Title
Machine Learning,Used
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This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does this book have? A: This book contains four hundred thirty-two pages. It provides a comprehensive overview of machine learning concepts.
- Q: What are the dimensions of the book? A: The book measures six point six one inches in length, one point three inches in width, and nine point five inches in height. These dimensions make it a manageable size for reading.
- Q: What type of binding does this book have? A: This book is a hardcover edition. The hardcover binding provides durability for repeated use.
- Q: Who is the author of the book? A: The author of the book is Tom M. Mitchell. He is well-known in the field of machine learning.
- Q: What is the main subject of the book? A: The main subject of the book is machine learning. It covers algorithms that allow programs to improve automatically.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for upper-level undergraduate and introductory-level graduate students. It is structured to support learning for those new to machine learning.
- Q: What kind of courses can this book support? A: This book supports courses in machine learning at undergraduate and introductory graduate levels. It is designed to facilitate understanding of complex topics.
- Q: Can this book be used for self-study? A: Yes, this book is suitable for self-study. It provides detailed explanations of concepts that can be followed independently.
- Q: Is this book appropriate for high school students? A: No, this book is primarily targeted at upper-level undergraduate students. It may be too advanced for most high school students.
- Q: How should I care for this book? A: To care for this book, keep it in a dry place and avoid exposing it to direct sunlight. This will help preserve its condition.
- Q: What is the recommended storage method for this book? A: Store this book upright on a shelf or in a bookcase. This will prevent damage to the spine and pages.
- Q: Can I return the book if I am not satisfied? A: Yes, you can return the book according to the retailer's return policy. Be sure to check the specific terms for returns.
- Q: What should I do if the book arrives damaged? A: If the book arrives damaged, contact the seller immediately for a resolution. They will typically provide instructions for returns or exchanges.
- Q: Does this book include exercises or examples? A: Yes, the book includes exercises and examples to reinforce learning. These practical applications help solidify understanding of concepts.
- Q: Is there a companion website or online resources? A: No, this book does not come with a companion website. However, it may reference online resources for further study.
- Q: What makes this book stand out from others in the field? A: This book is well-regarded for its clear explanations and comprehensive coverage of essential machine learning topics. It is often recommended for foundational learning.