Machine Learning Essentials Algorithms And Applications
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Machine Learning Essentials: Algorithms and Applications
Author: Mrs.Shambhavi
language: en
Publisher: SK Research Group of Companies
Release Date: 2025-04-10
Mrs.Shambhavi, Assistant Professor, Department of Computer Science and Engineering, Don Bosco Institute of Technology, Bangalore, Karnataka, India. Ms.Sinchana K.P, Assistant Professor, Department of Computer Science and Engineering, Don Bosco Institute of Technology, Bangalore, Karnataka, India. Mrs.Thejaswini D, Assistant Professor, Department of Computer Science and Engineering, Don Bosco Institute of Technology, Bangalore, Karnataka, India. Mrs.Geethanjali S.G, Assistant Professor, Department of Computer Science and Engineering, Don Bosco Institute of Technology, Bangalore, Karnataka, India.
Machine Learning Essentials and it's Application
Author: Prof. Yogendra Kumar
language: en
Publisher: Academic Guru Publishing House
Release Date: 2024-08-05
The book "Machine Learning Essentials and Its Applications" is an informative investigation of the basic concepts of machine learning as well as the many applications of this fascinating field. The fundamental ideas, methods, and algorithms that provide the foundation of machine learning are presented in this book in a format that is designed to lead readers through the process. In order to ensure that the reader has a complete grasp of the discipline, it covers a broad variety of topics, such as supervised and unsupervised learning, neural networks, natural language processing, and computer vision. In addition to providing theoretical information, the book has an emphasis on practical applications, demonstrating how machine learning can be used in a variety of fields, including healthcare, finance, transportation, and entertainment, among others. Every chapter contains case studies and hands-on activities to help readers get a more in-depth grasp of the subject matter and to motivate them to apply what they have learnt in the classroom to situations that they will encounter in the real world. The purpose of this book is to serve as a vital resource for everyone who is interested in understanding the transformational potential of machine learning. It was designed for students, instructors, and industry experts. The book "Machine Learning Essentials and Its Applications" is a necessary travel companion on iv the path to becoming an expert in this rapidly evolving topic since it provides lucid explanations, examples that illustrate the concepts, and important insights.
Machine Learning Essentials You Always Wanted to Know
· Covers key algorithms and techniques · Ideal for students and professionals · Hands-on implementation included Master the fundamentals of ML and take the first step towards a career in AI! In today’s rapidly evolving world, machine learning (ML) is no longer just for researchers or data scientists. From personalized recommendations on streaming platforms to fraud detection in banking, ML powers many aspects of our daily lives. As industries increasingly adopt AI-driven solutions, learning machine learning has become a valuable skill. Yet, many find the subject overwhelming, often intimidated by its mathematical complexity. That’s where Machine Learning Essentials You Always Wanted to Know (Machine Learning Essentials) comes in. This beginner-friendly guide offers a structured, step-by-step approach to understanding machine learning concepts without unnecessary jargon. Whether you are a student, a professional looking to transition into AI, or simply curious about how machines learn, this book provides a clear and practical roadmap to mastering ML. Authored by Dhairya Parikh, an experienced data engineer who returned to academia to refine his expertise, this book bridges the gap between theory and real-world application. It simplifies the core concepts of ML, breaking them down into digestible explanations paired with hands-on coding exercises to help you apply what you learn. What You’ll Learn: · The fundamentals of machine learning and how it powers modern technology · The three key types of ML—Supervised, Unsupervised, and Reinforcement Learning · How to combine algorithms, data, and models to develop AI-driven solutions · Practical coding techniques to build and implement machine learning models Part of Vibrant Publishers’ Self-Learning Management Series, this book serves as a valuable guide for building machine learning skills, enhancing your expertise, and advancing your career in AI and data science.