Introduction “People underestimate how complex intelligence is.” How close are we to Artificial General Intelligence (AGI)? It seems we take a step closer to …
In this article, learn how the algorithm behind DeepMind’s popular AlphaGo and AlphaGo Zero programs works – Monte Carlo Tree Search.
Here’s a comprehensive list of books, both free and paid, that every aspiring data scientist should have in their book shelf.
2018 was a HUGE year in open source machine learning projects. Here’s our pick of the bunch, with projects divided into different categories.
A Technical Overview of AI & ML (NLP, Computer Vision, Reinforcement Learning) in 2018 & Trends for 2019
From Google’s BERT to Facebook’s PyTorch, 2018 was a HUGE year in ML. Find out what else made the news and what to look forward to in the new year!
Here is a list of the top turotials presented at NeurIPS 2018 (NIPS). We have provided the summary for each turotial in an easy-to-digest format!
This article is a collection of the most useful machine learning and deep learning GitHub repositories and Reddit discussions created in November 2018.
Here is what you can expect from DataHack Summit 2018 – More than 25 power talks, 15 Hack sessions and 9 entralling Workshops!
This article lists down the most awesome machine learning and deep learning GitHub repositories and Reddit discussions from October 2018!
List of must read books on machine learning and artificial intelligence provides an overview to a data scientist and its uses in modeling