Facebook.

  https://www.kdnuggets.com/2014/02/exclusive-yann-lecun-deep-learning-facebook-ai-lab.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

• KDnuggets™ News 14:n02, Jan 22

  Features (10) | Software (3) | Webcasts (2) | Courses, Events (5) | Meetings (3) | Jobs (11) | Academic (3) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2014/n02.html

• Libraries and Development Kits for Data Mining

  commercial: | free and open-source AC2 (from Isoft), a set of libraries for building data mining solutions on the server side. Analytics1305 Machine Learning Library, Read more »

  https://www.kdnuggets.com/software/libraries.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

• KDnuggets™ News 13:n30, Dec 11

  Features (12) | Software (2) | Webcasts (1) | Courses, Events (5) | Meetings (1) | Jobs (5) | Academic (1) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n30.html

• KDnuggets™ News 13:n28, Nov 20

  Features (7) | Software (1) | Webcasts (1) | Jobs (6) | Academic (2) | Competitions (2) | Publications (5) | Tweets (3) | NewsBriefs Read more »

  https://www.kdnuggets.com/2013/n28.html

• KDnuggets™ News 13:n26, Oct 30

  Features (8) | Software (2) | Webcasts (2) | Courses, Events (3) | Meetings (3) | Jobs (6) | Academic (2) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n26.html

• KDnuggets™ News 13:n25, Oct 16

  Features (8) | Software (1) | Webcasts (2) | Courses, Events (2) | Meetings (1) | Jobs (2) | Competitions (2) | Publications (4) | Tweets Read more »

  https://www.kdnuggets.com/2013/n25.html

• KDnuggets™ News 13:n22, Sep 10

  Features (12) | Software (2) | Webcasts (4) | Courses, Events (3) | Meetings (2) | Jobs (4) | Academic (4) | Competitions (3) | Publications Read more »

  https://www.kdnuggets.com/2013/n22.html

• KDnuggets™ News 13:n21, Aug 28

  Features (9) | Software (1) | Webcasts (2) | Courses, Events (3) | Meetings (4) | Jobs (5) | Academic (3) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n21.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

• KDnuggets™ News 13:n18, Jul 31

  Features (8) | Software (4) | Webcasts (2) | Courses, Events (5) | Meetings (1) | Jobs (14) | Academic (2) | Competitions (2) | Publications Read more »

  https://www.kdnuggets.com/2013/n18.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:n15, Jun 19

  Features (8) | Software (5) | Webcasts (3) | Courses, Events (3) | Meetings (1) | Jobs (8) | Academic (2) | Competitions (3) | Publications Read more »

  https://www.kdnuggets.com/2013/n15.html

• Software for Classification using multiple approaches

  commercial: | free 11Ants Model Builder, upgrades Microsoft Excel into a powerful, simple to use data mining / predictive analytics tool, with regression, classification and Read more »

  https://www.kdnuggets.com/software/classification-multi.html

• KDnuggets™ News 13:n12, May 8

  Features (9) | Software (4) | Webcasts (3) | Courses, Events (1) | Meetings (3) | Jobs (9) | Academic (3) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n12.html

• KDnuggets™ News 13:n11, Apr 24

  Features (8) | Software (1) | Webcasts (2) | Courses, Events (3) | Meetings (3) | Jobs (4) | Competitions (1) | Tweets (3) | NewsBriefs Read more »

  https://www.kdnuggets.com/2013/n11.html

• KDnuggets™ News 13:n08, Mar 27

  Features (9) | Software (5) | Webcasts (1) | Courses, Events (2) | Meetings (1) | Jobs (6) | Academic (4) | Competitions (3) | Publications Read more »

  https://www.kdnuggets.com/2013/n08.html

• KDnuggets™ News 13:n06, Mar 7

  Features (7) | Software (1) | Webcasts (2) | Courses, Events (2) | Meetings (2) | Jobs (5) | Academic (2) | Competitions (3) | Publications Read more »

  https://www.kdnuggets.com/2013/n06.html

• KDnuggets™ News 13:n04, Feb 20

  Features (6) | Software (5) | Courses, Events (2) | Jobs (2) | Academic (1) | Publications (3) | Tweets (2) | NewsBriefs (3) | CFP Read more »

  https://www.kdnuggets.com/2013/n04.html

• Data Mining / Analytic Software News, Feb 2013

  Features (12) | Software (13) | Courses, Events (22) | Jobs | Academic | Competitions (5) | Publications (26) | News Briefs (8) YPS: Yottamine Predictive Read more »

  https://www.kdnuggets.com/2013/02/software-news.html

• KDnuggets™ News 13:n03, Feb 13

  Features (9) | Software (6) | Webcasts (2) | Courses, Events (3) | Jobs (6) | Meetings (5) | Academic (1) | Competitions (4) | Publications Read more »

  https://www.kdnuggets.com/2013/n03.html

• KDnuggets™ News 13:n02, Jan 30

  Features (10) | Software (4) | Courses, Events (2) | Webcasts (3) | Jobs (12) | Academic (5) | Competitions (4) | Publications (12) | NewsBriefs Read more »

  https://www.kdnuggets.com/2013/n02.html