Czytaj tylko na LitRes

Książki nie można pobrać jako pliku, ale można ją czytać w naszej aplikacji lub online na stronie.

Основной контент книги Fundamentals and Methods of Machine and Deep Learning
Tekst PDF

Objętość 470 stron

0+

Fundamentals and Methods of Machine and Deep Learning

Algorithms, Tools, and Applications
Czytaj tylko na LitRes

Książki nie można pobrać jako pliku, ale można ją czytać w naszej aplikacji lub online na stronie.

982,40 zł

O książce

FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field. The goal of this book is to present a??practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. Supervised machine learning algorithms, ensemble machine learning algorithms, feature selection, deep learning techniques, and their applications are discussed. Also included in the eighteen chapters is unique information which provides a clear understanding of concepts by using algorithms and case studies illustrated with applications of machine learning and deep learning in different domains, including disease prediction, software defect prediction, online television analysis, medical image processing, etc. Each of the chapters briefly described below provides both a chosen approach and its implementation. Audience Researchers and engineers in artificial intelligence, computer scientists as well as software developers.

Gatunki i tagi

Zaloguj się, aby ocenić książkę i zostawić recenzję
Książka «Fundamentals and Methods of Machine and Deep Learning» — czytaj online na stronie. Zostaw komentarze i recenzje, głosuj na ulubione.
Ograniczenie wiekowe:
0+
Objętość:
470 str.
ISBN:
9781119821892
Całkowity rozmiar:
21 МБ
Całkowita liczba stron:
470
Wydawca:
Właściciel praw:
John Wiley & Sons Limited
Audio
Średnia ocena 4,1 na podstawie 256 ocen
Szkic, format audio dostępny
Średnia ocena 4,8 na podstawie 245 ocen
Tekst
Średnia ocena 4,9 na podstawie 14 ocen
18+
Tekst
Średnia ocena 4,9 na podstawie 166 ocen
Tekst, format audio dostępny
Średnia ocena 4,6 na podstawie 7 ocen
Szkic
Średnia ocena 5 na podstawie 32 ocen
Tekst PDF
Średnia ocena 0 na podstawie 0 ocen
Tekst
Średnia ocena 0 na podstawie 0 ocen