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Features | Software | Opinions | Interviews | News | Webcasts | Courses | Meetings | Jobs | Academic | Tweets | CFP | Quote

Features

• Where Analytics, Data Mining, Data Science is applied - Dec 9, 2014.
  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.
• If programming languages were vehicles, what would be R, Python, SAS, and SQL? - Dec 6, 2014.
  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?
• Geoff Hinton AMA: Neural Networks, the Brain, and Machine Learning - Dec 9, 2014.
  In a wide-ranging Q&A, Geoff Hinton addresses the future of deep learning, its biological inspirations, and his research philosophy.
• PAW: Unwrap Holiday Cheer for Big Data - Dec 9, 2014.
  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.

Software

• Lexalytics: Stop ignoring your text data - Dec 9, 2014.
  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.
• Mode Playbook for Open Source Analytics - Dec 5, 2014.
  Mode Analytics is open-sourcing their internal analysis and data visualizations which can be tailored to common data structures in SQL databases.
• SlamData Open Source Analytics Tool for MongoDB - Dec 4, 2014.
  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.

Opinions

• Tableau Top 10 Trends in Business Intelligence for 2015 - Dec 6, 2014.
  Tableau Software presents its top 10 trends in business intelligence in 2015, including transformed data governance, improved social intelligence, and organizational analytics.
• Sisense 2015 predictions for BI, Big Data - Dec 3, 2014.
  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.
• Data Scientist: Owning Up to the Title - Dec 5, 2014.
  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.

Interviews

• Interview: Igor Elbert, Gilt on Boosting Sales through Analytics-curated Shopping - Dec 4, 2014.
  We discuss Analytics at Gilt, unique Analytics challenges of a flash sales portal, consumer behavior across channels, interesting insights, advice and more.

News

• Top stories for Nov 30 - Dec 6: Hinton on Deep Learning, Google and AI; Top 10 Big Data companies - Dec 7, 2014.
  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.
• Zicari: Big Data: A Data-Driven Society - Dec 6, 2014.
  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.
• SBP15 Grand Data Challenge - Dec 5, 2014.
  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.
• Research Challenge: 2015 ACM India SIGKDD Conference on Data Sciences - Dec 5, 2014.
  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.
• Top stories in November: 9 Must-Have Skills for a Data Scientist; IBM Watson Analytics replacing a data scientist? - Dec 4, 2014.
  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.

Webcasts and Webinars

• Webinar: Data Mining: Failure to Launch [Dec 17] - Dec 9, 2014.
  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.
• Upcoming Webcasts on Analytics, Big Data, Data Science - Dec 9 and beyond - Dec 8, 2014.
  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.

Courses

• TMA Predictive Analytics Data Mining Training [Orlando, Feb | Las Vegas, May] - Dec 9, 2014.
  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).
• Simplilearn Big Data and Analytics courses, 30% off - Dec 8, 2014.
  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.
• EMC: Big Data, Data Science Courses, up to 57% off - Dec 4, 2014.
  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.

Meetings

• PAW: Unwrap Holiday Cheer for Big Data - Dec 9, 2014.
  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.

Jobs

• Clear Capital: Data Scientist - Dec 8, 2014.
  Your role as the data scientist is a hybrid role that can solve client problems that are ambiguous, seemingly impossible yet in your reach.
• Apple: Text Mining Analyst, Retail - Online - Dec 7, 2014.
  Design, develop, and field unstructured data analyses that have direct and measurable impact to the management of the Apple Online and Retail Stores.
• Apple: Senior Data Scientist, Retail - Online - Dec 7, 2014.
  Design, develop, and field analyses that have direct and measurable impact to the management of the Apple Online and Retail Stores.
• Dstillery: Data Scientist - Dec 4, 2014.
  Dstillery is a tech pioneer that uses sophisticated analytics and data-based insights to help advertisers realize the potential of digital media.

Academic and Research positions

• U. IOWA: Faculty, Business Analytics (Tenure Track) - Dec 3, 2014.
  Open rank tenure track position in business analytics starting in Fall 2015, with focus on data science, data mining, text/web/social media analytics, and data visualization.

Top Tweets

• Top KDnuggets tweets last week, Dec 1-7 - Dec 8, 2014.
  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.
• Top KDnuggets tweets, Dec 3-4 - Dec 5, 2014.
  Data Science Ontology, visualized;
  Holiday Gift Ideas for the Data & Statistically Interested;
  Google funds "Automatic Statistician" project;
  Nice Tutorial for R learners.
• Top KDnuggets tweets, Dec 1-2 - Dec 3, 2014.
  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.

CFP - Calls for Papers

• Due Jan 4, ECMLPKDD Journal Track, The European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases , Porto, Portugal. Sep 7-11, 2015
• Due Jan 9, Predictive Analytics World for Manufacturing , Chicago, IL. Jun 8-11, 2015 (Speaker days June 9-10)
• Due Jan 9, Predictive Analytics World Business Chicago , Chicago, IL. Jun 8-11, 2015 (Speaker days June 9-10)
• Due Jan 15, Special Issue on Neural Network Learning in Big Data , GUEST EDITORS: Asim Roy et al
• Due Mar 1, MACHINE LEARNING JOURNAL, Special issue on Dynamic Networks and Knowledge Discovery , Guest editors: Rushed Kanawati et al
• Due Mar 2, ECMLPKDD Tutorials: The European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases , Porto, Portugal. Sep 7-11, 2015
• Due Mar 2, ECMLPKDD Workshops: The European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases , Porto, Portugal. Sep 7-11, 2015
• Due Mar 20, Predictive Analytics World for Healthcare , Boston, MA. Sep 27 - Oct 1, 2015 (Speaker days Sep 28-29)
• Due Mar 20, Predictive Analytics World for Business , Boston, MA. Sep 27 - Oct 1, 2015 (Speaker days Sep 28-29)
• Due Mar 24, WIMS 2015: 5th Int. Conf. on Web Intelligence, Mining and Semantics , Limassol, Cyprus. Jul 13-15, 2015
• Due Mar 26, ECMLPKDD Industry Track: The European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases , Porto, Portugal. Sep 7-11, 2015
• Due Mar 26, ECMLPKDD Research Track: The European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases , Porto, Portugal. Sep 7-11, 2015

Quote

"I think the success of deep learning gives a lot of credibility to the idea that we learn multiple layers of distributed representations using stochastic gradient descent. However, I think we are probably a long way from understanding how the brain does this." Geoff Hinton, Geoff Hinton AMA: Neural Networks, the Brain, and Machine Learning