Topics: 
) KDnuggets™ News 15:n39, Dec 2: 7 Steps to Master Machine Learning w. Python; Hardest Part of Data Science
7 Steps to Mastering Machine Learning With Python; The hardest parts of data science; Deep Forger: Art Forgery Meets Deep Neural Nets; Bot or Not: an end-to-end data analysis in Python.
Features | Software | Tutorials | Opinions | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | Quote
Features
- 7 Steps to Mastering Machine Learning With Python
- The hardest parts of data science
Deep Forger: Art Forgery Meets Deep Neural Nets
- Bot or Not: an end-to-end data analysis in Python
- 5 Tribes of Machine Learning - Questions and Answers
- Data Science Cartoon Contest has 3 winners
- Big RAM is eating big data - Size of datasets used for analytics
- PAW San Francisco super early bird offer will melt faster than snow
Software
- Arabesque Distributed Graph Mining Platform
- Hackerday - Stay Updated in your Career through Hands-On Projects
Tutorials, Overviews, How-Tos
Opinions
- Will Balkanization of Data Science lead to one Empire or many Republics?
- Taming the Elephant: Advice to Director, Big Data Architect
- How Applications of Big Data Drive Industries
- Detecting In-App Purchase Fraud with Machine Learning
- OpenText Data Digest Nov 20: The Last Mile of Big Data
- Using Machine Learning To Predict Gender
- What is the importance of Dark Data in Big Data world?
- On Political Economy and Data Science: When A Discipline Is Not Enough
Reports
- H2O World 2015 - Day 3 Highlights
- H2O World 2015 - Day 2 Highlights
- The Data Science Conference 2015 Highlights
News
- Top stories for Nov 22-28: TensorFlow Disappoints; How Applications of Big Data Drive Industries
- Top stories for Nov 15-21: TensorFlow Disappoints - Google Deep Learning falls shallow; 7 Steps to Mastering Machine Learning With Python
Webcasts and Webinars
- Webinar: Why Organizations are Choosing In-Database Analytics, Dec 3
- Webinar: 5 tips to get more out of Data Lakes, Dec 16
Courses
- Career path explained: Big Data Hadoop DEVELOPER to ARCHITECT
- IE Business School Innovation-based programs: Big Data for Business
- Wharton: Bring Customer Lifetime Value to Life, Feb 18-19
Meetings
Jobs
- Robert Half: Senior Machine Learning Scientist
- Avvo: Sr. Data Scientist
- Booz Allen Hamilton: Data Scientist
- Geisinger Health System: Senior Data Science Programmer
- Geisinger: High Perf Computing Data Svc Admin
- City of Cincinnati: Data Scientist
- Arrowstreet Capital: Research Associate
- Disney Parks & Resorts: Principal, Decision Science
- Starbucks: Data Scientist Principal, Business Strategy
Academic
- National University of Singapore: Visiting Scientist/Research Assistant in Business Analytics
- Academic/Research positions in Business Analytics, Data Science, Machine Learning in November
Publications
Top Tweets
- Top KDnuggets tweets, Nov 23-29: One Artificial Neuron Taught to Recognize 100s of Patterns; 5 projects to learn Data Science
- Top KDnuggets tweets, Nov 16-22: Dilbert discovers the perfect chart; TensorFlow Disappoints - Google Deep Learning falls shallow
Quote
Ouch, I forgot to normalize that data! Data Science Cartoon Contest winner
Assumption: The part that's always wrong. Devil's Data Dictionary.
