Machine Learning in Trading: Step by step implementation of Machine Learning models

Why was this book written?
Machine learning is a vast topic if you look at the various disciplines originating from it. You will also hear buzzwords such as AI, Neural Networks, Deep learning, AI Engineering being associated with machine learning.

Our aim in this book is to demystify these concepts and provide clarity on how machine learning is different from conventional programming. And further, how machine learning can be used to gain an edge in the trading domain. We have structured the book in such a way that initially, you will learn about the various tasks carried out by a machine learning algorithm.
When it is appropriate, you will be introduced to the code which is required to run these tasks. If you are well versed with Python programming, you will be able to breeze through these sections and understand the concepts easily.
What's in this book?
The material presented here is an elementary introduction to the world of machine learning. You can think of it as a book telling you about the foundations of machine learning and how it is applied in real life. From the outset, we believe that only theory is not enough to retain knowledge.
You need to know how you can apply this knowledge in the real world. Thus, our book contains lots of real-world examples, especially in the field of trading. But rest assured that these concepts can be transferred to any other discipline which requires data analysis.

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