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… Read More »A Primer in Adversarial Machine Learning – The Next Advance in AI
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.… Read More »16 Great Blogs Posted in the last 12 Months
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… Read More »Data Science Career Opportunities: Your Guide To Unlocking Top Data Scientist Jobs
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… Read More »KIC 8462852: Models of transits
This article was written by Richard Downes. Richard is a Specialist Recruiter / Headhunter in the areas of Analytics, Data Science and Artificial Intelligence / Machine… Read More »Hiring data scientists and dropping the obsession with unicorns
“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… Read More »How Data Is Changing the Future of Smart Health Technology
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… Read More »IoT 101 – Everything You Need to Know to Start Your IoT Project
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 Reinforcement Learning. There’s something magical about… Read More »The Unreasonable Effectiveness of Recurrent Neural Networks
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… Read More »Lead your own data science projects with the 3 Ps
Most academic papers and blogs about machine learning focus on improvements to algorithms and features. At the same time, the widely acknowledged truth is… Read More »More data beats better algorithms – By Tyler Schnoebelen
