Why read on? First, you’ll learn how to use Python in data analysis (which is a bit cooler and a bit more advanced than using Microsoft Excel). Second, you’ll also learn how to gain the mindset of a real data analyst (computational...
The Goal of Using Machine Learning Powered Applications Over the past decade, machine learning (ML) has increasingly been used to power a variety of products such as automated support systems, translation services, recommendation engines, fraud...
Want to know a secret? Machine learning isn’t really that hard to learn. The truth is, you don’t need a PhD from a prestigious university or a background in mathematics to do machine learning. If you already know how to code, you can pick up...
This is the first entry-level book on algorithmic (also known as automatic) differentiation (AD), providing fundamental rules for the generation of first- and higher-order tangent-linear and adjoint code. The author covers the mathematical...