Publisher's Synopsis
Do you want to impress the processes that you are working on? Do you want to make your machines more intelligent? If your answer to any of those questions is yes, then you have come to the right place.
This book is a sequel to the book titled 'Machine Learning: A Step-by-Step guide.' In the first book, you gathered information on what machine learning is, and the different algorithms that one needs to know. This book is written for those who have a basic understanding of what machine learning is.
In this book, you will gather information on:
- Practical examples of machine learning
- How to build a machine learning algorithm in Python
- An introduction to deep learning and neural networks
- How to create a neural network in Python using Keras
- And much more
The book breaks the process of building a machine-learning model in Python into simple steps. These steps will help you build your very own machine-learning model from scratch. You should first build the model using the programs and scripts given in the book before you build your model from scratch. If you want to learn more about what you can do with machine learning, then this is the perfect book for you.
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