Machine Learning And Its Applications
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Importance of Machine Learning and Its Applications
Author: Dr.Araddhana Arvind Deshmukh
language: en
Publisher: Blue Rose Publishers
Release Date: 2022-10-14
The book basically will focus on the importance of Machine Learning in real world and also focus on the various applications of the same. This will help the beginners to generate interest in learning and also helps in understanding where the concept is to be used.
Machine Learning and Its Application: A Quick Guide for Beginners
Author: Indranath Chatterjee
language: en
Publisher: Bentham Science Publishers
Release Date: 2021-12-22
Machine Learning and Its Application: A Quick Guide for Beginners aims to cover most of the core topics required for study in machine learning curricula included in university and college courses. The textbook introduces readers to central concepts in machine learning and artificial intelligence, which include the types of machine learning algorithms and the statistical knowledge required for devising relevant computer algorithms. The book also covers advanced topics such as deep learning and feature engineering. Key features: - 8 organized chapters on core concepts of machine learning for learners - Accessible text for beginners unfamiliar with complex mathematical concepts - Introductory topics are included, including supervised learning, unsupervised learning, reinforcement learning and predictive statistics - Advanced topics such as deep learning and feature engineering provide additional information - Introduces readers to python programming with examples of code for understanding and practice - Includes a summary of the text and a dedicated section for references Machine Learning and Its Application: A Quick Guide for Beginners is an essential book for students and learners who want to understand the basics of machine learning and equip themselves with the knowledge to write algorithms for intelligent data processing applications.
Machine Learning and Its Applications
Author: Georgios Paliouras
language: en
Publisher: Springer Science & Business Media
Release Date: 2001-08-01
In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.