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.
You already market your business to customers, but if you don’t build a great image in the minds of potential employees' you’ll never attract top talent.
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.
In order to use data effectively for any kind of analysis, data scientists must be able to clean and prepare it first. Fortunately, Python makes doing so easy.
Hiring demand for experts in artificial intelligence, machine learning, and deep learning is high, and will only get higher in coming years. Here’s how to make sure you get the best of the best.
