This year, for the first time, Kaggle conducted an industry-wide survey to establish a comprehensive view of the state of data science and machine learning. It received over 16,000 responses and learned a ton about who is working with data, what’s happening at the cutting edge of machine learning across industries, and how new data scientists can best break into the field. The below report shares some of their key findings and includes interactive visualizations so you can easily cut the data to find out exactly what you want to know.
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules
Blockchain, Machine Learning, Robotics, Artificial Intelligence And Wireless Technologies Will Reshape Digital Business In 2018
Blockchain, together with artificial intelligence, machine learning, robotics, and virtual and augmented reality, have the potential to deliver disruptive outcomes and reshape digital business in 2018. And companies that have not started the digital investment cycle are at high risk of being disrupted.
Awesome Machine Learning for Cybersecurity
A curated list of amazingly awesome tools and resources related to the use of machine learning for cybersecurity.
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
This is a fairly faithful reimplementation of the system described in the Alpha Go Zero paper "Mastering the Game of Go without Human Knowledge". For all intents and purposes, it is an open source AlphaGo Zero.
Can I get a job as a Data scientist after doing the John Hopkins (10 courses) Data Science specialization from Coursera?
You can read this answer from Scott Breunig, Data Scientist at Snapdocs.
