KDnuggets™ News 16:n26, Jul 20: Bayesian Machine Learning, Explained; Start Learning Deep Learning; Big Data is in Trouble
Bayesian Machine Learning, Explained; How to Start Learning Deep Learning; Why Big Data is in Trouble: They Forgot About Applied Statistics; Data Mining/Data Science "Nobel Prize": 2016 SIGKDD Innovation Award to Philip S. Yu
Features  Software  Tutorials  Opinions  News  Webcasts  Courses  Meetings  Quote
Features
 Bayesian Machine Learning, Explained
 How to Start Learning Deep Learning
 Why Big Data is in Trouble: They Forgot About Applied Statistics
 Data Mining/Data Science "Nobel Prize": 2016 SIGKDD Innovation Award to Philip S. Yu
 2016's Best Places for Data Scientist Jobs
 KDnuggets Interview: Inderpal Bhandari, IBM Global Chief Data Officer on 4 key ideas of Cognitive Computing
Software
Tutorials, Overviews, HowTos
 Predictive Analytics Introductory Key Terms, Explained
 In Deep Learning, Architecture Engineering is the New Feature Engineering
 Statistical Data Analysis in Python
 America's Next Topic Model
 MNIST Generative Adversarial Model in Keras
Opinions
 10 Algorithm Categories for A.I., Big Data, and Data Science
 What Data Scientists Can Learn From Qualitative Research
 Data Mining Most Vexing Problem Solved, or is this drug REALLY working?
 4 Major Trends Disrupting the Data Science Market
 What the Next Generation of IoT Sensors Have in Store
 What do Postgres, Kafka, and Bitcoin Have in Common?
News
 Top Stories, July 1117: Top Machine Learning MOOCs and Online Lectures; Bayesian Machine Learning, Explained
 Top KDnuggets tweets, Jul 6  Jul 12: Statistical Data Analysis #Python #Jupyter Notebooks; Modern Pandas Notebooks
 2016 SIGKDD Service Award to Wei Wang
Webcasts and Webinars
Courses
 Online Master of Science in Predictive Analytics
 Online Courses: Big Data Projects and Data Science Pipelines
 Metis Data Science Open Houses: San Francisco and New York City
Meetings
Quote
"In God we trust. All others must bring data." W. Edwards Deming
Top Stories Past 30 Days

