Publisher's Synopsis
Python Machine Learning
Would you want to learn how to utilize Python to produce machine learning models, but you think it would be too complicated for you?
Or maybe you like to automate simple stuff with your PC, but you do not know how to do it.
As a novice, you might think programming is complicated. Understanding artificial intelligence coding could take several months. Not to mention that the chance of giving up before perfecting it could be high. Therefore, you could think of employing a professional developer to shorten the time if you have time to develop.
That might look like a great solution, but it is surely very costly. You still have pay for the developer if he doesn't do the proper job you want. You know the best solution for this?
The perfect solution is to follow a complete programming manual with hands-on projects as well as practical exercises. This book is structured as a course with six chapters.
Inside the book, you will be able to go through a first section in which basic and fundamental notions of deep learning are mention, to get to the next chapters made to help you learn advanced coding insights needed to build training data sets for the development of successful machine learning models.
In detail, you will learn:
- The Fundamentals of Machine Learning
- Machine-Learning Systems
- An Overview of Python for Machine Learning
- Understanding Python Libraries for Machine Learning
- Introducing Neural Networks and Deep Learning
- Practical Data Management
What makes this book different? The majority of books available on the market take a brief look into machine learning, presenting some of the subjects but never going deep. This book is not one of those.
Even if you are totally new to programming in 2020 or you're simply looking to widen your abilities as a programmer, this book is perfect for you!
Well, stress no more! Buy this book and also learn all...
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