O'Reilly Radar

How self-service data avoids the dangers of “shadow analytics” http://oreil.ly/2B0xsRs  "People want to do their jobs, and they’ll find a way if IT doesn't provide the right tools" #DataSciencepic.twitter.com/JysV9zt5Wa

Ideas on interpreting #MachineLearning http://oreil.ly/2BJBhr6  > approaches beyond the usual error measures / assessment plots to mix & matchpic.twitter.com/mxfiIP6crB

#Neuroevolution: A different kind of #DeepLearning http://oreil.ly/2AWrrFF  The quest to evolve neural networks through evolutionary algorithms #AIpic.twitter.com/iCBcIgW7hu

#MachineLearning at Spotify: You are what you stream http://oreil.ly/2AzyG5w  > using data to drive digital transformation and recommender systems #DataSciencepic.twitter.com/UAYRRsvHy1

When two trends fuse: #PyTorch and recommender systems http://oreil.ly/2AW7XRr  "flexibility and native #Python integration make it an ideal tool for building recommender systems" #DeepLearningpic.twitter.com/GQow0laGal

How to set up and run your own Architectural Katas http://oreil.ly/2j062EC  @neal4d explains the ground rules for building software architectures #Programmingpic.twitter.com/AhxrVLuR7M

Building a natural language processing library for #ApacheSpark http://oreil.ly/2BrTmcX  @davidtalby on a new #NLP library for Spark, and why model development starts after a model gets deployed to production #DataSciencepic.twitter.com/4HtvEhKpjP

Automated root cause analysis for #Spark application failures http://oreil.ly/2i8d45S  Reduce troubleshooting time from days to seconds. #DataSciencepic.twitter.com/IcF2F3HmYM

Ethics at scale http://oreil.ly/2AhEjFp  @mikeloukides on the problems of privacy, security, and honesty #Ethics #Data #Privacypic.twitter.com/A4HH5m7jLX

Building messaging in #Go network clients http://oreil.ly/2jgJlbb  "Many useful lessons can be drawn from the NATS project" #Programmingpic.twitter.com/ptd3hju4ao

Implementing the pipes and filters pattern using actors in #Akka for #Java http://oreil.ly/2B3n4EU  #Programmingpic.twitter.com/kOu25brh0t

C++17 upgrades you should be using in your code http://oreil.ly/2iHiAgp  #programming #codingpic.twitter.com/W5xwhkuHcX

The current state of Apache Kafka http://oreil.ly/2jdSgtK  @bigdata chats w/ @nehanarkhede #DataSciencepic.twitter.com/YAE0SXAb93

Neuroevolution: A different kind of #DeepLearning http://oreil.ly/2hGhnZN  The quest to evolve neural networks through evolutionary algorithms #AI #MachineLearningpic.twitter.com/mlT3A4DKjC

Becoming an accidental architect http://oreil.ly/2hyWnAx  > How software architects can balance technical proficiencies w/ an appropriate mastery of communication #Architecture #Programmingpic.twitter.com/sNUJlwo7w0

Building a natural language processing library for #ApacheSpark http://oreil.ly/2ANdqGC  @bigdata chats w/ @davidtalby #datasciencepic.twitter.com/HIttOeahal

Deep convolutional generative adversarial networks w/ #TensorFlow http://oreil.ly/2mz61IE  How to build and train a DCGAN to generate images of faces #MachineLearning #DeepLearningpic.twitter.com/gihWibzQhp

Identifying viral #bots and cyborgs in social media http://oreil.ly/2hD3ICz  Analyzing tweets and posts around Trump, Russia, and the NFL #MachineLearning #fakenews #datasciencepic.twitter.com/tHkN9IDy9e

Establishing the “why” of your product http://oreil.ly/2his1C1  How to craft a winning product roadmap #Design #prodmgmtpic.twitter.com/yTOjIWrmmA

Neuroevolution: A different kind of #DeepLearning http://oreil.ly/2A0OnPF  "evolve neural networks through evolutionary algorithms"pic.twitter.com/uXaEXW6H4e