你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

Select your country

Americas

Europe

Rest of the world

portada Machine Learning Methods for Engineering Application Development
Type
Physical Book
Language
English
Pages
240
Format
Paperback
Dimensions
25.4 x 17.8 x 1.6 cm
Weight
0.59 kg.
ISBN13
9789815079203

Machine Learning Methods for Engineering Application Development

Verma, Basant ; Thillaiarasu, N. ; Kumar, Kailash (Author) · Bentham Science Publishers · Paperback

Machine Learning Methods for Engineering Application Development - Verma, Basant ; Thillaiarasu, N. ; Kumar, Kailash

New Book Imported to Taiwan
Delivery: 04 Sep - 14 Sep Shipping: 4 to 5 business days.
NT$ 2,787
NT$ 2,787

Synopsis "Machine Learning Methods for Engineering Application Development"

This book is a quick review of machine learning methods for engineeringapplications. It provides an introduction to the principles of machine learningand common algorithms in the first section. Proceeding chapters summarize andanalyze the existing scholarly work and discuss some general issues in this field.Next, it offers some guidelines on applying machine learning methods to softwareengineering tasks. Finally, it gives an outlook into some of the futuredevelopments and possibly new research areas of machine learning and artificialintelligence in general.Techniques highlighted in the book include: Bayesian models, supportvector machines, decision tree induction, regression analysis, and recurrent andconvolutional neural network. Finally, it also intends to be a reference book. Key Features: Describes real-world problems that can be solved using machine learningExplains methods for directly applying machine learning techniques to concrete real-world problemsExplains concepts used in Industry 4.0 platforms, including the use and integration of AI, ML, Big Data, NLP, and the Internet of Things (IoT). It does not require prior knowledge of the machine learning This book is meantto be an introduction to artificial intelligence (AI), machine earning, and itsapplications in Industry 4.0. It explains the basic mathematical principlesbut is intended to be understandable for readers who do not have a backgroundin advanced mathematics

Customers reviews

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews