Big Data Could Revolutionize Healthcare. Will We Let it?
The power to access and analyze enormous data sets can improve our ability to anticipate and treat illnesses. The benefits for society are just too great, and they won’t be ignored for long.
on Jan 31, 2015 in Big Data, Healthcare, Matt Reaney, Privacy, UK
Interview: Anthony Bak, Ayasdi on How to Get Started on Topology
We discuss the best resources to learn Topology, career motivation, important qualities sought in data scientists and more.
on Jan 30, 2015 in Anthony Bak, Ayasdi, Data Science, Education, Resources, Topological Data Analysis, Topology
Why unsupervised learning is more robust to adversarial distortions
Yoshua Bengio, a leading expert on Deep Learning, explains why good unsupervised learning should be much more robust to adversarial distortions than supervised learning.
on Jan 30, 2015 in Adversarial, Deep Learning, Unsupervised Learning, Yoshua Bengio
Top KDnuggets tweets, Jan 28-29: Top open source web crawlers for data mining; Listen to Edward Tufte, guru of Data Visualization
Useful list: Top 50 open source web #crawlers for data mining; Listen to Edward Tufte, guru of Data #Visualization, on how to see data; Not too sexy: Data Scientist is only n. 9 in Glassdoor 10 best jobs; When not analyzing #BigData, I am enjoying the Big Snow.
on Jan 30, 2015 in About Gregory Piatetsky, Crawler, Data Scientist, Data Visualization, Edward Tufte, Salary, Skiing
BioEye 2015 – Competition on Biometrics via Eye Movements
The BioEye 2015 competition is giving an opportunity to scientists and researchers to use a large, high quality database of eye movements and advance the field of eye movement biometrics.
on Jan 30, 2015 in Biometrics, Competition
Interview: Anthony Bak, Ayasdi on Novel Insights using Topological Summaries
We discuss examples of Topological Data Analysis (TDA) revealing new insights, recommended approach for creating Topological Summaries, Manual vs Automation approach and trends.
on Jan 29, 2015 in Anthony Bak, Automating, Ayasdi, Datasets, Success, TDA, Topological Data Analysis, Topology, Trends
Year 2014 in Review as Seen by a Event Detection System
We examine the significant events of 2014 found by event/trend detection tool Signi-Trend, including Sochi, Ukraine and Russia, Malaysian airlines, and Islamic State (ISIS).
on Jan 29, 2015 in 2014, Erich Schubert, Text Mining, Trend Detection, Ukraine
Data Science 102: K-means clustering is not a free lunch
K-means is a widely used method in cluster analysis, but what are its underlying assumptions and drawbacks? We examine what happens for non-spherical data and unevenly sized clusters.
on Jan 29, 2015 in Clustering, K-means, R
Webinar: The Pragmatic Text Miner, Feb 11
Learn about text mining of biomedical literature, challenges in building large collections, and how bioinformatics professionals can overcome those challenges.
on Jan 29, 2015 in Bioinformatics, Biomedical, Copyright Clearance Center, Text Mining
Don’t Miss Strata Hadoop World, San Jose, Feb 17-20, 2015
Strata + Hadoop World will be San Jose, Feb 17-20, and if you don't act fast, you may miss it. New venue, 250 speakers, In-person AMA, great events lineup. Special KDnuggets discount.
on Jan 29, 2015 in CA, Hadoop, San Jose, Strata, USA
Top KDnuggets tweets, Jan 26-27: Sample Machine Learning solutions with R on Azure ML Marketplace
Sample #MachineLearning solutions with R on #Azure ML Marketplace; xkcd explains P-Values: from Highly Significant to cr*p; Why you should learn R first for #datascience; Useful: 14 Data #Visualization Tools to Tell Better Stories.
on Jan 28, 2015 in Azure ML, Cartoon, Data Visualization, Marketplace, P-value, R, xkcd
Interview: Anthony Bak, Ayasdi on Managing Data Complexity through Topology
We discuss the definition of Topology, its relevance to Big Data and compare Topological Data Analysis (TDA) with other approaches.
on Jan 28, 2015 in Anthony Bak, Ayasdi, Data Analysis, Data Management, Predictive Modeling, Statistical Analysis, Topological Data Analysis, Topology
KDnuggets Free Pass to Strata Hadoop World San Jose, Feb 17-20, 2015
Strata + Hadoop World San Jose gathers the leading minds in Big Data, both decision makers and practitioners. See how to win a free KDnuggets 2-day pass.
on Jan 27, 2015 in CA, Free Pass, Hadoop, San Jose, Strata, USA
Interview: Nandu Jayakumar, Yahoo on What Does One Need for Big Data Success
We discuss Yahoo’s contributions to Big Data ecosystem, recommendation to Big Data vendors, predictions for Big Data, advice, and more.
on Jan 27, 2015 in Advice, Big Data, Nandu Jayakumar, Predictions, Success, Yahoo
PAW: Predictive Analytics World and Text Analytics World, Spring 2015, San Francisco
Come to the leading, world-renowned events in predictive analytics and text analytics - coming to San Francisco this spring - and build your skillset and knowledge. Special KDnuggets discount.
on Jan 27, 2015 in CA, PAW, Predictive Analytics World, San Francisco, Text Analytics, USA
GoodData Insights as a Service guides users thru the analytics process
GoodData launches Insights Network that goes beyond BI and gives uses recommendations that guide them through the analytics process. I ask them about it.
on Jan 27, 2015 in Big Data Services, Cloud Analytics, GoodData, Recommendations
CIOs name BI and analytics No. 1 investment priority for 2015
Join us at Gartner BI and Analytics Summit 2015, Mar 30 - Apr 1, in Las Vegas, and learn the business impact of advanced analytics and big data to make the right investments for success in the digital age.
on Jan 27, 2015 in Analytics, Business Intelligence, CIO, Gartner, Las Vegas, NV, Summit, USA
KDD-2015 Call for Papers, Workshop proposals
ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD) 2015 will be held in Sydney, Australia during August 10-13, 2015. KDD invites submissions of research papers, practice track papers, workshop proposals.
on Jan 26, 2015 in Australia, KDD-2015, Sydney, Workshops
Upcoming Webcasts on Analytics, Big Data, Data Science – Jan 27 and beyond
Tamr, Cognizant Machine and Devices, In-Memory Data Fabric, Real-Estate Analytics, RapidMiner, Analytics/Data Science Hiring Market, Platfora, TIBCO, Monetizing Big Data and more.
on Jan 26, 2015 in Hadoop, IIA, In-Memory Computing, RapidMiner, Tamr
Interview: Nandu Jayakumar, Yahoo on How Yahoo is Harnessing Big Data
We discuss the major Big Data uses cases at Yahoo, major challenges, trends in enterprise Big Data implementations, and advantages of using Spark.
on Jan 26, 2015 in Apache Spark, Big Data, Kafka, Nandu Jayakumar, Relational Databases, Shark, Yahoo
(Deep Learning’s Deep Flaws)’s Deep Flaws
Recent press has challenged the hype surrounding deep learning, trumpeting several findings which expose shortcomings of current algorithms. However, many of deep learning's reported flaws are universal, affecting nearly all machine learning algorithms.
on Jan 26, 2015 in convnet, Deep Learning, Ian Goodfellow, Machine Learning, Neural Networks, Yoshua Bengio, Zachary Lipton
Top KDnuggets tweets, Jan 19-25: Facebook open sources its Deep Learning tools; Intro to Python and IPython for Data Mining
Very useful: Intro to #Python and #IPython for #DataMining; Chart Type #CheatSheet: The Guide to Chart Design; Optimizing optimization algorithms; How to Choose between learning #Python or R? You can't go wrong.
on Jan 26, 2015 in Cheat Sheet, Data Visualization, Deep Learning, DeepMind, Demis Hassabis, Facebook, IPython, Python
Top /r/MachineLearning posts, Jan 18-24: K-means clustering is not a free lunch; A Deep Dive into Recurrent Neural Nets
Textbook Easter Eggs, issues with k-means, recurrent neural networks, genetic algorithm challenges, and the implementation of machine learning pipelines are all in this week's top /r/MachineLearning posts.
on Jan 26, 2015 in Clustering, Humor, Machine Learning, Recurrent Neural Networks, Reddit
simplilearn Big Data & Analytics Certification Courses Online, 30% off till Jan 31
Use Coupon code - JAN30A to save 30% off on all online self learning Big Data and Analytics courses, including Analytics, Hadoop, R, and SAS. Valid till Jan 31.
on Jan 26, 2015 in Certificate, Hadoop, Online Education, R, SAS, Simplilearn
MLDAS 2015: Machine Learning and Data Analytics Symposium – Qatar, Mar 9-10
MLDAS is a forum for machine learning and data analytics researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. Travel support for paper authors available.
on Jan 26, 2015 in Data Analytics, Doha, Machine Learning, Mohammed Zaki, Qatar, QCRI
Top stories for Jan 18-24: Basics of Deep Learning to Get You Started; Top SlideShare Presentations on Big Data, updated
Arno Candel on the Basics of Deep Learning to Get You Started; Top SlideShare Presentations on Big Data, updated; 15 Programming Languages to know in 2015; 8 Trends In Big Data For 2015.
on Jan 25, 2015 in Arno Candel, Big Data, Deep Learning, Document Classification, SlideShare, Top stories
Interview: John Schitka, SAP on The Type of Data Scientists We Need
We discuss the focus areas of Big Data strategy at SAP, how SAP is leading the competition, the kind of data scientists we need, advice and more.
on Jan 24, 2015 in Big Data Strategy, Career, Competition, Data Scientist, Interview, John Schitka, SAP, SAP HANA
Microsoft buys Revolution Analytics
Microsoft buys Revolution Analytics - I look at why this is both surprising and not.
on Jan 24, 2015 in Acquisitions, Azure ML, Microsoft, R, Revolution Analytics
Text Analysis 101: Document Classification
Document classification is an example of Machine Learning (ML) in the form of Natural Language Processing (NLP). By classifying text, we are aiming to assign one or more classes or categories to a document, making it easier to manage and sort.
on Jan 24, 2015 in Document Classification, Parsa Ghaffari, Text Analytics, Text Classification
UDEL: Certificate in Analytics: Optimizing Big Data
Understand why big data is so important in business decisions and sharpen your data management skills. Classes Feb 19 - May 28 in Wilmington, DE.
on Jan 23, 2015 in Analytics, Certificate, DE, U. Delaware, USA, Wilmington
Interview: John Schitka, SAP on How to Get Started with Big Data
We discuss the current perceptions of Big Data, challenges for Big Data consumerization, dealing with the talent gap, and business strategy for Big Data.
on Jan 23, 2015 in Business Strategy, Challenges, Hiring, John Schitka, Opportunities, SAP, SAP HANA
Top KDnuggets tweets, Jan 21-22: Palantir vs AirBnB – data mining to crack down on AirBnB hosts; AI program can beat almost any human in poker
Palantir #datamining used by NYC to crack down on AirBnB hosts; #BigData 2015 Top Brands: @IBMBigData @BigDataExpo @CIOonline @WorldBank @Cloud; #Google #Dataflow pipeline tool can now run on #Spark; Cepheus #AI program can beat almost any human in #poker, even bluffs.
on Jan 23, 2015 in About KDnuggets, AI, AirBnB, Big Data Influencers, Dataflow, IBM, Palantir, Poker
Shining Light on Dark Data
Dark Data is the ever-present, relatively unknown, and unmanaged volumes of data that exist in every corner of one’s business. Here’s what to do with it.
on Jan 23, 2015 in Dark Data, Data Preparation, Pneuron, Tom Fountain
BioASQ challenge on large-scale biomedical semantic indexing and question answering
The BioASQ challenge has 2 tasks: large-scale biomedical semantic indexing (join in February) and biomedical semantic QA (join in March-April).
on Jan 23, 2015 in BioASQ, Biomedical, Challenge, Question answering, Semantic Analysis
Interview: Arno Candel, H2O.ai on the Journey from Physics to Machine Learning
We discuss Arno’s career path, transition from Physics to Machine Learning, talent gap in Big Data, advice and more.
on Jan 22, 2015 in Arno Candel, Career, H2O, Hacking, Machine Learning, Physics, Skills
Big Data Bootcamp, Austin, Apr 10-12
A fast paced, vendor agnostic, technical overview of the Big Data landscape targeted towards technical and business people who want to understand the emerging world of Big Data. Special KDnuggets discount.
on Jan 22, 2015 in Austin, Big Data, Bootcamp, Hadoop, NoSQL, TX, USA
Innovation Enterprise Data Science and Hadoop Innovation Summits, San Diego, Feb 12-13
Join leading Data Scientists, Big Data and Hadoop professionals in San Diego to learn about the coming changes and challenges. Special KDnuggets discount.
on Jan 22, 2015 in CA, Data Science, Hadoop, IE Group, San Diego, Summit, USA
Top KDnuggets tweets, Jan 19-20: 15 programming languages you need to know in 2015; R Programming fun: writing a Twitter bot
15 #programming languages you need to know in 2015; #Facebook open sources its cutting-edge #DeepLearning tools; Simple Pictures that State-of-the-Art #AI Can't Recognize (yet); R Programming fun: writing a Twitter bot.
on Jan 21, 2015 in Deep Learning, Facebook, Image Recognition, Programming Languages, R, Twitter
Metis Data Science Bootcamp Open House, New York City, Feb 3
Meet instructors, students and alumni of Metis Data Science Bootcamp, enjoy pizza and drinks as instructors walk you through a sampling of what students learn in 12 weeks.
on Jan 21, 2015 in Bootcamp, Data Science, Irmak Sirer, Metis, New York City, NY, USA
Interview: Arno Candel, H20.ai on How to Quick Start Deep Learning with H2O
We discuss H2O use cases, resources to start using H2O for Deep Learning, evolution of High Performance Computing (HPC) and the future of HPC.
on Jan 21, 2015 in Arno Candel, Deep Learning, H2O, HPC, Resources, Trends, Use Cases
Learn how to develop a Chief Data executive role, March 30-31, Boston
This exclusive Forum is structured like an executive roundtable, with high-level industry experts leading think-tank discussions on the challenges and key solutions for implementing and developing a Chief Data executive role. Early reg by Jan 30.
on Jan 21, 2015 in Boston, Chief Data Officer, IQPC, MA, USA
The High Cost of Maintaining Machine Learning Systems
Google researchers warn of the massive ongoing costs for maintaining machine learning systems. We examine how to minimize the technical debt.
on Jan 21, 2015 in Google, Machine Learning, Software Engineering, Technical Debt, Zachary Lipton
Can noise help separate causation from correlation?
How to tell correlation from causation is one of the key problems in data science and Big Data. New Additive Noise Models methods can do it with over 65% accuracy, opening new breakthrough possibilities.
on Jan 21, 2015 in arXiv, Causation, Correlation, Francois Petitjean, Noise
8 Trends In Big Data For 2015
2015 trends include Non-Data Scientists, Real Time Big Data, Self Service Big Data, Shared Big Data, Big Data and IoT, Richer Data, More Big Data Geeks, and Creative Recruitment - read why.
on Jan 21, 2015 in Big Data, Internet of Things, Matt Reaney, Predictions for 2015, Real-time, Trends
Interview: Arno Candel, H2O.ai on the Basics of Deep Learning to Get You Started
We discuss how Deep Learning is different from the other methods of Machine Learning, unique characteristics and benefits of Deep Learning, and the key components of H2O architecture.
on Jan 20, 2015 in Apache Spark, Arno Candel, Deep Learning, H2O, Machine Learning
RapidMiner Academia makes RapidMiner freely available to students, academics worldwide
Students, professors and researchers can now use free of charge the latest version of RapidMiner platform for education and academic research.
on Jan 20, 2015 in Academics, Data Science Platform, Ingo Mierswa, Katharina Morik, RapidMiner
Upcoming Webcasts on Analytics, Big Data, Data Science – Jan 20 and beyond
Get Started with Hadoop, R, Smarter Data Lake, Platfora, Data Modeling, Tamr, Real-Estate Value Analytics, RapidMiner Modern Analytics and more.
on Jan 19, 2015 in Data Lakes, Hadoop, Platfora, R, RapidMiner, Tamr
Top KDnuggets tweets, Jan 12-18: Dilbert looks at #analytics of #dating and A/B testing; Deep Learning and Human Beings
Dilbert looks at #analytics of #dating and A/B testing; A Deep Dive into Recurrent Neural Nets #DeepLearning; Great read: #Visualizing Representations: #DeepLearning and Human Beings; 9 Lessons: Picking the Right #NoSQL Tools.
on Jan 19, 2015 in Cartoon, Deep Learning, Dilbert, Google, Knowledge Representation, NoSQL, Online Dating, Recurrent Neural Networks
Genetics as a Social Network – A Data Scientist Perspective
You can think about a cell’s genetics as a huge social network. We can then take the DNA sequences of the transcription factor footprints associated with each gene and predict the proteins bound to these regulatory regions, and in this way reconstruct the genetic regulatory networks in every cell type.
on Jan 19, 2015 in Bioinformatics, Biology, DNA, Nikhil Buduma, Social Networks
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.
on Jan 19, 2015 in Climate Change, Global Warming, R
Top /r/MachineLearning posts, Jan 11-17
SVMs, open source datasets, Bayesian decision theory, game AI, and deep learning visualizations are all featured in the past week's top /r/MachineLearning posts.
on Jan 18, 2015 in AI, Bayesian, Datasets, Deep Learning, Games, Grant Marshall, Machine Learning, Open Source, Reddit, SVM, Visualization
Top SlideShare Presentations on Big Data, updated
REST APIs and crawling offer two different ways to gather big data presentations from SlideShare, but they provide different results and lead to a very different view of the data. We examine why and find a useful data science lesson.
on Jan 18, 2015 in API, Big Data, Presentation, SlideShare
IE Masters in Analytics and Big Data – first hand report
First hand report on Master in business analytics and big data program at IE (Madrid, Spain) - why, what, how, days, and challenges.
on Jan 18, 2015 in Business Analytics, Gini, IE School, Madrid, Madrid-Spain, Master of Science, Spain
Top stories for Jan 11-17: Research Leaders on Data Mining/Big Data key trends, top papers; Deep Learning in a Nutshell
Research Leaders on Data Mining, Data Science, and Big Data key trends, top papers; Deep Learning in a Nutshell - what it is, how it works, why care?; Deep Learning can be easily fooled; Cartoon: Hello, Singularity.
on Jan 18, 2015 in Cartoon, Deep Learning, Research, Top stories, Trends
Top KDnuggets tweets, Jan 14-15: 10 FB likes predicts personality better than a co-worker; A Deep Dive into Recurrent Neural Nets
A Deep Dive into Recurrent Neural Nets #DeepLearning; SOASTA announces #DataScience Workbench for insights from user experience; What's Wrong with this Picture? The Art of Honest Visualizations; Deep Learning can be easily fooled.
on Jan 16, 2015 in Data Science Platform, Data Visualization, Deep Learning, Recurrent Neural Networks
Interview: Amit Sheth, Kno.e.sis on Designing Academic Curriculum for Data Science
We discuss curriculum development around Data Science, trends in Big Data arena, qualities sought in students and more.
on Jan 16, 2015 in Academics, Amit Sheth, Data Science, Interview, Statistics
DMA Marketing Analytics Conference, Chicago, Mar 9-11
DMA Marketing Analytics Conference features leading speakers from LinkedIn, IBM, Razorfish, Ford, Northwestern, Adobe, BCBS of North Carolina, The Weather Company, Starwood Hotels, and many more. Special KDnuggets discount.
on Jan 16, 2015 in Analytics, Chicago, DMA, IL, Marketing, USA
How to interview a data scientist
Having spent the last year interviewing a large number of Data Scientists, I’ve developed a simple set of questions that help me to understand the what, the why and the how of what they do.
on Jan 16, 2015 in Chris Pearson, Data Scientist, Hiring
Interview: Amit Sheth, Kno.e.sis on Deriving Actionable Insights from Social Data
We discuss Twitris—a tool for collective social intelligence, challenges in using social data to get actionable insights during emergency situations, managing Data Variety, and entrepreneurship.
on Jan 15, 2015 in Amit Sheth, Entrepreneur, Insights, Interview, Kno.e.sis, Semantic Analysis, Sensors, Social Media Analytics
ChaLearn Automatic Machine Learning Challenge (AutoML)
Design the perfect machine learning “black box” capable of performing all model selection and hyper-parameter tuning without any human intervention. There is a prize pool of $30,000 donated by Microsoft if you are willing to make your code publicly available.
on Jan 15, 2015 in Challenge, Machine Learning, Microsoft
Top KDnuggets tweets, Jan 12-13: Dilbert on analytics of #dating and A/B testing; Convolutional Neural Nets (LeNet)
Dilbert looks at #analytics of #dating and A/B testing; 9 Lessons: Picking the Right #NoSQL Tools; How Google Will Know If You're Lying - with semantic search and #BigData; 10 Big Data Experts to Know.
on Jan 14, 2015 in Cartoon, Deep Learning, Dilbert, LeNet, NoSQL
MetaMind Competes with IBM Watson Analytics and Microsoft Azure Machine Learning
While Microsoft and IBM rush to bring data science and visualization to the masses, MetaMind follows another path, offering deep learning as a service.
on Jan 14, 2015 in Azure ML, Deep Learning, IBM Watson, MetaMind, Richard Socher, Zachary Lipton
Interview: Amit Sheth, Kno.e.sis on Deriving Value from Big Data through Smart Data
We discuss the definition of Smart Data, how to derive Smart Data from Big Data, maturity assessment for Smart Data pursuit, computing for human experience and Kno.e.sis.
on Jan 14, 2015 in Amit Sheth, ecosystem, Health, Innovation, Interview, Kno.e.sis, Research, Semantic Analysis, Smart Data, Value Proposition
Deep Learning can be easily fooled
It is almost impossible for human eyes to label the images below to be anything but abstract arts. However, researchers found that Deep Neural Network will label them to be familiar objects with 99.99% confidence. The generality of DNN is questioned again.
on Jan 14, 2015 in Deep Learning, Deep Neural Network, Evolutionary Algorithm, Image Recognition, Ran Bi
CFP: Sentiment Analysis Symposium + Workshops 2015
The Sentiment Analysis Symposium is the first, biggest, and best conference to tackle the business value of sentiment, mood, opinion, and emotion. Register for 2015 symposium, please submit your proposal online by January 23.
on Jan 14, 2015 in New York City, NY, Sentiment Analysis, USA
CFP: ACM Transactions on Knowledge Discovery from Data
Transactions on Knowledge Discovery from Data (TKDD) welcomes papers on a full range of research in the knowledge discovery and analysis of diverse forms of data. Subjects include scalable and effective algorithms for data mining and big data analysis, mining brain networks, mining data streams and more.
on Jan 14, 2015 in ACM, Charu Aggarwal, Jian Pei, Knowledge Discovery, Mohammed Zaki, Philip S. Yu, TKDD, Xindong Wu
Open Data Science Conference Call for Speakers, Boston, May 30-31
Open Data Science Conference is focusing on applied data science featuring real world applications and looking for both technical and non-technical data-centric talks. Boston, May 30-31, 2015.
on Jan 14, 2015 in Boston, MA, Open Data, USA
TMA Predictive Analytics, Data Mining Training [Orlando, Feb | Las Vegas, May]
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 Orlando (Feb), Las Vegas (Apr), or Washington DC (May).
on Jan 13, 2015 in Data Mining Training, DC, FL, Las Vegas, NV, Orlando, TMA, USA, Washington
Info Kit: Statistics, Predictive Modeling and Data Mining with JMP
Find out how to challenge assumptions, spot patterns and reveal potential solutions to problems that otherwise would not be visible. Register for this complimentary info kit.
on Jan 13, 2015 in Data Preparation, JMP, Statistics
Wharton Online Course: Strategic Value of Customer Relationships
During an 8-week online program (Mar 2 - Apr 26) taught by Wharton marketing professor Peter Fader, learn how to decipher the streams of customer data flowing into your company.
on Jan 13, 2015 in Customer Analytics, Customer Value, Peter Fader, Wharton
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.
on Jan 13, 2015 in API, Chris Wiggins, Data journalism, Data Scientist, NYTimes, Privacy
10 Big Data Experts to Know
High-power executives, experts, and entrepreneurs shape the future of the big data market, making them necessary knowledge for anyone in the know in the industry.
on Jan 13, 2015 in Big Data Influencers, Chief Data Officer, Experts, Information Management
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.
on Jan 13, 2015 in Apache Spark, Burtch Works, Data Science, Hiring, MOOC, Predictions for 2015, Salary, Startups
Lityx seeks to align with analytic individuals looking to have their own business
Lityx Analytics Network seeks to bring together experienced analysts and provides the tools and support for them to run their own analytics business.
on Jan 12, 2015 in Analytics, Consulting, Lityx, LityxIQ
Top KDnuggets tweets, Jan 5-11: Data Driven: Creating a Data Culture; Deep Learning in a Nutshell
New book: Data Driven: Creating a Data Culture, by top #DataScience experts; #DeepLearning in a Nutshell: what it is, how does it work, and why; Programming languages popularity by US state; 4 ways to identify the best #data #tools.
on Jan 12, 2015 in Deep Learning, DJ Patil, Hilary Mason, Kaggle, Programming Languages
INFORMS Analytics and Data Science Education
Upcoming INFORMS continuing education courses offer training in Essential Skills for Analytics Professionals, Data Exploration & Visualization, Modern Predictive Analytics, and Monte Carlo and Discrete-Event Simulation.
on Jan 12, 2015 in Certification, Data Science Education, Data Visualization, INFORMS, Skills, Training
Coursera / Stanford Mining Massive Datasets MOOC, Jan-Mar 2015
Don't miss! Top Stanford researchers teach efficient and scalable methods for extracting models and other information from very large amounts of data. Next session of this great course starts Jan 31 on Coursera and is free.
on Jan 12, 2015 in Anand Rajaraman, Coursera, Data Science Education, Jeff Ullman, Jure Leskovec, Mining Massive Datasets, MOOC, Stanford
Interview: Miriah Meyer, Univ. of Utah on the Art and Science of Visualization
We discuss insights from the best paper at ACM AVI 2014, increasing interest in visualization, infographics, trends, challenges, advice and more.
on Jan 12, 2015 in ACM, Advice, Art, Challenges, Interview, Miriah Meyer, Science, Storytelling, Trends, Utah, Visualization
December 2014 Analytics, Big Data, Data Mining Acquisitions and Startups Activity
December 2014 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: Scaled Inference, Pulse Energy, Mixpanel, Oracle buys Datalogix, Hortonworks IPO, MSFT buys HockeyApp, Brandwatch buys PeerIndex, MetaMind launches.
on Jan 12, 2015 in Hortonworks, Microsoft, Oracle, PeerIndex, Startups
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.
on Jan 12, 2015 in Brain, Deep Learning, DeepMind, Neural Networks, Nikhil Buduma
Fundamental methods of Data Science: Classification, Regression And Similarity Matching
Data classification, regression, and similarity matching underpin many of the fundamental algorithms in data science to solve business problems like consumer response prediction and product recommendation.
on Jan 12, 2015 in Classification, Data Science, Regression, Similarity
Cartoon: Hello, Singularity
New KDnuggets cartoon takes a look at what can happen when Artificial Intelligence (AI) achieves Singularity.
on Jan 11, 2015 in AI, Artificial Intelligence, Cartoon, Singularity
Top KDnuggets Analytics, Big Data, Data Science stories in 2014, updated
Top KDnuggets stories in 2014 had several themes - Deep Learning; Data Scientist career, education, and salary; IBM Watson; Resources for learning Data Science, especially R and Python, and polls on what are most popular analytics/data mining software & languages.
on Jan 11, 2015 in Analytics Languages, Cartoon, Data Scientist, Deep Learning, IBM Watson, Python, R, Top stories, Yann LeCun
Debunking Big Data Myths. Again
Myths change with understanding. Misunderstandings on some of the current myths surrounding big data as follows will fade away: big data is made for big business, big data adoption is high and machine learning overcomes human bias.
on Jan 11, 2015 in Big Data, Big Data Hype, Machine Learning, Rick Delgado
Top stories for Jan 4-10: 11 Clever Methods of Overfitting; Research Leaders on Data Science and Big Data
11 Clever Methods of Overfitting and how to avoid them; Causation vs Correlation: Visualization, Statistics, and Intuition; Research Leaders on Data Science and Big Data key trends, top papers; Differential Privacy: How to make Privacy and Data Mining Compatible.
on Jan 11, 2015 in Causation, Correlation, Overfitting, Privacy, Programming Languages, Top stories, Trends
Interview: Sharmila Mulligan, ClearStory Data on Variety & Velocity to be Big Data Priorities
We discuss the ClearStory Data’s competitive differentiation, client use case, Big Data trends, advice, desired soft skills in data scientists and more.
on Jan 10, 2015 in Advice, Big Data, ClearStory Data, Data Science Skills, Interview, Sharmila Mulligan, Trends, Use Cases
PACE Data Mining Boot Camps, San Diego, Feb 10-11
San Diego Supercomputing Center PACE (Predictive Analytics Center of Excellence) excels at delivering practical, hands-on training in a small classroom setting. Attend next data mining boot camp is Feb 10-11.
on Jan 10, 2015 in Bootcamp, CA, Data Mining, PACE, San Diego, SDSC, USA
Wharton Workshop: Bringing Customer Lifetime Value to Life, Feb 19-20, Philadelphia
Predicting how much profit can be generated from a future relationship with a customer is extremely important. This workshop will teach how do this important analysis.
on Jan 10, 2015 in Customer Analytics, Lifetime Value, PA, Philadelphia, USA, Wharton
AI Says Data Scientists Not So Sexy in 2015
In 2015, democratization of data will become the democratization of information, data-hoarding era will be end and artificial intelligence will step into the mainstream.
on Jan 10, 2015 in AI, Artificial Intelligence, Data Science
Top KDnuggets tweets, Jan 7-8: Programming languages popularity by US state; Machine Learning best practices from Kaggle competitions
Programming languages popularity by US state; Why Ayasdi Topological Data Analysis Works - real data frequently is nonlinear; Learning Data Science and Predictive Modeling at Your Own Pace; Great talk: Machine Learning best practices from Kaggle competitions.
on Jan 9, 2015 in Ayasdi, Best Practices, Data Science Education, Java, Kaggle, Programming Languages, Python
Differential Privacy: How to make Privacy and Data Mining Compatible
Can privacy coexist with machine learning and data mining? Differential privacy allows the learning of general characteristics of populations while guaranteeing the privacy of individual records.
on Jan 9, 2015 in arXiv, Big Data, Cynthia Dwork, Data Mining, Differential Privacy, Zachary Lipton
Research Leaders on Data Mining, Data Science, and Big Data key trends, top papers
We asked global research leaders in Data Science and Big Data what are the most interesting research papers/advances of 2014 and what are the key trends they see in 2015. Here are their answers.
on Jan 9, 2015 in Charu Aggarwal, Deep Learning, Eamonn Keogh, Healthcare, Jeff Ullman, Jian Pei, Jiawei Han, Mohammed Zaki
Predictive Analytics Innovation Summit, Chicago – Day 2 Highlights
Highlights from the presentations by Predictive Analytics leaders from Time Warner Cable, AT&T and Verizon on day 2 of Predictive Analytics Innovation Summit 2014 in Chicago.
on Jan 9, 2015 in AT&T, Chicago, IE Group, IL, Predictive Analytics, Time Warner Cable, USA, Verizon
World experts will meet for first Deep Learning Summit in San Francisco, Jan 29-30
The Deep Learning Summit is a unique opportunity to meet influential data scientists, technologists, world-leading researchers, entrepreneurs and data engineers. KDnuggets discount.
on Jan 9, 2015 in CA, Deep Learning, San Francisco, USA
Interview: Sharmila Mulligan, ClearStory Data on Collaborative StoryBoards for Big Data
We discuss the founding story of ClearStory Data, progress since its launch, Collaborative StoryBoards, common pain points in business analytics and data harmonization.
on Jan 8, 2015 in ClearStory, Sharmila Mulligan
Learning Data Science and Predictive Modeling at Your Own Pace – A Free Online Video Series
A twenty part video training series on Predictive Modeling, offering the Rapid Insight and the concepts behind the predictive models.
on Jan 8, 2015 in Big Data, Data Science, Predictive Modeling, RapidInsight
PAN Competition 2015: Plagiarism Detection, Author ID, Author Profiling
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?
on Jan 8, 2015 in Author Detection, Author Profiling, Competition, Plagiarism Detection
Top KDnuggets tweets, Jan 5-6: Great post: Deep Learning in a Nutshell; Big Data visualized in so many ways
Great post: #DeepLearning in a Nutshell: what it is, how does it work, and why care; #BigData is visualized in so many ways...; Review of @deanabb book "Applied Predictive Analytics" ; Free Predictive Modeling Education Videos - Learn #DataScience at your own pace.
on Jan 7, 2015 in Data Science Education, Data Visualization, Dean Abbott, Deep Learning, RapidInsight
Majority thinks Artificial Intelligence will not be a threat to Humanity
The plurality of 48% in latest KDnuggets poll say Artificial Intelligence will not be a threat to Humanity, but really interesting and scary questions have been raised - perhaps humanity is a threat to progress?
on Jan 7, 2015 in AI, Artificial Intelligence, Poll, Threat to Humanity
PAW: 5 Co-Located Analytics Events in San Francisco, March 29 – Apr 2, 2015
March 29 - Apr 2, 2015 San Francisco hosts PAW for Business, eMetrics Summit, Predictive Analytics World for Workforce, Text Analytics World and the PA Times Executive Breakfast.
on Jan 7, 2015 in CA, PAW, Predictive Analytics World, San Francisco, Text Analytics, USA, Workforce Analytics
Upcoming Webcasts on Analytics, Big Data, Data Science – Jan 6, 2015 and beyond
Hadoop, Top BI Trends, Enter a KDD Cup or Kaggle, YARN, In-Database Analytics Deep Dive, Data Mining: Failure to Launch, and more.
on Jan 6, 2015 in Hadoop, In-Database, Kaggle, KDD Cup, YARN
Predictive Analytics Innovation Summit, Chicago – Day 1 Highlights
Highlights from the presentations by Predictive Analytics leaders from Netflix, LinkedIn and Mashable on day 1 of Predictive Analytics Innovation Summit 2014 in Chicago.
on Jan 6, 2015 in Business Analytics, Chicago, IL, LinkedIn, Mashable, Netflix, Predictive Analytics, USA
Big Data Bootcamp, Santa Clara, Jan 16-18
This is a fast paced, vendor agnostic, technical overview of the Big Data landscape targeted towards both technical and non-technical people who want to understand the emerging world of Big Data. Special KDnuggets discount.
on Jan 6, 2015 in Big Data, Bootcamp, CA, Santa Clara, USA
iMath Cloud Data Science Platform beta
iMathResearch presents a Data Science platform, offering development in Python, R or Octave, cloud-based collaboration, private computational instances and visualization from the browser.
on Jan 6, 2015 in Barcelona, Data Science Platform, Octave, Python, R, Spain
Agnik Connected Insurance Program powered by Vehicle Analytics
Car owners can save up to 20% with Connected Insurance Program with participating insurance carriers by opting in after driving for least 50 miles with an Agnik connected car product.
on Jan 6, 2015 in Agnik, Cars, Insurance, Vehicle Analytics
Webinar: Data Mining: Failure to Launch [Jan 15]
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 Jan 15.
on Jan 5, 2015 in Data Mining, Failure to Launch, TMA
Interview: Paul Robbins, STATS on the Potential and Challenges for Sports Analytics
We discuss Analytics at STATS, typical daily tasks, ICE Analytics platform, key challenges, response from coaches/players, career advice and more.
on Jan 5, 2015 in Analytics, Challenges, Coaching, NBA, Paul Robbins, Performance, Sports, STATS
Upcoming Jan – Jun 2015 Meetings in Analytics, Big Data, Data Mining, Data Science, Machine Learning
Coming soon: Big Data Innovation Las Vegas, EGC, Deep Learning Summit SF, TDWI Las Vegas, IKDD India, PAW Business and PAW Workforce San Francisco, Text Analytics World, MLconf NYC, SBP15.
on Jan 5, 2015 in CA, Chicago, IL, Las Vegas, London, NV, San Francisco, UK, USA
Top KDnuggets tweets, Dec 29 – Jan 04: A brilliant way to tell causation from correlation; Machine Learning Experts You Need to Know.
SAS is n1 among major BI vendors whose users plan to discontinue use; How #MachineLearning, #BigData, and image recognition could revolutionize search; A brilliant way to tell causation from correlation; Machine Learning Experts You Need to Know: Geoff Hinton, Michael Jordan, Andrew Ng.
on Jan 5, 2015 in Andrew Ng, Causation, Correlation, Geoff Hinton, Image Recognition, Michael Jordan, SAS
Enter a KDD Cup or Kaggle Competition. You don’t need to be an expert!
The webinar will show on the example of KDD Cup 2009 how Salford TreeNet can quickly achieve a top 5 result, and how to quickly build great models even if you are not an expert.
on Jan 4, 2015 in Competition, Kaggle, KDD Cup, Regression, Salford Systems, TreeNet
Causation vs Correlation: Visualization, Statistics, and Intuition
Visualizations of correlation vs. causation and some common pitfalls and insights involving the statistics are explored in this case study involving stock price time series.
on Jan 4, 2015 in Alex Jones, Causation, Correlation, Data Visualization, Statistics
Top stories for Dec 28 – Jan 3: What will happen to big data and data science? Analytics: Five Rules to Cut Through the Hype
2015 Predictions: What will happen to big data and data science?; Data Mining is LinkedIn Hottest Skill in 2014; Analytics: Five Rules to Cut Through the Hype; 11 Clever Methods of Overfitting and how to avoid them.
on Jan 4, 2015 in Overfitting, Predictions for 2015, Skills, Top stories
Data Mining and Text Analytics of World Cup 2014
Explore how text analysis techniques to dig into some of the data in a series of blog posts, focusing on matches and their events, tweets languages, tweets volumes for different teams and sentiment analysis.
on Jan 3, 2015 in Brazil, Germany, Parsa Ghaffari, Text Analytics, World Cup
NYC Open Data Meetups in January
Upcoming events including Python Machine learning class Demo Day, Data Science Bootcamp and more.
on Jan 3, 2015 in Data Science Education, GitHub, New York City, NY, Python, USA
Top stories in December: If programming languages were vehicles; Cartoon: Unexpected Data Science Recommendations
If programming languages were vehicles, what would be R, Python, SAS, and SQL? Cartoon: Unexpected Data Science Recommendations; Geoffrey Hinton talks about Deep Learning, Google and Everything; IBM Watson Analytics vs. Microsoft Azure Machine Learning.
on Jan 2, 2015 in Azure ML, Cartoon, Geoff Hinton, IBM Watson, Programming Languages, Top stories
11 Clever Methods of Overfitting and how to avoid them
Overfitting is the bane of Data Science in the age of Big Data. John Langford reviews "clever" methods of overfitting, including traditional, parameter tweak, brittle measures, bad statistics, human-loop overfitting, and gives suggestions and directions for avoiding overfitting.
on Jan 2, 2015 in Cross-validation, John Langford, Overfitting
2014 in Review: Top KDnuggets tweets in August
Worst Venn Diagram ever? ThomsonReuters needs a new graphic designer; The World Bank sums up the entire global economy in one chart; #BigData moves to "Trough of Disillusionment" in Gartner 2014 Hype Cycle; xkcd: Boyfriend as a statistically "significant" other.
on Jan 1, 2015 in Big Data Hype, Gartner, Venn Diagram, World Bank, xkcd
NYC Data Science Academy Bootcamp, Feb 2 – Apr 24
Learn from one of NYC top Data Science Instructors and receive mentorship from Chief Data Scientists, ending with interview prep and job placement at top firms in New York and the Tri-State area.
on Jan 1, 2015 in Bootcamp, Data Science Education, Hadoop, New York City, NY, Python, R, USA
Analytics: Five Rules to Cut Through the Hype
Cut through the analytics hype by asking the right questions, discerning between value-add analytics, considering in and out of house solutions, forming an iterative analytics process, and making sure your organization uses it.
on Jan 1, 2015 in Lana Klein, Predictive Analytics
Additions to KDnuggets Directory in December 2014
TDWI Las Vegas (Feb 22), UIC Big Data Symposium (Mar 17), INFORMS (Apr 12-14), BVA Data Science, Silk visualization and more.
on Jan 1, 2015 in Data Science Education, Data Visualization, TDWI
|
| 
