Do you want to master the world of machine learning? ...... Even if you are a complete beginner with this amazing book!
The term Machine Learning refers to the capability of a machine to learn something without any pre existing program. This textbook aims to incorporate in a rational manner machine learning, as well as the algorithmic paradigms it provides. The book offers a detailed theoretical account of the core concepts that underlie Machine Learning and Data Science and translate these ideas into algorithms. Following a summary of the field's fundamentals, the book addresses a broad variety of core topics which previous books have not discussed. If you want to start from zero or to expand your knowledge of machine learning, this is an important book for you.
This book is your guide to Machine Learning and Information Sciences if you are anew Python programmer and new to machine learning or want to expand your understanding of the latest innovations.
This book includes:
- Machine Learning Introduction
- Why Machine Learning Have Become So Successful?
- Machine Learning Utilizations
- Applications of Machine Learning
- Artificial Intelligence and its Importance
- Machine Learning Algorithms Types
- Machine Learning Regression Techniques
- Random Forests vs Decision Trees
- What is an Artificial Neural Network?
- Why Should We Use Data Science and How it can help in Business?
- Why Python and Data Science Mix Well?
- Data Science Statistical Learning
- Machine Learning Algorithms for Data Science
- How Machine Learning Is Reshaping Marketing?
- Solutions for Small Businesses Using Big Data
If your level of knowledge is low and you don't have any previous experience, this book will empower you to learn key functionalities and navigate through various subjects smoothly. If you have already a good understanding, you will find useful insights that will help to enhance your competences.
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