Google leads the day with the open sourcing of TensorFlow, their machine learning library. Following on the intelligence thread, WildML gives us an excellent explanation of Convolutional Neural Networks for NLP. Alex H Woods completes the idea with a nice post on Bayes Theorem and Naive Bayes. While applications of Bayes Theorem may not seem as sexy as convolution neural networks, they still power most spam filters and many other large applications.
As always, enjoy today’s items, and please participate in the discussions on these sites.
Startups, Career and Process
- Pattern of the Month: Scrumban | DZone Agile
- The Worst Developer Résumé in the World | DZone Agile
- My Insights As A Job Hopper | Dan Donahue
Design and Development
- Scripting AmericanExpress.com To Monitor Temporary Charges | Paul Hammant
- Roadomatic: Node vs. Go | Assil Ksiksi
- FlatBuffers aren’t fast, they’re lazy | Public Object
- Top 20 Core Java Interview Questions and Answers from Investment Banks | Java Code Geeks
- OpenMap Tutorial Part 2 – Build a basic map application using the MapHandler – Part 1 | Java Code Geeks
- Gentle Introduction to Hystrix – Wrapup | Java Code Geeks
- Play! Framework tutorial for beginners | Java Code Geeks
- Using Scalatest for Bi-Directional Client SSL Tests | DZone Integration
Concurrency, Performance and Scalability
AI, Machine Learning, Research and Advanced Algorithms
- Understanding Convolutional Neural Networks for NLP | WildML
- Bayes Theorem and Naive Bayes | Alex H Woods
- TensorFlow: smarter machine learning, for everyone | Official Google Blog
Big Data, Visualization, SQL and NoSQL
- Data Science Roundup #8: New Rules of DataViz, Fighting Diseases with Data, and more | The Data Point
- PostgreSQL Locking Revealed | Nordeus Blog
- How to Find the Longest Consecutive Series of Events in SQL | Java Code Geeks
- Nobody Loves Graphite Anymore | VividCortex
Link Collections
- Dew Drop – November 9, 2015 (#2128) | Morning Dew
- Double Shot #1580 | A Fresh Cup
Regular Geek 