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How self-service data avoids the dangers of “shadow analytics” "People want to do their jobs, and they’ll find a way if IT doesn't provide the right tools" #DataScience

Ideas on interpreting #MachineLearning > approaches beyond the usual error measures / assessment plots to mix & match

#Neuroevolution: A different kind of #DeepLearning The quest to evolve neural networks through evolutionary algorithms #AI

#MachineLearning at Spotify: You are what you stream > using data to drive digital transformation and recommender systems #DataScience

When two trends fuse: #PyTorch and recommender systems "flexibility and native #Python integration make it an ideal tool for building recommender systems" #DeepLearning

How to set up and run your own Architectural Katas @neal4d explains the ground rules for building software architectures #Programming

Building a natural language processing library for #ApacheSpark @davidtalby on a new #NLP library for Spark, and why model development starts after a model gets deployed to production #DataScience

Automated root cause analysis for #Spark application failures Reduce troubleshooting time from days to seconds. #DataScience

Ethics at scale @mikeloukides on the problems of privacy, security, and honesty #Ethics #Data #Privacy

Building messaging in #Go network clients "Many useful lessons can be drawn from the NATS project" #Programming

Implementing the pipes and filters pattern using actors in #Akka for #Java #Programming

C++17 upgrades you should be using in your code #programming #coding

The current state of Apache Kafka @bigdata chats w/ @nehanarkhede #DataScience

Neuroevolution: A different kind of #DeepLearning The quest to evolve neural networks through evolutionary algorithms #AI #MachineLearning

Becoming an accidental architect > How software architects can balance technical proficiencies w/ an appropriate mastery of communication #Architecture #Programming

Building a natural language processing library for #ApacheSpark @bigdata chats w/ @davidtalby #datascience

Deep convolutional generative adversarial networks w/ #TensorFlow How to build and train a DCGAN to generate images of faces #MachineLearning #DeepLearning

Identifying viral #bots and cyborgs in social media Analyzing tweets and posts around Trump, Russia, and the NFL #MachineLearning #fakenews #datascience

Establishing the “why” of your product How to craft a winning product roadmap #Design #prodmgmt