KDnuggets 16:n32: Data Scientist was sexiest job until…; Up to Speed on Deep Learning
Gregory Piatetsky-Shapiro
Gregory Piatetsky-Shapiro
Part-time philosopher, Retired, Data Scientist, KDD and KDnuggets Founder, was LinkedIn Top Voice on Data Science & Analytics. Currently helping Ukrainian refugees in MA.
Features
- Cartoon: Data Scientist - the sexiest job of the 21st century until …
- Up to Speed on Deep Learning: July Update
- How Convolutional Neural Networks Work
- Learning from Imbalanced Classes
- What is the Role of the Activation Function in a Neural Network?
- Is "Artificial Intelligence" Dead? Long Live Deep Learning?!?
- A Tutorial on the Expectation Maximization (EM) Algorithm
- Data Mining Tip: How to Use High-cardinality Attributes in a Predictive Model
- PAW Healthcare: Improve patient care with predictive analytics, Oct 23-27, New York
Software
Tutorials, Overviews, How-Tos
- A Beginner's Guide To Understanding Convolutional Neural Networks Part 1
- The Evolution of IoT Edge Analytics: Strategies of Leading Players
- The Human Vector: Incorporate Speaker Embeddings to Make Your Bot More Powerful
- HPE Haven OnDemand: Powerful Data Connectors for the Cloud and Enterprise
- How Can Data Scientists Mitigate Sensitive Data Exposure Vulnerability?
- Introduction to Local Interpretable Model-Agnostic Explanations (LIME)
- A Gentle Introduction to Bloom Filter
- A Primer on Logistic Regression - Part I
- A simple approach to anomaly detection in periodic big data streams
Opinions
- How to Become a Data Scientist - Part 2
- How to Become a Data Scientist - Part 3
- Interpretability over Accuracy
- The Acceleration of Data Science Excellence
- 7 Big Data Steps in Health Science
- 4 Online Data Science Training Options for Your Team
- Rio Olympics 2016 on Twitter: Positive Sentiment (75%), Water Sports, Simone Biles Win
News
- New Poll: Which methods/algorithms you used for a Data Science or Machine Learning application?
- Top August Stories: The 10 Algorithms Machine Learning Engineers Need to Know; How to Become a Data Scientist
- Top /r/MachineLearning Posts, August: Google Brain AMA, Image Completion with TensorFlow, Japanese Cucumber Farming
- Top Stories, Aug 29-Sep 4: How Convolutional Neural Networks Work; Activation Functions in Neural Networks
- Top Stories, Aug 22-28: How to Become a Data Scientist; 10 Need to Know Machine Learning Algorithms
- Data Science vs Crime: Detecting Pickpocket Suspects from Transit Records
- Whitepaper: Big Data Visualization With Datashader
- New Book: TensorFlow for Machine Intelligence, KDnuggets Offer
- Cartoon: Labor Day in the era of Robotics
Webcasts
Courses
- The top 5 Big Data courses to help you break into the industry
- Build Your Analytics Skills with TDWI Online Learning
Meetings
- See You at the Top Data Conference: TDWI Austin
- Upcoming Meetings in Analytics, Big Data, Data Mining, Data Science: September and Beyond
- Insurance Analytics Europe, 5-6 October, London, UK
- More answers, less theory from Big Guns at Big Data LDN, Nov 3-4
- PAPIs 16 Conference on Predictive Applications & APIs, Oct 10-12, Boston
- KNIME Summit, San Francisco, Sep 14-16, KDnuggets Offer
- PAW Healthcare: Improve patient care with predictive analytics, Oct 23-27, New York
Jobs
- GuideOne: Enterprise Information Architect
- Wise Athena: Senior Data Scientist (Madrid)
- Booking: Data Scientist - Machine Learning
- Booking: Data Scientist - Analytics
- Hitachi: Research Scientist, Machine Learning
- FEIM: Senior Sales and Business Analyst
- Lubrizol: Analytics Statistician
Academic
Top Tweets
- Top KDnuggets tweets, Aug 24-30: #DataScientist - sexiest job of the 21st century until …; Activation Function in #NeuralNetworks.
- Top KDnuggets tweets, Aug 17-23: Approaching (Almost) Any #MachineLearning Problem; #Database Nirvana - can one query language rule them all?
See also on KDnuggets: https://www.kdnuggets.com/2016/n32.html