Topics: 
) KDnuggets™ News 16:n20, Jun 8: R, Python Duel for 1st Place; “Regular” Machine Learning vs Deep Learning; Numpy Intro
R, Python Duel As Top Analytics, Data Science software; What is the Difference Between Deep Learning and "Regular" Machine Learning; An Introduction to Scientific Python; How to Build Your Own Deep Learning Box
Features | Software | Tutorials | Opinions | News | Webcasts | Courses | Meetings | Jobs | Quote
Features
R, Python Duel As Top Analytics, Data Science software - KDnuggets 2016 Software Poll Results
- What is the Difference Between Deep Learning and "Regular" Machine Learning?
- An Introduction to Scientific Python (and a Bit of the Maths Behind It) - NumPy
- How to Build Your Own Deep Learning Box
- 10 Must Have Data Science Skills, Updated
- Machine Learning Key Terms, Explained
- Data Scientist Salaries by City, Analyzed
- Top 10 Open Dataset Resources on Github
- A Concise Overview of Standard Model-fitting Methods
Software
Tutorials, Overviews, How-Tos
- Hadoop Key Terms, Explained
- Open Source Machine Learning Degree
- Do You Need Big Data or Smart Data? Part 1
- Do You Need Big Data or Smart Data? Part 2
- Doing Data Science: A Kaggle Walkthrough Part 2 - Understanding the Data
- Doing Data Science: A Kaggle Walkthrough Part 3 - Cleaning Data
- Introduction to Recurrent Networks in TensorFlow
- The Good, Bad & Ugly of TensorFlow
- Data Science of Variable Selection: A Review
- A Brief Primer on Linear Regression - Part 1
- Understanding Modern Data Systems
- Building Data Systems: What Do You Need?
Opinions
- Big Data Business Model Maturity Index and the Internet of Things (IoT)
- The Truth About Deep Learning
- Ethics in Machine Learning - Summary
- The Benefits of Decentralizing Analytics Talent
- 5 Reasons Machine Learning Applications Need a Better Lambda Architecture
- Engineering Intelligence Through Data Visualization at Uber
- Intel's Investments in Cognitive Tech: Impact and New Opportunities
- Beyond Big Data Skills: Creating the Right DNA for the Managers of the Data-driven Business World
- Interacting with Machine Learning - Here is Why You Should Care
- Automakers Must Partner Around Big Data
- Trust and Analytics in the Banking Sector
- SAP Predictive Analytics Interview with Sven Bauszus
- 5 Ways in Which Big Data Can Help Leverage Customer Data
- Let Me Hear Your Voice and I'll Tell You How You Feel
- Harnessing Open Data Science for Predictive Analytics (Whitepaper)
- Don't Just Assume That Data Are Interval Scale
- The Data Science Market: 2016 Compensation Insights
News
- Top May stories: What software you used for Analytics, Data Mining, Data Science?
- Top Stories, May 23-29: Machine Learning Key Terms, Explained; 10 Must Have Data Science Skills, Updated
- Top Stories, May 30 - June 6: Difference Between Deep Learning and "Regular" Machine Learning; Introduction to Numpy
- Top KDnuggets tweets, May 18-24: Google supercharges #MachineLearning, #DeepLearning tasks with TPU (Tensor Processing Unit)
- Top KDnuggets tweets, May 25-31: 19 Free eBooks to learn #programming with #Python; Awesome collection of public datasets on Github
- Top /r/MachineLearning Posts, May: TensorFlow Tricks; Machine Learning Tutorials; Google TPUs
- Predicting Popularity of Online Content
- Free eBook: Healthcare Social Media Analytics and Marketing
- CRN Top Data Management Technologies Vendors 2016
- CRN Top Platform and Tools Vendors 2016
- CRN Top Business Analytics Vendors 2016
- CRN Big Data Startups to Watch in 2016
- Academic/Research positions in Business Analytics, Data Science, Machine Learning in May
- WCAI Research Opportunity: Understanding Economic Behaviors for Financial Products - deadline June 12
Webcasts and Webinars
- Webinar: Predictive Analytics: Failure to Launch [June 8]
- Webinar: Using Uplift Modeling to Influence and Persuade, June 29
- Analyzing Log Data with Spark and Looker
Courses
- Make Your Clients Look Like Superheroes With Actionable Data
- Udacity Nanodegree Programs: Machine Learning, Data Analyst, and more
- Master in Business Analytics & Big Data: In Madrid or online
Meetings
- Upcoming June - December Meetings in Analytics, Big Data, Data Mining, Data Science
- Be Part of Spark Summit 2016, the Premier Big Data Event Dedicated to Apache Spark
- Algorithms for Modern Massive Data Sets (MMDS), UC Berkeley, June 21-24 - Register until June 12
- Strategize Your Data Capabilities to Maximize Business Performance
Jobs
- Microsoft: Sr. Applied Data Scientist
- Axcess-Financial: Manager of Governance - Financial Services Industry
- Fitbit: Sr Data Scientist, FitStar
- AIG: Senior Manager/Director, Scientist - Natural Language Processing Research
- Hyundai: Quality Data Analytics Manager
- LLNL: Associate Director for Computation
- USC: Data Scientist
- AT&T: Inventive Scientist
- IBM: Big Data Architect
- IBM: Big Data Engineer
- ntent: Senior Software Engineer, Python
- UnitedHealth Group: Hadoop Big Data Developer
- EY: Cyber Data Scientist, Advisory
- Bain: Data Architect Manager
Quote
"Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world." Atul Butte, Stanford
