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Machine Learning: Technical Guide for Beginners

Thomas Laville
4.9/5 (19106 ratings)
Read Now Download Now ⏭ listen AudioBook
Description:Thinking of learning more in Machine Learning Algorithms?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 as 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 introduce the reader some must use Machine Learning Algorithms with the practical case studies and walk-through examples to practice. It is a part of the book Machine Learning: Concepts, Techniques and Tools.Book ObjectivesThis book will help you to have a basic technical and visual knowledge about the following Machine Learning Algorithms:Linear Regression Modeling Decision Trees Bagging and Random Forest Algorithms Boosting Algorithms Principal Component Analysis K means K Nearest Neighbors Logistic Regression Naive Bayes Estimation Support Vector Machines Hierarchical Clustering Association Rules and Frequent Patterns Analysis Target UsersThis book designed for a variety of target audiences. The most suitable users would include:Beginners in Computer Science Techniques and Artificial Intelligence Professionals in Data scientist and Social Sciences Professors, lecturers, or tutors to be in position to find better ways to explain the content to their students with simples and easiest way The students and Academicians, especially those that are focusing on Machine Learning as their professionsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Machine Learning: Technical Guide for Beginners. To get started finding Machine Learning: Technical Guide for Beginners, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
—
Format
PDF, EPUB & Kindle Edition
Publisher
Createspace Independent Publishing Platform
Release
2017
ISBN
1981143963

Machine Learning: Technical Guide for Beginners

Thomas Laville
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
Description: Thinking of learning more in Machine Learning Algorithms?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 as 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 introduce the reader some must use Machine Learning Algorithms with the practical case studies and walk-through examples to practice. It is a part of the book Machine Learning: Concepts, Techniques and Tools.Book ObjectivesThis book will help you to have a basic technical and visual knowledge about the following Machine Learning Algorithms:Linear Regression Modeling Decision Trees Bagging and Random Forest Algorithms Boosting Algorithms Principal Component Analysis K means K Nearest Neighbors Logistic Regression Naive Bayes Estimation Support Vector Machines Hierarchical Clustering Association Rules and Frequent Patterns Analysis Target UsersThis book designed for a variety of target audiences. The most suitable users would include:Beginners in Computer Science Techniques and Artificial Intelligence Professionals in Data scientist and Social Sciences Professors, lecturers, or tutors to be in position to find better ways to explain the content to their students with simples and easiest way The students and Academicians, especially those that are focusing on Machine Learning as their professionsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Machine Learning: Technical Guide for Beginners. To get started finding Machine Learning: Technical Guide for Beginners, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
—
Format
PDF, EPUB & Kindle Edition
Publisher
Createspace Independent Publishing Platform
Release
2017
ISBN
1981143963

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