Apr
2017 May News, Features
http likes 72All (114) | Courses, Education (11) | Meetings (16) | News, Features (20) | Opinions, Interviews (22) | Software (5) | Tutorials, Overviews (34) | Webcasts & Webinars (6)
- Top KDnuggets tweets, May 24-30: #DataScience for Beginners; 10 Free Must-Read Books for #MachineLearning and #DataScience
- May 31, 2017.
Real-time face detection and emotion/gender classification; Top 20 #Python #MachineLearning Open Source Projects, updated; Stanford CS231n lecture slides: #DeepLearning software; #DataScience platforms are on the rise
- Top Stories, May 22-28: Analytics, Data Science, Machine Learning Software Poll Results; Machine Learning Crash Course
- May 29, 2017.
New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll; Machine Learning Crash Course: Part 1; Text Mining 101: Mining Information From A Resume; Data science platforms are on the rise and IBM is leading the way; An Introduction to the MXNet Python API
- Top KDnuggets tweets, May 17-23: Beginner Guide To Understanding Convolutional Neural Networks; Big Data 2017: Top Influencers and Brands
- May 24, 2017.
#BigData 2017: Top Influencers and Brands; #ICYMI 10 Free Must-Read Books for #MachineLearning and #DataScience; Good Test for #DeepLearning #ImageRecognition? #Chihuahua or #Muffin
- The first ever AI survey for Insurance: Get the low-down on how AI will impact you
- May 23, 2017.
Check the new “AI, Analytics and GDPR Survey 2017”, where Insurance Nexus quizzed 250 of the brightest minds in insurance, and learn the latest trends in analytics, AI and GDPR to help you adjust your strategy.
-
New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll
- May 22, 2017.
Python caught up with R and (barely) overtook it; Deep Learning usage surges to 32%; RapidMiner remains top general Data Science platform; Five languages of Data Science.
- Top Stories, May 15-21: Getting Into Data Science: What You Need to Know; The Best Python Packages for Data Science
- May 22, 2017.
Getting Into Data Science: What You Need to Know; The Best Python Packages for Data Science; HDFS vs. HBase : All you need to know; What are common data quality issues for Big Data and how to handle them?; Teaching the Data Science Process
- Top KDnuggets tweets, May 10-16: Which Machine Learning algorithm should I use? #cheatsheet
- May 17, 2017.
Also HDFS vs. HBase: All you need to know #BigData mini-tutorial; #MachineLearning overtaking #BigData?
- New Book: Mining Your Own Business
- May 15, 2017.
It's an easy-to-read, practical primer for C-level to mid-level executives about how to harness the power of analytics to increase organizational effectiveness.
- Top Stories, May 8-14: Annual KDnuggets Data Science Software Poll; Using Deep Learning To Extract Knowledge From Job Descriptions
- May 15, 2017.
New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?; Using Deep Learning To Extract Knowledge From Job Descriptions; Deep Learning Past, Present, and Future; The Guerrilla Guide to Machine Learning with R
- Big Data 2017: Top Influencers and Brands
- May 15, 2017.
Onalytica's Big Data Influencer report for 2017 is here. Check out the names and brands that have made the list this year, and get up to speed on the latest happenings in Big Data.
- Cartoon: Mother Of All Data.
- May 14, 2017.
We revisit KDnuggets Mother's Day Cartoon. Enjoy and don't forget the mothers in your life - Big Data predicted that 67.53% of you would remember.
- Analytic Professionals: Participate in the 2017 Data Science Survey
- May 13, 2017.
Please take part in Rexer Analytics Data Science Survey, conducted since 2007. Full results will be available to download later in the year.
- Top KDnuggets tweets, May 03-09: New Poll: What software you used for Analytics, Data Science? Approaching (Almost) Any #MachineLearning Problem
- May 10, 2017.
Also Is #MachineLearning overtaking #BigData? What Do Frameworks Offer Data Scientists that #Programming Languages Lack?; Seeing Theory - A Brown University visual intro to probability and stats.
- Top Stories, May 1-7: How to Learn Machine Learning in 10 Days; Deep Learning – Past, Present, and Future
- May 8, 2017.
How to Learn Machine Learning in 10 Days; Deep Learning – Past, Present, and Future; Keep it simple! How to understand Gradient Descent algorithm; New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?
- Top April Stories: 10 Free Must-Read Books for Machine Learning and Data Science
- May 6, 2017.
Also Forrester vs Gartner on Data Science Platforms; Top 20 Recent Research Papers on Machine Learning and Deep Learning.
-
New Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?
- May 5, 2017.
Vote in KDnuggets 18th Annual Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months? We will clean, analyze, visualize, and publish the results. - Top /r/MachineLearning Posts, April: Why Momentum Really Works; Machine Learning with Scikit-Learn & TensorFlow
- May 5, 2017.
Why Momentum Really Works; O'Reilly's Hands-On Machine Learning with Scikit-Learn and TensorFlow; Implemented BEGAN and saw a cute face at iteration 168k; Self-driving car course; Exploring the mysteries of Go; DeepMind Solves AGI
- Top KDnuggets tweets, Apr 26 – May 02: Face Recognition with Python, in under 25 lines of code
- May 3, 2017.
Face Recognition with Python, in under 25 lines of code; Try #DeepLearning in #Python w. a fully pre-configured VM; Homo Bayesians #MachineLearning #humor #cartoon; The Most Popular Language For #MachineLearning, #DataScience Is ...
- Top Stories, Apr 24-30: Guerrilla Guide to Machine Learning with Python; Understand the Gradient Descent Algorithm
- May 1, 2017.
The Guerrilla Guide to Machine Learning with Python; How to understand Gradient Descent algorithm; Cartoon: Machine Learning – What They Think I Do; AI & Machine Learning Black Boxes: The Need for Transparency and Accountability; How to Build a Recurrent Neural Network in TensorFlow
- The 2017 Data Scientist Report is now available
- May 1, 2017.
For the third year in a row, CrowdFlower surveyed data scientists (nearly 200 this year) from all manner of organizations, which they have compiled into one free report which you can be downloaded now. This year, lots of insights into the word of AI are included.
Automating Every Aspect of Your Python Project