By leveraging natural language processing, augmented analytics could revolutionize the way data science teams — and non-specialist business users — get the information their firms need.
As a data scientist, you may be able to get away without using linear algebra — but not for long. Here’s how linear algebra can improve your machine learning, computer vision and natural language processing.
In this four-part series, I’ll show you how the Markov decision process works and the mathematical theory you need to know to understand deep reinforcement learning.
