This book, titled Machine Learning Solutions, gives you a broad idea about the topic. As a reader, you will get the chance to learn how to develop cutting-edge data science applications using various Machine Learning (ML) techniques. This book is practical guide that can help you to build and optimize your data science applications.

We learn things by practically doing them. Practical implementations of various Machine Learning techniques, tips and tricks, optimization techniques, and so on will enhance your understanding in the ML and data science application development domains.

Now let me answer one of the most common questions I have heard from my friends and colleagues so frequently about ML and the data science application development front. This question is what really inspired me to write this book. For me, it's really important that all my readers get an idea of why am I writing this book. Let's find out that question…!

The question is, "How can I achieve the best possible accuracy for a machine learning application?" The answer includes lots of things that people should take care of:

I have covered all the specified aspects in this book. Here, the major goal is how readers will get a state-of-the-art result for their own data science problem using ML algorithms, and in order to achieve that, we will use only the bare necessary theory and many hands-on examples of different domains.

We will cover the analytics domain, NLP domain, and computer vision domain. These examples are all industry problems and readers will learn how to get the best result. After reading this book, readers will apply their new skills to any sort of industry problem to achieve best possible for their machine learning applications.