That means it’s time to learn about Machine Learning, especially if you’re looking for new Computer Science challenges. A great way to do that is to read a couple of books. Introduction to Machine ...

The book assumes some basic knowledge of Python, machine learning, and neural networks, and teaches readers how to use DRL to solve complex and realistic problems. The book follows a learn-by ...

In this book you will learn how to align on ML strategies in a team setting, as well as how to set up development (dev) sets and test sets. Recommendations for how to set up dev/test sets have been ...

As you progress, you’ll explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop accurate models by automating ...

Did you know that almost 90% of the world’s data has been created in the last two years alone, and nearly 2.5 quintillion bytes of data are produced by humans every day? On social media platforms like ...

Now in Ensemble Methods for Machine Learning you’ll discover core ensemble methods that have proven records in both data science competitions and real-world applications. Hands-on case studies show ...

What does it mean when machines start thinking for themselves? We’ll break down the concept of machine learning and how it’s reshaping our world.