KDnuggets, a media sponsor of a 2014 text-analytics market study conducted by leading industry analyst Seth Grimes, invites all text analytics users to take part in this survey. Please respond by Feb 21.

Visual.ly Data Visualization Catalog help you choose the right visualization; 100 numpy exercises, from Novice to Expert Data Scientists; R vs Python Duel, Contest 1A - download, process 2GB census data; Online course: More Data Mining with Weka

This summit is a great place for CTOs, CMOs, Engineers, Developers, Data Scientists, and others to network and learn about open source technologies and big data analytics.

This contest will focus on the important problem of map generalization, a commonly used concept in creating maps of different scales.

This online course teaches both principles and practical data mining techniques, lets students work on very big datasets, classify text, experiment with clustering, and much more.

Every decision maker in the organization needs to be capable of analyzing data, but most tools require a lot of mundane and time-consuming data cleaning. Statwing solves that problem and lets you focus on data analysis.

With the value of Consumer Insights being questioned to justify ROI, the Market Research professionals need to figure out ways to quantify the value of those insights. Determining the value of insights is no easy task and requires focus on three key components.

IE in Madrid, one of the top Business Schools in the world, designed the 10-months Master in Business Analytics and Big Data degree for people who studied or are working in technology, do quantitative work in engineering, statistics or business.

Understand the business value in "human data" - emotion, intent, connection - in online, social, and enterprise sources via text, speech, video and social-network analytics. Early bird till Jan 31 + KDnuggets discount.

This series shows how to easily apply SPM software suite to your predictive modeling projects, using a modern banking application as an example. This series is at the beginner level, and is perfect for first-time users or for those who need a refresher course in model building and data analysis.

Dilbert takes on #BigData Analysis and Salaries of Top Performers. Hilarious! ; Free Tutorial - Data Analytics for Beginners: Part 1 - Installing R and RStudio; Part 2: Data Cleaning; A New Science of Cities emerges from Mobile Phone Data Analysis.

The Big Data hype is everywhere, but many CIOs aren’t sure how to take their first steps toward adopting Big Data. Here are 10 New Year’s resolutions for CIOs who want to take the Big Data plunge in 2014.

Our survey ahead of Strata 2014 Conference revealed the top 3 trends in Analytics and Big Data for 2014: Analytics for the masses, Apache Spark, and Real Time Analytics. Read the interesting comments and details and get a KDnuggets discount for Strata.

The five-part on-demand series shows how to build better and more useful models with modern predictive modeling techniques such as regression, neural networks and decision trees.

Hardcore analytics (and Big Data) can add value, but only marginally and only for companies that have already mastered using the data they already have. The ‘obvious’ information from your own data can get you 90%+ of the total impact, so start there. The hard part is executing the basic insights across the organization.

Great map of #DataScience skills (Biz, ML, #BigData, Coding, Stats) vs Roles ; Online Courses in Predictive Analytics, Machine Learning, Data Science; Top #BigData Trend in 2014: Big Data as a Service; Opinion: Why your company should NOT use Big Data.

The growth reflects strong sales of SAS Visual Analytics, anti-fraud solutions (44%), cloud computing (20%), data management and certain industry-specific applications (16-18%). For every one of its 38 years, SAS has grown revenue and shown a profit.

Tutorial: Data Science in Python; Learning from Data: Caltech free online course; MassBigData to boost Massachusetts Big Data, Analytics Ecosystem; Split on Data Science Skills: Individual vs Team approach.

Could data mining techniques accurately predict the medal counts at the Olympics? A predictive model could give us an estimate of the number of medals each nation might win; but how close could we get to the actual outcomes? It was a tantalizing project ...

Many interesting online courses covering Decision Trees, Machine Learning Tools, Python for Analytics, Social Network Analysis, Hadoop, Forecasting, Data Visualization, and more, from Statistics.com.

New KDnuggets cartoon looks at Watson and compares Artificial and Natural Thinking.

A somewhat random but useful review of 30+ Free Data Mining Software tools; Linkurious: a solution to explore and visualize graph data; The Data Scientist Toolbox, starts on Coursera Apr 7

Why do Big Data projects fail to deliver the promised value, that too despite the “clearly” established potential? What should business managers do to avoid the media hype and focus on achieving sustainable benefits from big data investments?

What if Shakespeare was a data scientist? Today's big data necessitates - Let the data define the model.

The book covers realtime analytics and its application to recommendation engines from a control-theoretic perspective.

Taught by top Stanford professors and leading statisticians Trevor Hastie and Robert Tibshirani, this course presents 10 hot ideas for learning from data, and gives a detailed overview of statistical models for data mining, inference and prediction.

Build in-demand skills for the growing analytics field, prepare for leadership opportunities, and learn from distinguished faculty and industry experts.

Linkurious is designed to handle big data and be easy to use; it is focused on local exploration - search any information within a graph and start exploring the connections from this point.

Clustify updates the predicted relevance scores for the entire document population each time a document is categorized, showing the impact on the progress pie and the precision-recall curve instantly.

Data scientists who master open source tools R, Python, Hadoop earn more; JHU offers 9-Course #DataScience Specialization via Coursera; The Life of a Data Scientist, Relentless, but in a Lazy Way; MADlib, a solution for #BigData Analytics

Split on Data Science - Team vs Individual Approach, Data Science in Python - free tutorial, PASS Free Online Business Analytics Training - Feb 5, Confessions of a Dataholic, and more analytics/data mining news.

Join Analytically Speaking webcasts - conversations with thought leaders, and learn more about Voice of the customer research, data visualization reporting, behavioral economics, iterative innovation, and more.

Akamai is growing fast and so is the volume of data we manage - if you love analyzing and extracting meaningful insight from big data, and see it applied, this opportunity is for you.

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.

This online program enables graduates to use advanced data analytics to drive continuous improvement resulting in organizational sustainability, and lets you earn credit for professional certifications/expertise.

MassBigData has a wealth of information, including publicly available Mass data sets, local #BigData events, regional jobs (over 2300 currently), a map of MassBigData companies, resources, and much more.

MassBigData has a wealth of information, including publicly available Mass data sets, local #BigData events, regional jobs (over 2300 currently), a map of MassBigData companies, resources, and much more.

Learning from Data: Caltech free online course, now with captions in 40 languages; Data scientist most used tools: SQL (71%), R #rstats (43%), Python (41%), Excel (36%); 13 Machine Learning and Data Mining Books for Data Scientists; The Power of Bubble Charts to display data in 4 dimensions

The O'Reilly Strata Conference brings together the brightest minds in data science and big data, decision makers and practitioners - win a free KDnuggets 2-day pass.

PAW Toronto is the only conference in Canada that offers an unparalleled perspective on analytics where both technical and business knowledge are integrated towards solving real-life business problems.

Free, introductory Machine Learning online course, taught by a top-rated Caltech professor Yaser Abu-Mostafa, now with professional captioning in more than 40 languages.

DataSift is among hottest big data platform companies in the world, on the cutting edge of how social data can be leveraged to unlock massive value for enterprises, brands and agencies.

Teach courses in business analytics and the strategic use of information technology, with application to diverse business fields such as customer analytics, business intelligence, and talent management.

Tutorial: Data Science in Python; Data Science Venn Diagram v2.0; Interpreting Model Performance with Cost Functions

The Society of Data Miners is an independent non-profit organisation which aims to increase the benefits of data mining to society, and to advance the profession of data mining. Come to the first open meeting, London, Feb 11.

The fellows will have an excellent opportunity to cooperate with internationally recognized scientists at ICS and participate in cutting edge technology projects in the interest of AVAST, maker of the most trusted antivirus in the world.

Apple Data Mining Lab looks for an outstanding data scientist to design, develop, and field data mining and data science solutions with measurable impact.

KDD 2014, the leading research conference in the field, will bring together researchers and practitioners from all aspects of data mining, knowledge discovery, and large-scale data analytics. This year special theme is Data Mining for Social Good. Abstracts due Feb 13.

3X is an open-source software tool to ease the burden of conducting computational experiments and managing data analytics, providing a standard yet configurable structure to execute a wide variety of experiments in a systematic way.

Feedzai is a startup with offices in Portugal and Silicon Valley working in online fraud prevention and digital payments, looking for Machine Learning Research Engineers and Data Scientists.

Data Science for Social Good 2014 Summer Fellowship at the U. of Chicago is looking for students, mentors, and project partners. Fellows apply by Feb 1.

Here is how to call Python from R; Data Scientist Salary Survey: median salary in US is $117,500; Yann LeCun, Head of Facebook new AI Lab: we are limited only by how many smart people we can find.

The data mining team researches data mining and large-scale machine learning algorithms and systems which impact Bosch products and services in Predictive Maintenance, Health Informatics, Vehicle Diagnostics, Manufacturing, Large-Scale Simulations, and other areas.

Serves as the point of a contact for statistical analysis and method trending, part of the Commercial Analytics group, supporting our global biologics QC network.

NIST is forming a cross-cutting data science program, focused on system benchmarking and rigorous measurement. Register for NIST Data Science Symposium by Feb 21.

FirstFuel uses energy intelligence software to help Utilities engage their commercial customers and rapidly achieve energy efficiency across commercial building portfolios.

My name is Bruce Ratner, and I am a dataholic. I am also an artist and poet in the world of statistical data. I always await getting my hands on a new dataset to crack open and paint the untapped, unsoiled numbers into analytic scenes and swirling equations.

Join live webcasts by some of the most knowledgeable and top-rated speakers, covering Advanced Analytics in Excel, End-to-End Power BI, Big Data, Data Visualization, and more. Tune in on Feb 5, 2014.

Join tech people from around the world in the largest collaborative science and technology forecasting effort, ever, to make real-time predictions on future innovations and significant events in science and technology.

Develop and apply machine learning, data mining, or other computational approaches to extract insights from large agronomic data sets. Identify and demonstrate novel ways machine learning approaches can improve decisions.

Data Science in Python Tutorial, free tutorial; How Netflix Got Analytics Wrong, Then Right; Cartoon: Lets solve this problem by using #BigData none of us have any idea what to do with ; "Data Scientist" fever in Japan is gone

Take part in one of 3 tasks: Plagiarism Detection - given a document, is it an original? Author Identification - given a document, who wrote it? Author Profiling - given a document, what is author age / gender?

This Data Science in Python tutorial covers importing data, scikit-learn basics, aggregation and grouping, feature engineering, model evaluation, and deployment.

This free online course intends to explore Machine Learning, Big Data Architecture, Analytics, Evidence-Oriented Systems Engineering that empowers a well-rounded education, mentorship from experts along with practical skills and techniques. Course starts Jan 19.

Cost functions are critical for the correct assessment of performance of data mining and predictive models. This series goes deep into the statistical properties and mathematical understanding of each cost function and explores their similarities and differences.

Is there a connection between Analytics, Mathematics and arts? How do we add arts flavor to analytics business is the question. And answer lies in century old painting by Van Gogh called "The Starry Night" which represents perfect turbulence.

Data Science Venn Diagram v2.0 - how to find "unicorn" data scientist ; Reference Texts on Data Mining and Machine Learning; Top 10 Job titles that didnt exist 5 yrs ago: 6. Data Scientist; Google can now identify house numbers on Street View, using deep learning

Help build the next generation of products for digital marketing, work on research and development projects ranging from predicting on-line ads performance to modeling algorithm implementation in production systems.

MADlib: Big Data Machine Learning in SQL for Data Scientists; IEEE Rock Stars of Big Data Presentations; Hadoop Elephants in the Cloud

Join world-class research team at Aalto U & U. of Helsinki, in Algorithms and machine learning, Creative technologies, Life science informatics, networked systems or related areas.

Zementis Universal PMML Plug-in (UPPI), which enables the execution of standards-based predictive analytics, now works for Teradata and IBM PureData systems. Also learn about Best practices for Hadoop and Machine Learning and read James Taylor on analytics standards.

Great list of 25+ NLP APIs for Sentiment Analysis, Text Processing, Topic Extraction; MLbase: Distributed Machine Learning using Apache Spark; "Sexy" Data Science should be a Team Sport, or it will fail ; LinkedIn files lawsuit over data-mining bots which mine user profiles

BigML Winter release offers enhanced performance and many new features for quickly building powerful predictive models, applications and services. Learn more on Jan 28 and get a 25% discount.

Feb 5 business analytics learning online event brings you an all-star lineup of BA and BI community experts delivering best practices for getting the most from your data. 24 Hours of PASS is free, thanks to our sponsors.

Help our innovative team improve medical education! Develop next generation interfaces and capabilities for medical education, building on existing custom-developed learning and curriculum management systems.

Led by Wharton Marketing Professor Peter Fader, a world-renowned thought leader, this online course is designed to help executives identify their most valuable customers and maximize their strategic value. Apply by Feb 14.

Hadoop in the Cloud became a trending topic in 2013, with many new product and project announcements. This guest post explores 6 reasons why customers are seeing increased value in this model.

This summit boasts a line-up of world class speakers and is set to bring together professionals pioneering Hadoop in their organizations.

We are a start-up focused on providing powerful market intelligence to the global app industry. Search for any app to see live information about its rank, revenue and downloads.

Here is a list of 50 leaders in Big Data, based on their story, ecosystem, insight, and influence, from Actian to Wibidata.

Why Is Machine Learning the most popular course at Stanford? MADlib: Big Data Machine Learning in SQL for Data Scientists; Prediction for 2014: data scientists (that's you) will be worth more; Analytics, Big Data, Data Mining, and Data Science companies and startups

Latest analytics/data mining news, including Features (13) | Software (2) | Courses, Events (1) | Meetings (4) | Jobs (5) | Academic (1) | Competitions (1) | Publications (7) | Tweets (6) | NewsBriefs (3) | CFP (14) .

This event, held at the Computer History Museum in Oct 2013, attracted a sold-out crowd who listened to 9 excellent speakers and leaders in the field - here are the presentations.

The Predictive Analytics World for Manufacturing conference will focus on several different application areas of manufacturing where predictive analytics and big data have proven to be game changers.

December 2013 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: Talend, Palantir, KPMG, Datameer, Dell, Takadu.

INFORMS is a top analytics conference featuring over 100 practical talks which provides pointed "how we did it" information from hand-picked industry speakers. Keynote speakers include industry thought leader, Tom Davenport. Sign up now at the super saver rates.

Data Science positions tasks need a rare combination of Statistics, Hacking, Database, Business, and other skills. New KDnuggets Poll is asking which approach is better for filling Data Science Positions - Individual or Team?

CUNY SPS offers a fully online and affordable MS in Data Analytics that prepares graduates to manage and analyze Big Data. Learn more in Jan 14 info session.

Big Data TechCon, Mar 31-Apr 2, Boston, is the HOW-TO big data event. Use code BIGDATA for $200 discount. Save even more with early bird by Jan 24.

MADlib is open source with commercially usable BSD license; supports Postgres and Pivotal Greenplum DBMS, and provides classification, regression, clustering, topic modeling and other analytics for Big Data.

How to build a successful #DataScience team; Netflix reverse engineered Hollywood to understand how people look for movies; 6000 Companies Hiring Data Scientists; An academic paper on how to search the Internet for evidence of time travel

Unicorn Data Scientists vs Data Science Teams; Top Datasets on Reddit; A Programmer Guide to Data Mining - Free Download

Are you a data ninja? Do you dream about solving puzzles at night? Join us and help us solve some of the most vexing problems.

BigML was used to create over 600,000 predictive models in 2013; Winter 2014 release makes big advances in speed and programmability, and new development mode allows you to run unlimited tasks of up to 16 MB for FREE.

This annual event serves an international forum for discussion of KNIME and how it is used in various fields such as business and customer intelligence, analytics and the life sciences. Early bird rates before Jan 27, 2014.

Analyze operational processes and information generation or utilization. Develop, test, implement and support computer-based information systems. Assist lower level analyst programmers with technical problems.

Currently Data Science (and Big Data) is a train that is going 99% faster than the rails can support. It can derail and become a failed fad. To succeed, Data Science and Big Data need to specialize.

Oryx on GitHub: Simple real-time large-scale machine learning infrastructure; Sad state of sentiment analysis: LESS accurate than a coin toss? Practical Tools for Exploring Data and Models, by R wizard @hadleywickham; Top stories in December

Upcoming meetings include Oracle BIWA Summit, EGC, Sentiment Analysis Symposium, PAW San Francico, GigaOM Structure Data, INFORMS, SBP, and SIAM Data Mining.

New Book: A Programmer Guide to Data Mining - Free Download; Open Source Data Science MS Curriculum; 3 Stages of Big Data; Top 2013 LinkedIn Groups; R leading, but Python is gaining

MicroStrategy Analytics Express and Data Mining Services, Skytree Machine Learning platform, Ubiq Analytics, and more education, meetings, and software.