What Is Machine Learning And Its Applications
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Machine Learning and Its Applications
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.
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.
Fundamentals of Machine Learning and Its Applications
Author: Ms. Priyanka Sharma
language: en
Publisher: Academic Guru Publishing House
Release Date: 2023-09-04
Fundamentals of Machine Learning and Its Applications serve as an indispensable guide for both novices and seasoned professionals delving into the intricate realm of machine learning. Authored with precision and clarity, this book navigates the multifaceted landscape of machine learning, unravelling its core concepts, methodologies, and practical implementations. The book adeptly commences by elucidating the foundational principles that underpin machine learning, progressively leading the reader through a comprehensive journey of understanding. It demystifies intricate algorithms, presenting them in a digestible manner, while also shedding light on the mathematical and statistical underpinnings that govern their functioning. One of the distinguishing features of this literary work lies in its emphasis on real-world applications. Through illuminating case studies and examples spanning diverse domains, including image recognition, natural language processing, and recommendation systems, the book bridges the gap between theory and application. This allows readers to not only grasp theoretical nuances but also to harness this knowledge in pragmatic scenarios. In a rapidly evolving field, staying abreast of the latest trends and advancements is crucial. The book acknowledges this by incorporating a section dedicated to contemporary developments, such as deep learning and neural networks. By doing so, it equips learners with insights that reflect the current state of the discipline. Fundamentals of Machine Learning and Its Applications stand as an indispensable resource, fostering a holistic comprehension of machine learning's bedrock principles and its diverse real-world implementations. It caters to eager learners aiming to fortify their expertise in this transformative domain.