Exploring the Challenges and Solutions of Deep Learning: An Introduction to the Fundamentals and Applications of Machine Learning

By Daniel Huston

Machine Learning for Absolute Beginners" is a book designed to introduce readers with no prior experience to the exciting and rapidly growing field of machine learning. Machine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions based on that learning. This book is written in a clear and approachable style, making it easy for readers to understand the core concepts and techniques of machine learning. It assumes no prior knowledge of the subject, and starts from the very basics, gradually building up the reader's understanding of the field. The book covers a wide range of topics, including data preprocessing, classification, regression, clustering, and deep learning. It also includes practical examples and hands-on exercises that allow readers to apply what they've learned and gain real-world experience in machine learning. Whether you are a student, a professional, or just someone interested in learning about machine learning, this book provides a solid foundation for understanding the fundamentals of this exciting field. By the end of the book, readers will have a strong understanding of the concepts and techniques of machine learning and will be well-equipped to tackle more advanced topics in the future.

• Format: Paperback
• Language: English
• ISBN: B0C8C2MBXT
• ISBN13: 9798211309555
• Release Date: June 2023
• Publisher: Blurb
• Length: 112 Pages
• Weight: 0.35 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"