Feb
2015 March
All (116) | Courses, Education (9) | Meetings (14) | News, Features (22) | Opinions, Interviews, Reports (47) | Publications (7) | Software (2) | Top Tweets (8) | Webcasts (7)
- Interview: Satyam Priyadarshy, Halliburton on Unlocking Success for Big Data Projects - Mar 31, 2015.
We discuss Predictive Analytics in Oil & Gas industry, Big Data analytics, key drivers of success,common reasons of failure, trends, advice, and more.
- How Big Data Can Improve the Lives of the Poor - Mar 31, 2015.
The role of Big Data in allowing greater financial inclusion for the poor also is a trending Internet topic. But it’s mostly creating optimism and interest, rather than controversy and dissent.
- Upcoming Webcasts on Analytics, Big Data, Data Science – Mar 31 and beyond - Mar 30, 2015.
Predictive Analytics for the Mainstream, Data Mining - Failure to Launch, Great Data Lakes, Disrupting Traditional Analyst Workflows, Tamr and Tableau, and more.
- Interview: Satyam Priyadarshy, Halliburton on Big Data Challenges in Oil & Gas Industry - Mar 30, 2015.
We discuss Analytics at Halliburton, Big Data challenges unique to Oil & Gas industry, and the 7 V’s of Big Data.
- Data Science as a profession – time is now - Mar 30, 2015.
Now is the time to begin thinking of Data Science as a profession not a job, as a corporate culture not a corporate agenda, as a strategy not a stratagem, as a core competency not a course, and as a way of doing things not a thing to do.
- Top KDnuggets tweets, Mar 26-29: The Basic Recipe for #MachineLearning in one slide; The Grammar of Data Science – comparing Python and R - Mar 30, 2015.
The Basic Recipe for Machine Learning in one slide; The Grammar of Data Science - comparing Python and R; Uber Data Science team reveals why taxis may never be able to compete; Comparing @PredictionIO (Open Source Version) vs Microsoft Azure Machine Learning.
- Top /r/MachineLearning Posts, Mar 22-28: Deep Learning flaws & Security, DeepMind Publications, and Keras - Mar 30, 2015.
Computer Vision security issues, DeepMind, statistics with Python, hacking on neural networks, and Keras, a neural network library are all topics on top of /r/MachineLearning this week.
- Text Analytics 2015 – Technology and Market Overview - Mar 30, 2015.
A leading analyst and expert on text analytics gives an overview of the past year and looks ahead on text analytics technology and market developments.
- Top stories for Mar 22-28: More Free Data Mining, Data Science Books; PredictionIO vs Microsoft Azure Machine Learning - Mar 29, 2015.
More Free Data Mining, Data Science Books and Resources; PredictionIO (Open Source Version) vs Microsoft Azure Machine Learning; Do We Need More Training Data or More Complex Models? Data science done well looks easy, which is a big problem.
- Interview: Bill Moreau, USOC on the Pursuit of a Career in Sports Analytics - Mar 28, 2015.
We discuss challenges in applying Data Analytics to sports, advice to beginners in the field of Sports Analytics, and more.
- The Grammar of Data Science: Python vs R - Mar 28, 2015.
In this post, I will elaborate on my experience switching teams by comparing and contrasting R and Python solutions to some simple data exploration exercises.
- Interview: Bill Moreau, USOC on Evidence-based Medicine to Reduce Sports Injuries - Mar 27, 2015.
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.
- PredictionIO (Open Source Version) vs Microsoft Azure Machine Learning - Mar 26, 2015.
Azure Machine Learning and PredictionIO are tools that both have similar visions and similar features, but when digging deeper you’ll notice key differences and key advantages to each.
- Interview: Bill Moreau, USOC on Empowering World’s Best Athletes through Analytics - Mar 26, 2015.
We discuss how United States Olympic Committee uses Big Data, how athletes respond to Analytical insights, integration of sports medicine into sports performance and sports injury.
- Top KDnuggets tweets, Mar 23-25: 24 free resources on Data Mining, Data Science; More Training Data or More Complex Models? - Mar 26, 2015.
24 free resources and online books on #DataMining, #DataScience, #MachineLearning; New R Online Tool for Seasonal Adjustment of time series; Key #DataScience question: More Training Data or More Complex Models?; Twitter #DataMining finds origins of ISIS support.
- Talking Machine – 3 Deep Learning Gurus Talk about History and Future, part 2 - Mar 26, 2015.
Key ideas from a podcast with Deep Learning gurus Geoff Hinton, Yoshua Bengio, and Yann LeCun, where they explain the power of distributed representation and also propose a new open paper review process.
- Database Pioneer Michael Stonebraker Wins ACM Turing Award, Computing “Nobel Prize” - Mar 25, 2015.
Michael Stonebraker, a database pioneer and a serial entrepreneur, won the 2014 ACM Turing Award (which carries $1 million prize) for fundamental contributions to the concepts and practices in modern database systems.
- More Free Data Mining, Data Science Books and Resources - Mar 25, 2015.
More free resources and online books by leading authors about data mining, data science, machine learning, predictive analytics and statistics.
- Talking Machine – 3 Deep Learning Gurus Talk about History and Future of Machine Learning, part 1 - Mar 25, 2015.
An recent interview from the talking machine podcast with three deep learning experts. They talked about the neural network winter and its renewal.
- TMA Predictive Analytics Data Mining Training [Wash. DC, May | Toronto, Aug] - Mar 24, 2015.
Successful analytics in the big data era does not start with data and software, but with hands-on, immersive training and goal-driven strategy - get it from The Modeling Agency in Washington DC (May), Toronto (Aug)
- Interview: Beena Ammanath, GE on Data Science – It’s Not Just Science! - Mar 24, 2015.
We discuss benefits and challenges of Data Lake, trends, life lessons, motivation, desired skills, and more.
- PASS Business Analytics Conference, Santa Clara, April 20-22 - Mar 24, 2015.
Aimed at business and data analytics professionals, it brings a lineup of world-class analytics speakers, fresh insights, compelling content and powerful networking. KDnuggets discount.
- Data science done well looks easy, which is a big problem - Mar 24, 2015.
Data Science done well looks too easy and that poses a major public relations problem for serious data scientists. The really tricky twist is that bad data science looks easy too.
- Upcoming Webcasts on Analytics, Big Data, Data Science – Mar 24 and beyond - Mar 24, 2015.
Addressing the Challenges of Data Variety, Semantic Publishing, How to scale faster with NoSQL, Data Mining - Failure to Launch, Disrupting Traditional Analyst Workflows, and more.
- Interview: Beena Ammanath, GE on the Industrial Internet for Data-driven Innovation - Mar 23, 2015.
We discuss the role of Analytics at GE, Industrial Internet and how it is different from consumer internet, and the key capabilities of Predix.
- Catch the Wave at Analytics 2015, the Leading Analytics, Big Data Conference, Huntington Beach, April 12-14 - Mar 23, 2015.
Analytics 2015 will go beyond the typical “buzz” about Big Data and the cloud, providing unique opportunities to learn about potential analytics applications to the Internet of Things, as well as practical implementations of cognitive computing, unstructured data analytics, and real-time decisions based on streaming data.
- Top KDnuggets tweets, Mar 19-22: Tensor methods for Machine Learning; Tibco survey: Big Data top use cases - Mar 23, 2015.
Tensor methods for #MachineLearning: fast, accurate, scalable, need open-source libs; #DataScience and Reproducibility: Explaining when the experiment does not work; Google #DeepLearning FaceNet is the best ever for recognizing faces; Tibco survey #BigData top use cases: Customer & Experience Analytics, Risk/Threat.
- GBDC: Real-Time Big Data Developer (focus on Spark, Storm, Flink, Kafka), Santa Clara, Apr 23-24 - Mar 23, 2015.
A fast paced, vendor agnostic, technical overview of the Apache Spark landscape, with technical sessions, use cases and hands-on sessions. Get KDnuggets discount.
- Do We Need More Training Data or More Complex Models? - Mar 23, 2015.
Do we need more training data? Which models will suffer from performance saturation as data grows large? Do we need larger models or more complicated models, and what is the difference?
- PAW: Learn the ways predictive analytics bolsters insurance - Mar 23, 2015.
Insurance relies greatly on predictive analytics - learn about advances and best practices at several PAW Business insurance-related sessions in San Francisco and Chicago.
- Top 10 UK Big Data Professionals - Mar 23, 2015.
The top 10 Big Data Professionals in the UK include CEOs, journalists, an Information Commissioner, and Analytics leaders from leading companies and organizations.
- Top stories for Mar 15-21: Deep Learning for Text Understanding from Scratch; White House on Big Data and Differential Pricing - Mar 22, 2015.
Deep Learning for Text Understanding from Scratch; 7 common mistakes when doing Machine Learning; White House report on Big Data and Differential Pricing; Why Data Gravity Cannot be Ignored.
- Automatic Statistician is here: Dr. Mo - Mar 21, 2015.
Dr. Mo, Automatic Statistician is here! Using Artificial Intelligence, self-learning algorithm, multimodel technology Dr. Mo achieves Super Accuracy and Speed. Simple use and simple output for non-statisticians.
- Interview: Brad Klingenberg, StitchFix on Decoding Fashion through Analytics and ML - Mar 21, 2015.
We discuss the challenges in making personal styling recommendations, unexpected insights, interesting trends, motivation, advice, desired qualities in data scientists and more.
- 2015 SIGKDD Data Science/Data Mining PhD Dissertation Award – Nominations due Apr 30 - Mar 21, 2015.
This annual award by ACM SIGKDD seeks to recognize outstanding research by doctoral candidates in the field of data mining, data science, and knowledge discovery. Nominations due Apr 30.
- Interview: Brad Klingenberg, StitchFix on Building Analytics-powered Personal Stylist - Mar 20, 2015.
We discuss StitchFix, how it leverages Analytics, understanding customer preferences, and pros-and-cons of involving human judgement in the recommendation process.
- useR 2015 – R User conference, Aalborg, Denmark, June 30 – July 3 - Mar 20, 2015.
The open source R language is a leading tool for data scientists. Attend useR! conference, the main annual event of the R community, June 30 - July 3, in Aalborg, Denmark.
- Top KDnuggets tweets, Mar 16-18: 87 Studies shown that accurate numbers aren’t more useful than the ones you make up (Dilbert) - Mar 19, 2015.
Also Sirius - a free, open-source version of Siri; #PI art: the first 13,689 digits of pi; Great tutorial + #Python code: 1-Layer Neural Networks.
- Small Data requires Specialized Deep Learning and Yann LeCun response - Mar 19, 2015.
For industries that have relatively small data sets (less than a petabyte), a Specialized Deep Learning approach based on unsupervised learning and domain knowledge is needed.
- Top /r/MachineLearning Posts, Mar 8-14: Word vectors, Hardware for Deep Learning, and Neural Graphics Engines - Mar 19, 2015.
Word vectors in NLP, Machine Learning's place in programming, hardware for deep learning, Machine Learning interviews, and neural graphics engines are all topics covered this week on /r/MachineLearning.
- Interview: Vince Darley, King.com on What do you need to become Top Grossing Game - Mar 19, 2015.
We discuss common characteristics of games that achieved top ranking, career advice, trends, desired qualities in data scientists and more.
- Interview: Vince Darley, King.com on the Serious Analytics behind Casual Gaming - Mar 18, 2015.
We discuss key characteristics of social gaming data, ML use cases at King, infrastructure challenges, major problems with A-B testing and recommendations to resolve them.
- PACE Data Mining Bootcamps, San Diego, April - Mar 17, 2015.
Every class is taught by SDSC experienced data scientists, delivering practical, hands-on training in an intimate classroom setting limited to 25 participants. Early bird till Mar 31.
- NYC Data Science Courses, Bootcamps, Meetups - Mar 17, 2015.
NYC Data Science Academy spring schedule includes 3 classes, 3 Meetups, 7 bootcamp events on Data Science, R, Python, Machine Learning, scikit-learn, and related topics.
- Interview: Dave McCrory, Basho on Why Data Gravity Cannot be Ignored in Architecture Design - Mar 17, 2015.
We discuss data gravity and its implications, Riak Enterprise 2.0, Riak CS 1.5, competitive landscape, challenges and more.
- Ontotext Introduces the S4 Developer Challenge - Mar 17, 2015.
The challenge will award a cash prize to developers that write the most interesting demo, application or show case utilizing the S4 capabilities for text analytics, linked data and knowledge graphs. Submissions due Mar 31.
- Ontotext Webinar: Semantic Publishing, Enhancing Content and Engagement, Mar 26 - Mar 17, 2015.
Ontotext will show how news and media publishers can use semantic publishing technology to more efficiently generate content while increasing audience engagement through personalization and recommendations.
- Upcoming Webcasts on Analytics, Big Data, Data Science – Mar 17 and beyond - Mar 16, 2015.
Predictive Analytics - Rethinking Big Data, Addressing the Challenges of Data Variety, Semantic Publishing for News & Media, Data Mining: Failure to Launch.
- Top KDnuggets tweets, Mar 12-15: Cartoon: the most difficult challenge facing the 1st US Chief Data Scientist @dpatil - Mar 16, 2015.
Cartoon: top challenge for US Chief Data Scientist DJ Patil; In-depth intro to #MachineLearning, #Statistics, R: 15 hours of videos; Amazing! Forget coding word meaning, grammar, syntax - now #DeepLearning can learn everything.
- Interview: Dave McCrory, Basho on Distributed Database Needs of a Future Enterprise - Mar 16, 2015.
We discuss the future of distributed storage for enterprise, Scale-up vs. Scale-out, software design patterns in Cloud era, microservices model and the place for legacy database in modern enterprise IT.
- IEEE ICDM 2015 Call for Papers, Workshops, Contest proposals, demos, and tutorials - Mar 16, 2015.
ICDM '15: The 15th IEEE International Conference on Data Mining, a leading research conference in the field, calls for workshop proposals, contest proposals, papers, demo proposals, and tutorial proposals. Conference dates: Nov 14-17, Atlantic City, NJ, USA.
- KDnuggets Free Pass to Big Data TechCon How-To Conference, Apr 26-28, Boston - Mar 15, 2015.
Win a free KDnuggets Pass for Big Data TechCon in Boston - the conference to learn HOW-TO master and analyze Big Data. Learn Hadoop, Spark, Yarn, HBase, R, and Hive from the smartest, hardest-working faculty.
- Top stories for Mar 8-14: 7 common Machine Learning mistakes; Deep Learning for Text Understanding from Scratch - Mar 15, 2015.
7 common mistakes when doing Machine Learning; Deep Learning for Text Understanding from Scratch; SQL-like Query Language for Real-time Streaming Analytics; 10 Steps to Success in Kaggle Data Science Competitions.
- White House report on Big Data and Differential Pricing - Mar 14, 2015.
White House report examines how companies are using big data and analytics to charge different prices to different customers (price discrimination), looks at both benefits and risks, and concludes that many concerns can be addressed by existing anti-discrimination and consumer protection laws.
- Interview: Kenneth Viciana, Equifax on Data Governance – Red Tape or Catalyst? - Mar 14, 2015.
We discuss recommendations for Data Governance policies, advice, Big Data trends, qualities sought in Data Scientists, and more.
- New Poll: Computing platform for your analytics, data mining, data science work or research - Mar 14, 2015.
New KDnuggets Poll is asking: What computing platform you use for analytics, data mining, data science work or research? Please vote.
- Report – MLconf: what industry leaders say about machine learning - Mar 14, 2015.
MLconf hosted in 4 different cities, NYC, Seattle, Atlanta and San Francisco with speakers from big, established companies and from emerging startups, bringing more ideas and experience into the game.
- Participate in the Rexer Analytics 2015 Data Miner Survey - Mar 14, 2015.
Data Analysts, Predictive Modelers, Data Scientists, Data Miners, and all other types of analytic professionals, students, and academics - please participate in the Rexer Analytics 2015 Data Miner Survey.
- Coursera: Process Mining: Data science in Action, April 2015 - Mar 14, 2015.
Due to the big success of the first run, this 6 week online course is repeated on Coursera, starting April 1. This free course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.
- Strata + Hadoop World London, 5-7 May 2015 - Mar 13, 2015.
Strata + Hadoop World has been called "mind-blowing", "an amazing event", "the most interesting and informative conference". See for yourself in London and get a special KDnuggets discount.
- Interview: Kenneth Viciana, Equifax on Data Lake & Other Strategies for Insights Culture - Mar 13, 2015.
We discuss the responsibilities of Enterprise Data Strategy team at Equifax, why Data Lake, Equifax Decision360, how to set up Insights Culture and bottlenecks for value delivery from Big Data.
- Cartoon: US Chief Data Scientist Most Difficult Challenge - Mar 13, 2015.
New KDnuggets cartoon looks at the most difficult challenge facing the first US Chief Data Scientist DJ Patil @dpatil.
- Top Big Data influencers of 2014, according to HadoopSphere - Mar 13, 2015.
Top big data influencers of 2014 include analysts Mike Gualtieri and Curt Monash, IBM and TDWI media, Spark and Scala products, Ben Lorica @bigdata and Gregory Piatetsky @kdnuggets on social media, Data Collective and AngelList co-founder.
- Deep Learning for Text Understanding from Scratch - Mar 13, 2015.
Forget about the meaning of words, forget about grammar, forget about syntax, forget even the very concept of a word. Now let the machine learn everything by itself.
- Top KDnuggets tweets, Mar 09-11: Learning path from noob to Kaggler in Python; 10 steps for success in Kaggle competitions - Mar 12, 2015.
Comprehensive learning path from noob to Kaggler in Python; 10 steps for success in Kaggle competitions; Machine learning packages #Python #Java #BigData #Lua #Clojure #Scala, R; Very useful LeaRning Path on R - Step by Step Guide.
- Interview: Josh Hemann, Activision on Why the Tolerance for Ambiguity is Vital - Mar 12, 2015.
We discuss handling bias in data, other data quality concerns, advice, desired qualities, and more.
- Simplilearn Big Data and Analytics Courses – CAREER30 - Mar 12, 2015.
Get Big Data and Analytics certification - a big plus for your career - with Simplilearn courses on Analytics, Big Data, Hadoop, SAS, R, Cloud Computing, and more, now at 30% discounted prices until Mar 30.
- Feb 2015 Analytics, Big Data, Data Mining Acquisitions and Startups Activity - Mar 12, 2015.
Feb 2015 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: @Kaggle cuts 1/3 of staff, Infosys buys Panaya, RapidMiner gets $15M, Palantir buys Fancy That, Hitachi buys Pentaho, and more.
- Deep Learning, The Curse of Dimensionality, and Autoencoders - Mar 12, 2015.
Autoencoders are an extremely exciting new approach to unsupervised learning and for many machine learning tasks they have already surpassed the decades of progress made by researchers handpicking features.
- SQL-like Query Language for Real-time Streaming Analytics - Mar 12, 2015.
We need SQL like query language for Realtime Streaming Analytics to be expressive, short, fast, define core operations that cover 90% of problems, and to be easy to follow and learn.
- Wharton Successful Applications of Customer Analytics Conference, Apr 30, Philadelphia - Mar 11, 2015.
Wharton Customer Analytics Initiative (WCAI) helps define Customer Analytics, with conference dedicated to real-world applications that balance high-level rigor and business know-how. Case studies include Nielsen, Google, Cablevision, and MLB.
- Interview: Josh Hemann, Activision on Taming the Beast of Gaming Big Data - Mar 11, 2015.
We discuss Analytics challenges at Activision, event data from games such as Call of Duty, balancing aesthetics and inference in visualization, problem with stacked charts and more.
- 10 Steps to Success in Kaggle Data Science Competitions - Mar 11, 2015.
The author, ranked in top 10 in five Kaggle competitions, shares his 10 steps for success. These also apply to any well-defined predictive analytics or modeling problem with a closed dataset.
- Machine Learning Table of Elements Decoded - Mar 11, 2015.
Machine learning packages for Python, Java, Big Data, Lua/JS/Clojure, Scala, C/C++, CV/NLP, and R/Julia are represented using a cute but ill-fitting metaphor of a periodic table. We extract the useful links.
- KDD-2017, top conference on Data Mining, Data Science Research coming to Halifax, Canada - Mar 10, 2015.
The 2017 edition of KDD, the leading conference on Knowledge Discovery, Data Mining, and Data Science Research will be held in Halifax, Nova Scotia, Canada.
- Interview: Slava Akmaev, Berg on Challenges in Transitioning Analytics to Clinical Utility - Mar 10, 2015.
We discuss Analytics use cases, challenges in relating molecular/clinical data to real-life outcomes, Healthcare Analytics trends and more.
- Strata + Hadoop World 2015 San Jose – Day 2 Highlights - Mar 10, 2015.
Strata + Hadoop World 2015 was a great conference, and here are key insights from some of the best sessions on day 2.
- PAW San Francisco: The Pentagon of Data Analytics Events, Mar 29 – Apr 2 - Mar 10, 2015.
In San Francisco this month, you'll find five data analytics events - join your peers by for case studies, profound keynotes, and build strong connections with data analytics professionals. Special KDnuggets discount.
- Northwestern Online MS in Predictive Analytics - Mar 10, 2015.
Prepare for leadership-level career opportunities, learn from distinguished Northwestern faculty and industry experts, build statistical and analytic expertise. Application deadline Apr 15.
- OpenDataSciCon – Data Science for All: What Do You Need ? - Mar 10, 2015.
“All you need is knowledge.” Open source is what paves the road to that knowledge and the Open Data Science Conference, Boston, May 30-31, 2015.
- NoSQL matters Paris, a conference for developers, architects and geeks, Mar 26-27 - Mar 10, 2015.
An opportunity to network with leading NoSQL experts from all over the world, enjoy mind blowing talks or simply have loads of fun hacking away with other participants in Paris, 26-27 Mar 2015.
- Upcoming Webcasts on Analytics, Big Data, Data Science – Mar 10 and beyond - Mar 9, 2015.
Data Wrangling and the Art of Big Data Discovery, Data Mining: Failure to Launch, The State of Hadoop Adoption, Addressing the Challenges of Data Variety, and more.
- Webinar: Data Mining: Failure to Launch [Mar 11] - Mar 9, 2015.
Learn how to get started with predictive modeling and overcome strategic and tactical limitations that cause data mining projects to fall short of their potential. Next webinar is Mar 11.
- Interview: Slava Akmaev, Berg on Healthcare Transparency & Effectiveness using Big Data - Mar 9, 2015.
We discuss Big Data Analytics at Berg, making Healthcare effective through Big Data, impact of falling cost of DNA sequencing, Berg AI-Analytics Suite and more.
- Top KDnuggets tweets, Mar 2-8: 6 categories in the Hadoop Ecosystem; How PayPal uses Deep Learning to fight fraud - Mar 9, 2015.
How #PayPal uses #DeepLearning and detective work to fight #fraud; Beginning #deeplearning with 500 lines of Julia; Processing frameworks for Hadoop and 6 categories in the #Hadoop Ecosystem; KDnuggets Poll results: #Analytics, #DataMining, #DataScience salary income by region.
- Chapter Download from “Data Mining Techniques” - Mar 9, 2015.
Download this chapter from "Data Mining Techniques" (3rd Edition), by Gordon Linoff and Michael Berry, and learn how to create derived variables, which allow the statistical modeling process to incorporate human insights.
- Top stories for Mar 1-7: All Machine Learning Models Have Flaws; Analytics, Data Mining, Data Science professionals salary - Mar 9, 2015.
All Machine Learning Models Have Flaws; Analytics, Data Mining, Data Science professionals well compensated; 7 common mistakes when doing Machine Learning; Interviews with Ted Dunning (MapR) and Kaiser Fung (junkcharts).
- Top /r/MachineLearning Posts, Mar 1-7: Stanford Deep Learning for NLP, Machine Learning with Scikit-learn - Mar 9, 2015.
This week on /r/MachineLearning, we have a new NLP-focused deep learning course from Stanford, an introduction to scikit-learn, visualization of music collections, an implementation of DeepMind, and NLP using deep learning and Torch.
- Juergen Schmidhuber AMA: The Principles of Intelligence and Machine Learning - Mar 9, 2015.
Jürgen Schmidhuber, pioneer in innovating Deep Neural Networks, answers questions on open code, general problem solvers, quantum computing, PhD students, online courses, and the neural network research community in this Reddit AMA.
- 7 common mistakes when doing Machine Learning - Mar 7, 2015.
In statistical modeling, there are various algorithms to build a classifier, and each algorithm makes a different set of assumptions about the data. For Big Data, it pays off to analyze the data upfront and then design the modeling pipeline accordingly.
- Interview: Lei Shi, ChinaHR.com on Unraveling Insights from Unstructured Data - Mar 7, 2015.
We discuss challenges in leveraging Big Data, important attributes while profiling employers and job seekers, competitive landscape, desired skills in data scientists and more.
- Interview: Lei Shi, ChinaHR.com on Analytics behind the Perfect Match - Mar 6, 2015.
We discuss analytics at ChinaHR, matching job seekers and employers, traditional job fairs vs online recruitment, key metrics and analytical insights.
- GISCUP: GIS-focused algorithm competition at ACM SIGSPATIAL GIS 2015 - Mar 6, 2015.
Route planner in real-time one of the most popular web GIS services in use today, and 2015 contest is to find shortest path under polygonal obstacles.
- Wrangling Public Bike Share Data with The Free Trial of Trifacta - Mar 6, 2015.
A free trial of Trifacta is a good opportunity for data analysts to start wrangle the different shapes and sizes of data sets. We give an example of wrangling Bay Area Bike Share data to better understand biking around San Francisco.
- Interview: Kaiser Fung, NYU on Why Statistical Reasoning is more important than Number Crunching - Mar 5, 2015.
We discuss why every individual should care about statistics, inspiration behind the book Numbersense, teaching statistics as liberal arts, Junk Charts blog, advice and more.
- 10 Predictive Analytics Influencers You Need to Know - Mar 5, 2015.
A list of Predictive Analytics Influencers based on Twitter activity around “#PredictiveAnalytics” and “Predictive Analytics”: Gregory Piatetsky, Vineet Vashishta, Aki Kakko and more.
- Online Graduate Certificate in Business Analytics from Penn State - Mar 5, 2015.
This new online Graduate Certificate covers the entire life cycle of data and analytics-supportive decision-making and is built around the framework from the Institute for Operations Research and Management Sciences (INFORMS).
- Hurwitz: Cognitive Computing and Big Data Analytics - Mar 5, 2015.
New book from Judith Hurwitz and associates on Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need.
- Top /r/Machine Learning Posts, February: Automating Tinder, Jurgen Schmidhuber, and Shazam - Mar 5, 2015.
Automating Tinder with Eigenfaces, the elephant in the room of Machine Learning, the Jürgen Schmidhuber AMA, and Shazam's music recognition algorithm make up the top posts in the last month on /r/MachineLearning.
- Top stories in February: 10 things statistics taught about big data; Gartner Analytics MQ: gainers and losers - Mar 5, 2015.
10 things statistics taught us about big data analysis; Data Science's Most Used, Confused, and Abused Jargon; Gartner Analytics MQ: gainers and losers; My Brief Guide to Big Data and Predictive Analytics for non-experts.
- Careers in Data Science and Business Analytics – NYU Seminar, Mar 28 - Mar 4, 2015.
In an upcoming one-day seminar by NYU School of Professional Studies, Kaiser Fung will explain how to shape a career in data science and business analytics. Date: March 28, 2015. Registration: Open.
- Interview: Kaiser Fung, NYU on Why Ignoring Data Integrity is a Recipe for Disaster - Mar 4, 2015.
We discuss different levels of Data Integrity, logical fallacies in Analytics, measures to boost accountability, role for human intelligence in Analytics and relevance of OCCAM framework.
- Upcoming March – August 2015 Meetings in Analytics, Big Data, Mining, Data Science - Mar 4, 2015.
Coming soon: Big Data Paris, TDWI Solution Summit, GigaOM Structure Data, Chief Data Strategy Forum, PAW San Francisco, Text Analytics World SF, Gartner BI and Analytics Summit, and 80+ more meetings/events.
- Top /r/MachineLearning Posts, Feb 22-28: Jurgen Schmidhuber AMA and Machine Learning Done Wrong - Mar 4, 2015.
The Jürgen Schmidhuber AMA begins taking questions, machine learning done wrong, GPUs for deep learning, Google opens its native MapReduce capabilities, and Google publishes its DeepMind paper this week on /r/MachineLearning
- The Elements of Data Analytic Style – checklist - Mar 4, 2015.
Jeff Leek book "Elements of Data Analytic Style" had a rocket launch, thanks to author course on Coursera. The book includes a useful checklist that can guide beginning data analysts or serve for evaluating data analyses.
- Failing Optimally – Data Science’s Measurement Problem - Mar 4, 2015.
Data science has a measurement problem. Simple metrics may not address complex situations. But complex metrics present myriad problems.
- Interview: Ted Dunning, MapR on Apache Mahout & Technology Landscape in ML - Mar 3, 2015.
We discuss Apache Mahout, its comparison with Spark and H2O, trends, advice, desired qualities in data scientists and more.
- Analytics, Data Mining, Data Science professionals well compensated - Mar 3, 2015.
US, Canada, and Australian analytics professionals are paid the most, with US/Canada Industry Data Science Managers earning on average $177K, Industry Data Scientists $126K, Academic Researchers $119K, and Data Analysts $86K.
- Chief Data Officer Summit, San Jose, Apr 28-29, 2015 - Mar 3, 2015.
CDO is vital in bridging the gap between the C-suite and the data team. The Chief Data Officer Summit in San Jose on April 28-29 will bring together top data leaders to discuss the growing responsibilities of the CDO. Special KDnuggets discount.
- All Machine Learning Models Have Flaws - Mar 3, 2015.
This classic post examines what is right and wrong with different models of machine learning, including Bayesian learning, Graphical Models, Convex Loss Optimization, Statistical Learning, and more.
- Upcoming Webcasts on Analytics, Big Data, Data Science – Mar 3 and beyond - Mar 2, 2015.
Data Wrangling and the Art of Big Data Discovery, Hadoop - A Solution for Big Data, Fast Data Meets Open Source, Real-Time Data on Hadoop with Apache Kafka, and more.
- Top KDnuggets tweets, Feb 26 – Mar 1: Bayes Theorem explained with Lego; 10 Cool #BigData Cartoons - Mar 2, 2015.
Cute and Educational: Bayes Theorem explained with Lego; 10 Cool #BigData Cartoons #TGIF; #DataMining Indian Recipes finds spices make negative food pairing more powerful; Key Take-Aways from Gartner 2015 MQ for #BI & Analytics Platforms.
- Interview: Ted Dunning, MapR on The Real Meaning of Real-Time in Big Data - Mar 2, 2015.
We discuss major Big Data developments in 2014, real-time processing, interactive queries, streaming systems, batch systems, MapR partnerships and challenges in scaling recommendation engines.
- Strata + Hadoop World 2015 San Jose – Day 1 Highlights - Mar 2, 2015.
Here are the quick takeaways and valuable insights from selected talks at one of the most reputed conferences in Big Data – Strata + Hadoop World 2015, San Jose.
- Top stories for Feb 22-28: Gartner 2015 MQ for Advanced Analytics: gainers and losers; History of Data Science Infographic - Mar 1, 2015.
Gartner 2015 Magic Quadrant for Advanced Analytics Platforms: who gained and who lost; History of Data Science Infographic in 5 strands; Interview: David Kasik, Boeing on Data Analysis vs Data Analytics.
- Additions to KDnuggets Directory in February - Mar 1, 2015.
Big Data Paris, Wharton Conf: Successful Applications of Customer Analytics, analytics consulting firms, Georgetown MS in Analytics, MSc in Data Science in France, and more meetings, companies, education, and solutions.
