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INTRODUCTION TO MACHINE LEARNING WITH PYTHON: A Beginner's Guide To Learn Concepts And Practical Solutions From Data. Methods, Benefits And Case Studies Applied To Artificial Intelligence (AI) - Softcover
Synopsis
What exactly is machine learning and why is it so valuable in the online business ?
Are you thinking of learning Python machine learning ?
This book teach well you the practical ways to do it !
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Machine Learning is a branch of AI that applied algorithms to learn from data and create predictions – this is important in predicting the world around us.
Python is a popular and open-source programming language. In addition, it is one of the most applied languages in artificial intelligence and other scientific fields.
Today, it is a top skill in high demand in the job market.
Machine learning has become an integral part of many commercial applications and research projects. Using Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.
Inside Introduction to Machine Learning with Python, you’ll learn:
Fundamental concepts and applications of machine learning
Understand the various categories of machine learning algorithms.
Some of the branches of Artificial Intelligence
The basics of Python
Concepts of Machine Learning using Python
Python Machine Learning Applications
Machine Learning Case Studies with Python
The way that Python evolved throughout time
And many more
Throughout the recent years, artificial intelligence and machine learning have made some enormous, significant strides in terms of universal, global applicability. You’ll discover the steps required to develop a successful machine-learning application using Python.
Introduction to Machine Learning with Python is a step-by-step guide for any person who wants to start learning Artificial Intelligence - It will help you in preparing a solid foundation and learn any other high-level courses.
Stay ahead and make a choice that will last...
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★★★ Buy the Paperback version and get the Kindle Book versions for FREE ★★★
"synopsis" may belong to another edition of this title.
- PublisherIndependently published
- Publication date2019
- ISBN 10 109675536X
- ISBN 13 9781096755364
- BindingPaperback
- LanguageEnglish
- Number of pages147
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