Название: Python Machine Learning: How to learn Machine Learning with Python. The Complete Guide to Understand Python Machine Learning for Beginners and Artificial Intelligence Автор: Oliver Soranson
Издательство: Independently published
Год: 2019
Страниц: 127
Язык: английский
Формат: pdf, azw, epub
Размер: 10.1 MB
If you have ever asked yourself questions about the basic or especially the complex predictions and conclusions machines are making these days, then your answer lies in Machine Learning (ML). Human beings have different ways in which they learn, some of the methods including experience or even having someone teach them. Therefore, to try to make machines even more useful to human beings, it is possible to teach machines to make decisions in several ways, and these can learn and have faster and more accurate output compared to how a human being would compete.
People usually understand the concept of how a machine will do something you have programmed it to do because people came to terms with that years ago. However, what still fascinates people is how a machine is able to make decisions independently by considering a situation and even making a prediction that turns out to be true.
Machine Learning is at a very high-level today when you compare to a few years back, so that would make you wonder just how advanced machines will be in the next 20 to 30 years. It is highly likely that machines will become better versions of us, but we hope they will never get so independent and intelligent that they eventually decide to rule over us.
The objective of writing this book is to help a beginner to understand the basics of machine learning to the point of even training a machine to carry out some functions. This book also explains the advantages associated with using Python, since an individual does not necessarily have to be an expert coder to start using it.
Contents:
Introduction
Chapter 1: Introduction (A Small History of Machine Learning)
Chapter 2: The Concept of Machine Learning
Chapter 3: Mathematical Notation, Basic Terminology, and Building Machine Learning Systems
Chapter 4: Using Python for Machine Learning
Chapter 5: Artificial Neural Networks
Chapter 6: Machine Learning Classification
Chapter 7: Machine Learning Training Model
Chapter 8: Developing a Machine Learning Model with Python
Chapter 9: Training Simple Machine Learning Algorithms for Classification
Chapter 10: Building Good Training Sets
Conclusion
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