Summary: What comes next after Deep Learning? How do we get to Artificial General Intelligence? Adversarial Machine Learning is an emerging space that points to tha...
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
This article was written by Pallavi Poojary. In a world where 2.5 quintillion bytes of data is produced every day, a professional who can organize this humongous data...
Update Sep. 2016: A model with less than a third of the error can be found here. KIC 8462852 is a star that has been getting a fair amount of attention. It occasionally�...
This article was written by Richard Downes. Richard is a Specialist Recruiter / Headhunter in the areas of Analytics, Data Science and Artificial Intelligence / Machine ...
“Many products and applications exist today that can help us take steps toward healthier living.” – Ben Bajarin Big data is everywhere. Yes it’s true that...
Originally posted onData Science Central Summary: This is the first in a series of articles aimed at providing a complete foundation and broad understanding of the techni...
This articles was written by Andrej Karpathy. Andrej, PhD student at Stanford, is a Research Scientist at OpenAI working on Deep Learning, Generative Models and Rei...
There’s a lot of literature on learning the technical aspect of data science: statistics, machine learning, data munging, big data. This material will serve you wel...
Most academic papers and blogs about machine learning focus on improvements to algorithms and features. At the same time, the widely acknowledged truth is that throwin...
We are in the process of writing and adding new material (compact eBooks) exclusively available to our members, and written in simple English, by world leading experts in AI, data science, and machine learning.