Machine Learning and its Applications
Autor Peter Wlodarczaken Limba Engleză Hardback – 4 noi 2019
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.
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Specificații
ISBN-13: 9781138328228
ISBN-10: 1138328227
Pagini: 204
Ilustrații: 52
Dimensiuni: 156 x 234 x 15 mm
Greutate: 0.5 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
ISBN-10: 1138328227
Pagini: 204
Ilustrații: 52
Dimensiuni: 156 x 234 x 15 mm
Greutate: 0.5 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
Cuprins
1.Introduction. 2. Machine Learning Basics. 3. Data Pre-Processing. 4. Feature Extraction. 5. Data Mining Algorithms. 6.Supervised Learning. 7. Clustering. 8. Semi-Supervised Learning. 9. Learning Techniques. 10. Association Rules. 11. DeepLearning. 12. Predictive Analytics. 13. Machine Learning Applications. 14. Ethical Considerations. 15. Future Development.
Notă biografică
Biography:
Peter Wlodarczakis an IT consultant in Data Analytics and Machine Learning. Born in Basel, Switzerland, he holds a Master degree and a PhD from the University of Southern Queensland, Australia. He has many years of experience in large software engineering and data analysis projects. He has published more than 20 papers and book chapters in this area and has presented his work on many conferences. His research interests include among other Machine Learning, eHealth and Bio computing.
Peter Wlodarczakis an IT consultant in Data Analytics and Machine Learning. Born in Basel, Switzerland, he holds a Master degree and a PhD from the University of Southern Queensland, Australia. He has many years of experience in large software engineering and data analysis projects. He has published more than 20 papers and book chapters in this area and has presented his work on many conferences. His research interests include among other Machine Learning, eHealth and Bio computing.
Descriere
This book describes Machine Learning techniques and algorithms that have been used in recent real-world application. It provides an introduction to Machine Learning, describes the most widely used techniques and methods. It also covers Deep Learning and related areas such as function approximation or.