Year in Review: Top KDnuggets tweets in September
One pattern is random, other is machine-generated. Can you guess which?; 14 Awesome (and Free) #DataScience Books; Dilbert 20 funniest cartoons on #BigData, data mining, privacy; Watch: Statistical, Machine learning with R, great 15 hour online course.
on Dec 30, 2014 in Data Mining Books, Dilbert, R, Random
Interview: Ben Werther, CEO, Platfora on Insightful Analytics for Big Data
We discuss the challenges in implementing end-to-end solutions for Big Data, Platfora use cases, Big Data trends, advice and more.
on Dec 30, 2014 in Advice, Ben Werther, Challenges, Interview, IoT, Platfora, Trends, Use Cases
Year in Review: Top KDnuggets tweets in October
Data mining classics: Classifying Shakespearean Drama; Air traffic data is being analyzed to predict Ebola Spread; A Great Collection of #MachineLearning Algorithms; Best Programming Language for Machine Learning.
on Dec 29, 2014 in Air traffic, Algorithms, Ebola, Machine Learning, Programming Languages, Shakespeare
Interview: Ben Werther, CEO, Platfora on Why Big Data Needs Self-Service Tools
We discuss the importance of self-service model for Big Data tools, Small Data vs. Big Data, unique advantages of Platfora, key enhancements in Platfora 4.0 and more.
on Dec 29, 2014 in Ben Werther, Competition, Data Democratization, Interview, Platfora, Self-service, Survey, Tools, Visualization
Top KDnuggets tweets, Dec 22-28: Top 10 Data Science Skills, and How to Learn Them; How to tell correlation from causation
Top 10 Data Science Skills, and How to Learn Them; Mathematicians claim to figure out how to tell correlation from causation; Review of #MOOC Learning from Data - the class that changed everything; Free Big Data sources every Data Science enthusiast should know.
on Dec 29, 2014 in Causation, Correlation, Data Science Skills, Deep Learning, Learning from Data, MOOC
KDnuggets 14:n35, Data Mining: Hottest Skill; 2015 Predictions; KDD-2015
2015 Predictions: What will happen to big data and data science? KDD-2015 in Sydney - CFP; Open Source Tools for Machine Learning; The Big Data of Wearables.
on Dec 29, 2014 in LinkedIn, Predictions for 2015, Skills
Top stories for Dec 21-27: 2015 Predictions for big data and data science; The Big Data of Wearables
2015 Predictions: What will happen to big data and data science?; The Big Data of Wearables; Open Source Tools for Machine Learning; FICO CAO sees a Post-Big Data World.
on Dec 28, 2014 in Big Data, Cloud Computing, FICO, Top stories, Wearables
Year in Review: Top KDnuggets tweets in November
P-values, the "gold standards" of statistical validity, are not as reliable; Nate Silver on 3 Keys to Great Information Design; Keep this #Python Cheat Sheet handy when learning to code; 8 Steps to Becoming a #DataScientist.
on Dec 27, 2014 in Cheat Sheet, Data Science Education, Nate Silver, P-value, Python
Top KDnuggets tweets, Dec 24-25: 24 Data Science, Machine Learning Resources; Pregnant women can guess their children sex
Pregnant women can intuit the sex of their children; #Pig and #Python can't fly but can predict Airline delays; 24 #DataScience, #Statistics, #MachineLearning Resources; The 50 Most Innovative CS Depts in USA.
on Dec 26, 2014 in Airlines, CAPTCHA, Crunchbase, Hadoop, MIT, Pregnancy, Python, Stanford
Interview: Mac Devine, CTO, IBM Cloud on the Conflux of Cloud, IoT & Big Data
We discuss the implications of Cloud Speed of technological advancement, significant trends in Internet of Things (IoT), future of cloud computing and more.
on Dec 26, 2014 in Advice, Cloud Computing, IBM, Innovation, Interview, IoT, Mac Devine, Trends
Stanford’s AI100: Century-Long Study on Effects of Artificial Intelligence on Human Life
Stanford unveils new 100 year study on the impact of artificial intelligence, particularly on democracy, privacy, the military. Surprisingly, perspectives from outside the AI community are absent from the initial panel.
on Dec 26, 2014 in Artificial Intelligence, Deep Learning, DeepMind, Demis Hassabis, Eric Horvitz, Stanford, Zachary Lipton
BIME Business Intelligence Predictions for 2015
Business intelligence in 2015 will see greater social media involvement, data mining applications, health data analysis, data-driven drones, and BI in the cloud.
on Dec 26, 2014 in Business Intelligence, Cloud Analytics, Data Mining, Health, Predictions for 2015, Social Analytics
Interview: Mac Devine, CTO, IBM Cloud on the Fast Approaching Perfect Storm
We discuss why we should anticipate a technology perfect storm soon, Enterprise IT challenges, distinct capabilities of IBM BlueMix and more.
on Dec 24, 2014 in Big Data, BlueMix, Challenges, Cloud Computing, IBM, Interview, IoT, Mac Devine
Hot or Not: Data Science Trends in 2015
CrowdFlower infographic predicts the hot trends for data science in 2015 and which trends will fade away.
on Dec 24, 2014 in CrowdFlower, Data Democratization, Data Science, Infographic, Predictions for 2015, Social Good, Trends
Top KDnuggets tweets, Dec 22-23: Great list: 20 new data viz tools of 2014; Review of “Learning from Data” MOOC
Review of #MOOC Learning from Data (#MachineLearning) - the class that changed everything; #DeepLearning is like Renormalization: deep link between physics, biology, ML; Great list: 20 new #data #viz tools of 2014; "Back to the drawing board" - first appeared in New Yorker cartoon in 1941.
on Dec 24, 2014 in Benford's Law, Cartoon, Data Visualization, Deep Learning, MOOC, Physics
Low-cost Salford Hands-On Data Mining Mini Training, Jan 23, Phoenix
Attend this training and you will walk away with the models you create, ready to start your own data mining projects.
on Dec 24, 2014 in Data Mining Training, Hands-On, Phoenix-AZ, Salford Systems
KDD-2015 Call for Papers, Workshop Proposals
KDD-2015, the premier research conference on Data Mining and Data Science, invites submissions of research papers, practice track papers, workshop proposals.
on Dec 23, 2014 in Australia, KDD-2015, Sydney, Workshops
The Big Data of Wearables
Wearables are becoming more common, creating real-time demands on the data-driven systems behind them for applications like forecasting and recommender systems.
on Dec 23, 2014 in Big Data, Internet of Things, Wearables
Top KDnuggets tweets, Dec 15-21: Cartoon: Unexpected Machine Learning Recommendations; Data Science at the Command Line
KDnuggets Cartoon: Unexpected #MachineLearning Recommendations for holidays; Review: #DataScience at the Command Line - great book; 4 questions that reveal whether you have the hottest job skill of 2014; Why #Amazon Ratings Might Mislead You: Herding Effects.
on Dec 22, 2014 in Alibaba, Amazon, Bitcoin, Cartoon, Data Science, Skills
UIC Big Data Symposium, Chicago, Mar 17, 2015
Chicago will host a BIG Data Symposium, focusing on the innovative ways of solving business challenges with BIG Data, Emerging Capabilities, Social Network Analytics and Visual Analytics.
on Dec 22, 2014 in Big Data, Chicago-IL, Teradata, UIC
DIY Crawlers vs. Crawlers as Service
Crawling structured data from the web has been made easier with the choice between crawlers as a service, like webhose.io, and do-it-yourself, like import.io.
on Dec 22, 2014 in Big Data Services, Crawler, Data Preparation, import.io, Spider, Webhose.io
FICO Chief Analytics Officer Sees a Post–Big Data World in 2015
Predictive analytics and the Big Data that fuels it become deeply and broadly embedded in business and society – no longer a phenomenon but widely accepted as part of the foundation. Here are a few of his predictions for the coming year.
on Dec 21, 2014 in Andrew Jennings, FICO, Predictions for 2015, Security
“Vite fait, bien fait” – Averaging improves both accuracy and speed of time series classification
Time series classification using k-nearest neighbors and dynamic time warping can be improved in many practical applications in both speed and accuracy using averaging.
on Dec 21, 2014 in Classification, Francois Petitjean, ICDM, IEEE, Time Series
2015 Predictions: What will happen to big data and data science?
What’s next in the world of big data? Commonplace terms begin to vanish as businesses put an increased emphasis on the predictive and prescriptive analytics needed to drive value.
on Dec 21, 2014 in Big Data, Chief Data Officer, Data Governance, Data Science, Predictions for 2015, Prescriptive Analytics
Top stories for Dec 14-20: Most Demanded Data Science/Data Mining Skills; Watson Analytics vs. Azure Machine Learning
Most Demanded Data Science and Data Mining Skills; IBM Watson Analytics vs. Microsoft Azure Machine Learning; Cartoon: Unexpected Data Science Recommendations; 16 NoSQL, NewSQL Databases To Watch.
on Dec 21, 2014 in Azure ML, Cartoon, Data Science Skills, IBM Watson, NewSQL, NoSQL, Top stories
Interview: Brian Hampton, SF 49ers on Competitive Edge through Football Analytics
We discuss the shortcomings of football analytics, how San Francisco 49ers use analytics, future of football analytics, advice and more.
on Dec 20, 2014 in Analytics, Brian Hampton, Challenges, Coaching, Competition, Football, Interview, NFL, Sports, Team
Consulting Request: Analyze Share Economy vertical
Looking for a data scientist to help analyze mined data of several companies in the share economy vertical.
on Dec 20, 2014 in Consulting
BabelNet 3.0, Large Multilingual Dictionary and Semantic Network
BabelNet 3.0 covers 271 languages, and offers brand-new user interface, Improved accuracy of seamless integration of WordNet, Open Multilingual WordNet, Wikipedia, OmegaWiki, Wikidata and Wiktionary, around 2 billion RDF triples available via a public SPARQL endpoint.
on Dec 20, 2014 in BabelNet, RESTful API, Text Mining, Wikidata
Eric Siegel vs Stephen Hawking on the risk of artificial intelligence
Eric Siegel comments on current controversy whether AI is a threat to human race, says AI is safe. Whether you agree or not, vote in KDnuggets Poll: Is AI a threat?
on Dec 19, 2014 in Artificial Intelligence, Eric Siegel, Humans vs Machines, Stephen Hawking, Threat to Humanity
Top KDnuggets tweets, Dec 17-18: Why Amazon Ratings Might Mislead You; Open Source Tools for Machine Learning
Why #Amazon Ratings Might Mislead You: The Story of Herding Effects; Open Source Tools for Machine Learning; #DeepLearning Intelligence Platform - Addressing AML #Terrorism #Financing; #NIPS2014 #MachineLearning Trends: Rapid progress in #DeepLearning.
on Dec 19, 2014 in Amazon, Deep Learning, NIPS, Open Source, Recommendations, Terrorism
Interview: Brian Hampton, San Francisco 49ers on Playing Football the Analytics Way
We discuss the role of analytics in football, the underrated challenges, evolution since the era of draft trade value chart and analytics-supported team selection.
on Dec 19, 2014 in Analytics, Brian Hampton, Challenges, Coaching, Competition, Football, NFL, Sports, Team
Data Mining (and Statistical Analysis) is LinkedIn Hottest Skill in 2014
Data Mining was LinkedIn Hottest Skill in 2014, moving up from number 5 in 2013. Top locations for "data mining" skill were US, India, Australia, and Canada, while top companies were IBM, Microsoft, Google, and Accenture.
on Dec 18, 2014 in About Gregory Piatetsky, Data Mining, LinkedIn, Skills
Interview: Peter Alvaro, UC Berkeley, on Managing Asynchrony and Partial Failure
We discuss the challenges in simultaneously managing asynchrony and partial failure, the problem of composition, research motivation, trends and more.
on Dec 18, 2014 in Challenges, Cloud, Peter Alvaro, Programming Languages, Recommendations, Trends, UC Berkeley
Data Analytics for Government, Wash. DC, Feb 23-25: Keynotes
The DAW for Government team is proud to announce keynote speakers: Hemanth Setty (CIO, Recovery Accountability and Transparency Board) and Kenneth Nesbit, Associate CIO, US Treasury.
on Dec 18, 2014 in Data Analytics, Government, IQPC, Washington-DC, White Paper
Top KDnuggets tweets, Dec 15-16: KDnuggets Cartoon: Unexpected Machine Learning Recommendations
KDnuggets Cartoon: Unexpected Machine Learning Recommendations; Review: #DataScience at the Command Line - great book; Most Demanded Data Science and Data Mining Skills; The problem is that many ML researchers are not working on on most impactful areas.
on Dec 17, 2014 in Book, Cartoon, Data Science, Data Science Skills, Jeremy Howard, Recommendations
Interview: Peter Alvaro, UC Berkeley, on Consistency Challenge in Distributed Systems
We discuss the performance limitations caused by treating datastore as black box, consistency as an application-level property, Dedalus and LDFI approach for testing.
on Dec 17, 2014 in Consistency, Data, Databases, Distributed Systems, NoSQL, Peter Alvaro, UC Berkeley
Open Source Tools for Machine Learning
Open source machine learning software makes it easier to implement machine learning solutions on single computers and at scale, and the diversity of packages provide more options for implementers.
on Dec 17, 2014 in Free Data Mining Software, Free Software, Open Source, scikit-learn, Weka
New RapidMiner Streams Simplifies Analytics on Apache Storm
Streaming RapidMiner product accompanies additional releases of core platform which now include Qlik, Solr, and Mozenda connectors.
on Dec 17, 2014 in Apache Storm, RapidMiner, Stream Mining
KDnuggets 14:n34, Is AI a threat? Most Demanded Skills; Cartoon: Unexpected recommendations; Watson vs Azure ML
New Poll: Is AI a threat to humanity? Most Demanded Data Science Skills; Cartoon: Unexpected recommendations; IBM Watson vs Microsoft Azure Machine Learning and more Analytics, Big Data, Data mining, and Data Science stories.
on Dec 17, 2014 in AI, Azure ML, Cartoon, IBM Watson
Top KDnuggets Analytics, Big Data, Data Science stories in 2014
Top KDnuggets stories in 2014 had several themes - Deep Learning; Data Scientist career, education, and salary; Resources for learning Data Science, especially R and Python, and polls on popular languages for data science and data mining.
on Dec 16, 2014 in Analytics Languages, Cartoon, Data Scientist, Deep Learning, IBM Watson, Python, R, Top stories, Yann LeCun
Cartoon: Unexpected Data Science Recommendations
New KDnuggets cartoon examines an unexpected shopping recommendation from Big Data and machine learning algorithms.
on Dec 16, 2014 in Cartoon, Machine Learning, Python, Recommendations
Spatial Data Platform from SpaceCurve for Real-Time Operational Intelligence
SpaceCurve Spatial Data Platform will deliver strong spatial and temporal analytics capabilities. SpaceCurve CEO Dane Coyer and CTO Andrew Rogers tell us more.
on Dec 16, 2014 in Andrew Rogers, Big Data, Dane Coyer, IoT, Real-time, SpaceCurve, Spatial
IBM Watson Analytics vs. Microsoft Azure Machine Learning (Part 1)
IBM Watson Analytics prototype seeks to abstract away data science, taking ordinary natural language queries and answering them based on the content of uploaded datasets. Microsoft Azure Machine Learning goes the opposite route, streamlining existing data mining methodology for fast results and integration with MS's other cloud services.
on Dec 16, 2014 in Azure ML, Cloud Analytics, Data Mining Software, IBM Watson, Zachary Lipton
National Data Science Bowl: Predict Ocean Health
Enter the 1st ever National Data Science bowl, with 175K in prizes and build an algorithm to automate the plankton image identification across 100+ classes. Plankton are critically important to ecosystem, but traditional methods for measuring their populations are time consuming and cannot scale for large-scale studies.
on Dec 16, 2014 in Booz Allen, Competition, Image Recognition, Kaggle, Social Good
8 Things to Check when you analyze Twitter data
A review of biases and issues on large scale studies of human behavior in social media discussed by a recent paper published on Science.
on Dec 16, 2014 in Data Analysis, Science, Social Media, Twitter
Analyze And Visualize Chatter from Nigeria Elections 2015
A visual listening open data platform helps to see the chatter around upcoming Nigeria 2015 election – facts, ideas, topics, issues, statistics, queries – in a bare minimum of words and beautiful imagery.
on Dec 16, 2014 in Chatter, Elections, Nigeria, Visualization
16 NoSQL, NewSQL Databases To Watch
NoSQL and NewSQL databases have become much more important with the proliferation of big, mobile, and networked data, and these sixteen database solutions are some of the biggest up-and-comers.
on Dec 15, 2014 in Hadoop, InformationWeek, MongoDB, NoSQL, Oracle, VoltDB
Upcoming Webcasts on Analytics, Big Data, Data Science – Dec 16 and beyond
Top Data Science Trends for 2015, How EAT Club is using analytics, Data Mining: Failure To Launch, and more.
on Dec 15, 2014 in In-Database, Informatica, Predictions for 2015
Top KDnuggets tweets, Dec 7-14: Google new CAPTCHA trains #AI; Random Forests, SVM give best results
Which one is the bunny? Google new CAPTCHA bot-trap trains #AI; O'Reilly Data Scientist Salary and Tools Survey 2014; Microsoft brings the power of #MachineLearning to Office Online; 10 Data Science Newsletters to Subscribe to.
on Dec 15, 2014 in CAPTCHA, Data Science Skills, Google, Machine Learning, Microsoft, random forests algorithm, Salary, SVM
Most Demanded Data Science and Data Mining Skills
Our analysis of most demanded data scientist skills shows that Data Science is a team effort focused on business analytics, with top 5 platform skills being SQL, Python, R, SAS, and Hadoop.
on Dec 15, 2014 in Data Science Skills, Data Scientist, Hadoop, New York-NY, Python, R, SAS, Skills, SQL
Open Innovation in the Age of Big Data
Open platforms for data analysis are more important than ever with big data and increasing access to heterogeneous data sources for analysts.
on Dec 15, 2014 in Big Data, Innovation, Knime, Open Analytics
Our Iceberg is Melting.. Now where is that Data Scientist?
Marketing analytics teams could improve their effectiveness by employing a marketing effectiveness strategy similar to that used by penguins dealing with their iceberg melting.
on Dec 15, 2014 in Data Scientist, Debleena Roy, Market Analytics, Marketing
Open Source Big Data Analytics Platform
Download IKANOW open source analytics platform for FREE and start analyzing structured and unstructured data sources. Great for cyber, social, and crisis use cases.
on Dec 14, 2014 in Big Data Analytics, Elasticsearch, IKANOW, MongoDB, Open Source
KDnuggets Interview: Paul Zikopoulos, IBM on Big Data Opportunities and Challenges
We discuss the value of Big Data for SMBs, how Cognitive will impact Big Data, IBM’s distinction from competition, significant trends and more.
on Dec 14, 2014 in Big Data, Big Data Hype, Business, Challenges, IBM, Opportunities, Paul Zikopoulos, Trends
Top stories for Dec 7-13: Where Analytics, Data Mining, Data Science is Applied; Neural Networks, Brain, and Machine Learning
If programming languages were vehicles, what would be R, Python, SAS, and SQL?; Tableau Top 10 Trends in BI for 2015; Where Analytics, Data Mining, Data Science is applied; Geoff Hinton AMA: Neural Networks, the Brain, and Machine Learning.
on Dec 14, 2014 in Business Intelligence, Geoff Hinton, Industries, Programming Languages, Top stories
KDnuggets Interview: Paul Zikopoulos, IBM on Why Big Data needs Polyglots
We discuss why not to focus on a single technology in Big Data, prevalent myths, what IBM & Twitter partnership means for the world, and current state of data governance.
on Dec 13, 2014 in Big Data, Hadoop, IBM, Interview, MapReduce, NoSQL, Paul Zikopoulos, Social Analytics, Twitter
Top KDnuggets tweets, Dec 10-11: Which one is the bunny? Google new CAPTCHA trains AI; Big Data in 2015: Security, #IoT, data markets
Which one is the bunny? Google new CAPTCHA trains #AI; Data Scientist Salary/Tools Survey finds #BigData scientists earn more; Microsoft brings the power of #MachineLearning to Office Online; Visual Sentiment Analysis: Researchers train #NeuralNets to rate images for #Happiness.
on Dec 12, 2014 in AI, Big Data Market, CAPTCHA, Google, Image Recognition, Microsoft, Salary
New Poll: Will Artificial Intelligence be a threat to Humanity?
New KDnuggets Poll is asking - Will Artificial Intelligence be a threat to Humanity? Please vote if you are human.
on Dec 12, 2014 in AI, Artificial Intelligence, Humans vs Machines, Poll, Stephen Hawking, Threat to Humanity
2015 Predictions – What’s Next for Data Scientists?
What’s next for data scientists in 2015 - new areas they will focus on - cyber threats to fraud detection - and how the expectations for this profession will change.
on Dec 12, 2014 in Data Science Skills, Data Scientist, EXASOL, Predictions for 2015
IIA 2015 Analytics Predictions
Highlights and discussion from IIA 2015 Analytics Predictions webinar, including Storytelling will be the hot new job in analytics; companies double investment in generating NEW and UNIQUE data, and how does one become an expert if entry-level work is automated?
on Dec 11, 2014 in IIA, Predictions for 2015, Privacy, Storytelling, Tom Davenport
November 2014 Analytics, Big Data, Data Mining Acquisitions and Startups Activity
November 2014 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: Target buys Powered Analytics, Ve buys qunb, Sentient raises 100M+, Galvanize buys Zipfian Academy, Intel backs 16 startups.
on Dec 11, 2014 in Intel, Sentient, Startups, Target
Interview: Daqing Zhao, Macys.com on Building Effective Data Models for Marketing
We discuss the challenges in identifying the fair price of ad media, recommendations for building effective models for online marketing, unique challenges of Mobile channel, selection of Big Data tools, and more.
on Dec 11, 2014 in Daqing Zhao, Data Models, Data Science Skills, Hadoop, Interview, Macy's, Marketing, Mobile, Tools
FICO Analytics Competition: Helping Santa Helpers
FICO is sponsoring a Kaggle competition to optimize Santa's scheduling algorithm. Competitors can win in multiple categories and the best solution using FICO Xpress Optimization Suite will receive a special prize.
on Dec 11, 2014 in Competition, FICO, Kaggle, Optimization, Santa, Scheduling
VentureBeat Webinar, Dec 16: How EAT Club is using analytics to grow their business
Get an overview of how organizations are using data analytics today for better forecasting and more. See how modern data exploration tools, like Looker, are faster, more agile and easier to use by all people in an organization.
on Dec 10, 2014 in EAT Club, Looker, VentureBeat
Top KDnuggets tweets, Dec 8-9: On the effects Analytics bring to enterprises; Use IBM #WatsonAnalytics to Crunch Data For Free
On the effects Analytics bring to enterprises; Anyone Can Now Use IBM #WatsonAnalytics to Crunch Data For Free; Economists are NOT nonpartisan - @FiveThirtyEight quantifies their bias; Geoff Hinton AMA: Neural Networks, the Brain, and Machine Learning.
on Dec 10, 2014 in Alan Turing, FiveThirtyEight, Geoff Hinton, IBM Watson, KPMG, Pinterest, Python, scikit-learn
Interview: Daqing Zhao, Macys.com on Advanced Analytics for Marketing in the Big Data era
We discuss Analytics at Macys.com, comparison of advanced analytics with traditional BI, building data models for scalability, problem of data models becoming quickly obsolete and challenges in customer targeting.
on Dec 10, 2014 in Advanced Analytics, Audience targeting, BI, Challenges, Customer Analytics, Daqing Zhao, Data Models, Interview, Macy's
Australia Analytics Professionals Skills and Salary Report
The Institute of Analytics Professionals has published a report showing that in Australia data science recruitment is challenging, salaries are high, social analytics is hot, and there are business challenges that analysts face.
on Dec 10, 2014 in Australia, Data Science Skills, Salary, Skills, Social Analytics
KDnuggets 14:n33, Where Analytics, Data Mining, Data Science is applied; Top trends for 2015
Also: If programming languages were vehicles, what would be R, Python, SAS, and SQL? 2nd look at Geoff Hinton AMA; Stop ignoring your text data, and more Analytics, Data mining, and Data Science stories.
on Dec 10, 2014 in Geoff Hinton, Industries, Poll, Programming Languages
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 Dec 9, 2014 in Data Mining Training, Las Vegas-NV, Orlando-FL, TMA, Washington-DC
Geoff Hinton AMA: Neural Networks, the Brain, and Machine Learning
In a wide-ranging Q&A, Geoff Hinton addresses the future of deep learning, its biological inspirations, and his research philosophy.
on Dec 9, 2014 in Backpropagation, Deep Learning, Geoff Hinton, Michael Jordan, Neural Networks, Neuroscience, Zachary Lipton
PAW: Unwrap Holiday Cheer for Big Data
Get super early bird pricing for PAW and TAW conferences in San Francisco, March 2015, get expert insights at PAW Business, cutting edge keynotes at PAW workforce and more.
on Dec 9, 2014 in PAW, Predictive Analytics World, San Francisco-CA, Text Analytics
Lexalytics: Stop ignoring your text data
Have a bunch of open-ended questions that need analyzing? Curious about social media? Want to track online reviews? Try Lexalytics Semantria Web Service - first 20k documents analyzed free.
on Dec 9, 2014 in Lexalytics, Semantria, Text Classification, Text Mining
Where Analytics, Data Mining, Data Science is applied
CRM/Consumer analytics, Banking, and Health care are the most popular industries, but also joined by new sectors including Oil / Gas / Energy, Automotive, and HR/workforce analytics.
on Dec 9, 2014 in Applications, Banking, Consumer Analytics, Data Mining, Data Science, Healthcare, Industry, Poll
Webinar: Data Mining: Failure to Launch [Dec 17]
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 Dec 17.
on Dec 9, 2014 in Data Mining, Failure to Launch, TMA
Top KDnuggets tweets last week, Dec 1-7: Hilarious ! If programming languages were vehicles; Big Data Scientists have the highest salaries
Hilarious! If programming languages were vehicles; Data Scientists who know #BigData tools have the highest salaries; How Google "Translates" Pictures Into Words Using #DeepLearning; Scary! Change in temperature in Netherlands over the last century.
on Dec 8, 2014 in Apache Spark, Deep Learning, Google, Image Recognition, Programming Languages, Salary
Upcoming Webcasts on Analytics, Big Data, Data Science – Dec 9 and beyond
Correlation Using Spark/Hadoop, 2015 Predictions, Big Data Landscape, The Key to Big Data Analytics, in-memory Data Fabric, ask SAP, Data Mining: Failure To Launch, and more.
on Dec 8, 2014 in Big Data Analytics, Predictions for 2015
Simplilearn Big Data and Analytics courses, 30% off
Keep pace with the competition - upgrade your Big Data and Analytics skills with Simplilearn online courses in Cloud computing, Hadoop, SAS, R and more, now 30% off until Dec 31, 2014.
on Dec 8, 2014 in Certificate, Cloud Computing, Hadoop, Online Education, R, SAS, SAS Certification, Simplilearn
Top stories for Nov 30 – Dec 6: Hinton on Deep Learning, Google and AI; Top 10 Big Data companies
Geoff Hinton talks about Deep Learning, Google and Everything; Top 10 Big Data Companies by Revenue; Big Data Top Trends in 2015; Sisense 2015 predictions for BI, Big Data.
on Dec 7, 2014 in Big Data Market, Deep Learning, Geoff Hinton, Sisense, Top 10, Top stories
If programming languages were vehicles, what would be R, Python, SAS, and SQL?
We expand on the idea "If programming languages were vehicles" and examine what would be the main languages for data science: R, Python, SAS, and SQL?
on Dec 6, 2014 in Programming Languages, Python, R, SAS, SQL
Tableau Top 10 Trends in Business Intelligence for 2015
Tableau Software presents its top 10 trends in business intelligence in 2015, including transformed data governance, improved social intelligence, and organizational analytics.
on Dec 6, 2014 in Business Intelligence, Cloud Analytics, Data Governance, Data journalism, Mobile, Predictions for 2015, Tableau
Zicari: Big Data: A Data-Driven Society
Roberto Zicari talk at Stanford reviews how Big Data is enabling a data-driven economy, examines 3 Big Data research challenges, and makes a case for Big Data for Social Good.
on Dec 6, 2014 in Big Data, Roberto Zicari, Social Good
Top KDnuggets tweets, Dec 3-4: Google funds Automatic Statistician project; Data Science Ontology, visualized
Data Science Ontology, visualized; Holiday Gift Ideas for the Data & Statistically Interested; Google funds "Automatic Statistician" project; Nice Tutorial for R learners.
on Dec 5, 2014 in AI, Data Science, Gmail, Google, Holiday Gifts, Ontology, R, Tutorial
Mode Playbook for Open Source Analytics
Mode Analytics is open-sourcing their internal analysis and data visualizations which can be tailored to common data structures in SQL databases.
on Dec 5, 2014 in Churn, Mode Analytics, Open Data, Open Source, SQL
SBP15 Grand Data Challenge
Use social media analytics on public data to help analyze and explore social inequality and aid the disadvantaged in SBP15 Grand Data Challenge. Submissions due Jan 20.
on Dec 5, 2014 in Challenge, Conference, Datasets, Social Media
Data Scientist: Owning Up to the Title
Regardless of how Data Science or Data Scientist is defined, if you are going to use the word "scientist" in your title, you are going to be held accountable for it.
on Dec 5, 2014 in Career, Data Science Skills, Data Scientist, Salary, Sean McClure
Research Challenge: 2015 ACM India SIGKDD Conference on Data Sciences
For the 2015 ACM India SIGKDD challenge data scientists are tasked with using social media and traffic data in the form of text, images, and video to track traffic movement in an effort to improve traffic management. Jan 15 Deadline.
on Dec 5, 2014 in ACM, Challenge, India, SIGKDD, Traffic
Interview: Igor Elbert, Gilt on Boosting Sales through Analytics-curated Shopping
We discuss Analytics at Gilt, unique Analytics challenges of a flash sales portal, consumer behavior across channels, interesting insights, advice and more.
on Dec 4, 2014 in Advice, Big Data, Consumer Analytics, Curation, Gilt, Insights, Mobile, Personalization, Sales
Top stories in November: 9 Must-Have Skills for a Data Scientist; IBM Watson Analytics replacing a data scientist?
9 Must-Have Skills You Need to Become a Data Scientist; IBM Watson Analytics - Will it Replace Data Scientists ? Update: Top LinkedIn Groups for Big Data, Data Mining, Data Science; R and Hadoop make Machine Learning Possible for Everyone.
on Dec 4, 2014 in Data Science Skills, IBM Watson, LinkedIn Groups, Machine Learning, Top stories
SlamData Open Source Analytics Tool for MongoDB
SlamData is an open source SQL-based tool designed to make accessing data in MongoDB easy for developers and non-developers alike with the goal of making application intelligence easier.
on Dec 4, 2014 in MongoDB, NoSQL, Open Source, SlamData, SQL
EMC: Big Data, Data Science Courses, up to 57% off
EMC offers industry-leading training and certification in Big Data, Hadoop, and Data Science. Get up to 57% off original price - offer ends Dec 22.
on Dec 4, 2014 in Data Science Education, EMC, Hadoop, Online Education
Top KDnuggets tweets, Dec 1-2: Hilarious: If programming languages were vehicles; How Google Translates Pictures Into Words
Hilarious: If programming languages were vehicles; How Google "Translates" Pictures Into Words Using #DeepLearning, #BigData; Change in temperature in Netherlands over the last century; Forbes 50 Most Innovative Companies 3x more likely to use #BigData Analytics.
on Dec 3, 2014 in Deep Learning, Google, Image Recognition, Programming Languages
Sisense 2015 predictions for BI, Big Data
Mobile devices, text analytics, Google Glass, and data intelligence will be key to the evolution of business intelligence in 2015 according to Adi Azaria and Eldad Farkash of SiSense.
on Dec 3, 2014 in BI, Google Glass, Mobile, Predictions, Predictions for 2015, Sisense
KDnuggets 14:n32, On Deep Learning, Google and AI; Top SlideShare on Data Science
KDnuggets Analytics, Big Data, Data mining, and Data Science stories, including Features, Software, Opinions, News, Webcasts, Courses, Meetings, Jobs, Academic, Publications, Tweets, and CFP.
on Dec 3, 2014 in
WordStat 7: Shifting Text Analytics Into High Gear
WordStat 7 lets users get valuable and actionable insights from text faster, connect unstructured and structured information, and provides better help for the creation and validation of accurate text-categorization dictionaries.
on Dec 2, 2014 in Provalis, Text Analytics, Text Classification, WordStat
Practical Machine Learning for Engineers, New York, Jan 19-21
Learn the fundamental concepts of machine learning by working on a dataset of moderate size, using open source software tools. Special KDnuggets discount.
on Dec 2, 2014 in Machine Learning, New York-NY, Python
Upcoming Dec – May Meetings in Analytics, Big Data, Mining, Data Science
Coming soon: TDWI Orlando, IEEE ICDM, Big Data Las Vegas, INFORMS, EGC, IKDD, PAW San Francisco, PAW for Workforce, Big Data TechCon, and more.
on Dec 2, 2014 in Brussels-Belgium, London-UK, San Diego-CA, San Francisco-CA
PAW: Predictive Analytics World for Workforce, San Francisco
Co-located with Predictive Analytics World for Business, Text Analytics World, the new PAW Workforce has an engaging program with keynotes from top experts, useful sessions, and leading-edge workshops.
on Dec 2, 2014 in Greta Roberts, PAW, Predictive Analytics World, San Francisco-CA, Workforce Analytics
Northwestern Online MS in Predictive Analytics
Build in-demand skills for the growing analytics field, prepare for leadership-level career opportunities, and learn from distinguished Northwestern faculty with Online MS in Predictive Analytics.
on Dec 2, 2014 in Master of Science, MS in Analytics, Northwestern, Online Education, Predictive Analytics
Top 10 Big Data Companies by Revenue
IBM, HP, Dell, and SAP lead the list of Big Data companies with the most revenue from big data hardware, software, and IT services.
on Dec 1, 2014 in Big Data Vendors, Dell, HP, IBM, Revenue, SAP, SAS, Top 10, Wikibon
Top KDnuggets tweets, Nov 24-30: How Word Meanings Change; Data wrangling with R: Things I wish I’d been told
Linguistic Mapping Reveals How Word Meanings Sometimes Change Overnight; Practical #DataScience Cookbook, helps data practitioner; Facebook #AI team hires Vladimir Vapnik, father of #SVM; Starting data analysis/wrangling with R: Things I wish I'd been told.
on Dec 1, 2014 in Big Data, Book, Data Science, Facebook, R, Text Analytics, Vladimir Vapnik
Geoffrey Hinton talks about Deep Learning, Google and Everything
A review of Dr. Geoffrey Hinton’s Ask Me Anything on Reddit. He talked about his current research and his thought on some deep learning issues.
on Dec 1, 2014 in Deep Learning, DeepMind, Geoff Hinton, Google, Neural Networks, Reddit, Yann LeCun
Upcoming Webcasts on Analytics, Big Data, Data Science – Dec 2 and beyond
NoSQL Database Architecture, Big Data Use Cases, IBM Watson Analytics, The 2015 Predictions, Big Data Landscape, and more.
on Dec 1, 2014 in IBM Watson, NoSQL, Predictions for 2015
Additions to KDnuggets Directory in November
TDWI Orlando, Big Data Innovation Summit Las Vegas, Oracle BIWA Summit, Text Analytics World SF, and more meetings, education, and software in Analytics, Big Data, Data Mining, and Data Science.
on Dec 1, 2014 in Data Science Education, Las Vegas-NV, Workforce Analytics