This book is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. My goal is to offer a guide to the parts of the Python programming language and its data-oriented library ecosystem and tools that...
Let’s start by telling the truth: machines don’t learn. What a typical “learning machine” does, is f i nding a mathematical formula, which, when applied to a collection of inputs (called “training data”), produces the desired outputs....
It happens so unexpectedly: your project started off great at first with you developing at a rapid pace, but before you know it, you've come to a screeching halt. Adding the simplest of features takes forever. Unrelated pieces of code keep breaking...
This book aims to bring newcomers to natural language processing (NLP) and deep learning to a tasting table covering important topics in both areas. Both of these subject areas are growing exponentially. As it introduces both deep learning and NLP...
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...