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Machine Learning: Concepts, Tools and Techniques
Then you have landed in the right place.
The overall aim of this book is to explore and examine key concepts, methods and techniques used in the Machine Learning.
Machines have come a part of our lives. No matter where you go, you will always find a machine around you, but it is only over the last few years that we have understood and enhanced the capabilities of machines. Machines can now perform tasks that involve the simulation of cognition, which is a task that until recently only human beings could accomplish.
The ever-growing capabilities of machines are instilling a sense of fear among observers. What if machines became more intelligent than human beings become and decided to eliminate any human being who was not so smart as them?
Machine learning is not as simple as turning a switch on and off. It is not an out-of-the-box solution either. Machines and statistical algorithms work in parallel with each other.
This book will help you explore exactly what Machine learning is and will introduce the reader the concepts, techniques, application of Machine Learning Algorithms with the practical case studies and walk-through examples to practice. By the time you are done reading this book, you will have a complete understanding as to what Machine Learning is.
Following are the important points discussed in this
First Introduction to Machine Learning
Second Types of Machine Learning
Third Techniques and Algorithms of Machine Learning
Part 4: Problems in Machine Learning
Book Objectives
Target Users
This book designed for a variety of target audiences. The most suitable users would
Scroll to the top and click on 'buy now' to get started.
The overall aim of this book is to explore and examine key concepts, methods and techniques used in the Machine Learning.
Machines have come a part of our lives. No matter where you go, you will always find a machine around you, but it is only over the last few years that we have understood and enhanced the capabilities of machines. Machines can now perform tasks that involve the simulation of cognition, which is a task that until recently only human beings could accomplish.
The ever-growing capabilities of machines are instilling a sense of fear among observers. What if machines became more intelligent than human beings become and decided to eliminate any human being who was not so smart as them?
Machine learning is not as simple as turning a switch on and off. It is not an out-of-the-box solution either. Machines and statistical algorithms work in parallel with each other.
This book will help you explore exactly what Machine learning is and will introduce the reader the concepts, techniques, application of Machine Learning Algorithms with the practical case studies and walk-through examples to practice. By the time you are done reading this book, you will have a complete understanding as to what Machine Learning is.
Following are the important points discussed in this
First Introduction to Machine Learning
Second Types of Machine Learning
Third Techniques and Algorithms of Machine Learning
Part 4: Problems in Machine Learning
Book Objectives
Target Users
This book designed for a variety of target audiences. The most suitable users would
Scroll to the top and click on 'buy now' to get started.
177 pages, Kindle Edition
Published November 1, 2017
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4 people want to read
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