Machine Learning and its Applications  PDF & ePUB Download
PDF, ePUB
 eBook:Machine Learning and its Applications
 Author:Peter Wlodarczak
 Edition:1 edition
 Categories:
 Data:November 4, 2019
 ISBN:1138328227
 ISBN13:9781138328228
 Language:English
 Pages:204 pages
 Format:PDF, ePUB
Description of Machine Learning and its Applications ebook
This book describes the most common machine learning techniques such as Bayesian models, support vector machines, decision tree induction, regression analysis, and recurrent and convolutional neural networks. It first gives an introduction into the principles of machine learning. It then covers the basic methods including the mathematical foundations. The biggest part of the book provides common machine learning algorithms and their applications. Finally, the book gives an outlook into some of the future developments and possible new research areas of machine learning and artificial intelligence in general.
This book is meant to be an introduction into machine learning. It does not require prior knowledge in this area. It covers some of the basic mathematical principle but intends to be understandable even without a background in mathematics. It can be read chapter wise and intends to be comprehensible, even when not starting in the beginning. Finally, it also intends to be a reference book.
Key Features:
 Describes real world problems that can be solved using Machine Learning
 Provides methods for directly applying Machine Learning techniques to concrete real world problems
 Demonstrates how to apply Machine Learning techniques using different frameworks such as TensorFlow, MALLET, R

Content
1. Introduction
2. Machine Learning Basics
SECTION II: MACHINE LEARNING
3. Data Preprocessing
4. Supervised Learning
5. Evaluation of Learner
6. Unsupervised Learning
7. Semisupervised Learning
SECTION III: DEEP LEARNING
8. Deep Learning
SECTION IV: LEARNING TECHNIQUES
9. Learning Techniques
SECTION V: MACHINE LEARNING APPLICATIONS
10. Machine Learning Applications
11. Future Development
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