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Machine Learning: The New Ai (The Mit Press Essential Knowledge Series),Used
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A Concise Overview Of Machine Learningcomputer Programs That Learn From Datawhich Underlies Applications That Include Recommendation Systems, Face Recognition, And Driverless Cars.Today, Machine Learning Underlies A Range Of Applications We Use Every Day, From Product Recommendations To Voice Recognitionas Well As Some We Don'T Yet Use Everyday, Including Driverless Cars. It Is The Basis Of The New Approach In Computing Where We Do Not Write Programs But Collect Data; The Idea Is To Learn The Algorithms For The Tasks Automatically From Data. As Computing Devices Grow More Ubiquitous, A Larger Part Of Our Lives And Work Is Recorded Digitally, And As Big Data Has Gotten Bigger, The Theory Of Machine Learningthe Foundation Of Efforts To Process That Data Into Knowledgehas Also Advanced. In This Book, Machine Learning Expert Ethem Alpaydin Offers A Concise Overview Of The Subject For The General Reader, Describing Its Evolution, Explaining Important Learning Algorithms, And Presenting Example Applications.Alpaydin Offers An Account Of How Digital Technology Advanced From Numbercrunching Mainframes To Mobile Devices, Putting Today'S Machine Learning Boom In Context. He Describes The Basics Of Machine Learning And Some Applications; The Use Of Machine Learning Algorithms For Pattern Recognition; Artificial Neural Networks Inspired By The Human Brain; Algorithms That Learn Associations Between Instances, With Such Applications As Customer Segmentation And Learning Recommendations; And Reinforcement Learning, When An Autonomous Agent Learns Act So As To Maximize Reward And Minimize Penalty. Alpaydin Then Considers Some Future Directions For Machine Learning And The New Field Of Data Science, And Discusses The Ethical And Legal Implications For Data Privacy And Security.
⚠️ 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: What is the size of the book? A: The book measures five point one three inches in length, zero point four eight inches in width, and seven point zero one inches in height.
- Q: How many pages does this book have? A: This book contains two hundred thirty pages, providing a comprehensive overview of machine learning.
- Q: What binding does the book have? A: The book is available in paperback binding, making it lightweight and portable.
- Q: What is the main topic of the book? A: The book focuses on machine learning, explaining its evolution, algorithms, and real-world applications.
- Q: Who is the author of the book? A: The author of the book is Ethem Alpaydin, a recognized expert in machine learning.
- Q: Is this book suitable for beginners? A: Yes, this book is designed for general readers and is suitable for beginners interested in machine learning.
- Q: How can I apply the concepts from the book? A: You can apply the concepts by exploring machine learning in real-world applications like recommendation systems and data analysis.
- Q: Is this book appropriate for advanced readers? A: Yes, while it is beginner-friendly, advanced readers can benefit from its concise overview and insights into future directions.
- Q: What should I know before reading this book? A: A basic understanding of data science may enhance your experience, but it's written to be accessible for all readers.
- Q: How should I store the book? A: Store the book in a cool, dry place to maintain its condition and prevent damage to the pages.
- Q: Is there any special care needed for this book? A: No special care is needed, but avoid exposure to moisture and direct sunlight to preserve its quality.
- Q: What if the book arrives damaged? A: If the book arrives damaged, please contact customer support for assistance with returns or exchanges.
- Q: What is the return policy for this book? A: The return policy allows for returns within a specified period if the book is in original condition.
- Q: Can I get support if I have issues understanding the content? A: Yes, you can seek support from online forums or communities focused on machine learning for additional help.
- Q: Is the book safe for young readers? A: Yes, the book is safe for young readers, though it is recommended for those with an interest in technology.
- Q: What makes this book unique? A: This book stands out for its clear explanations and context on the evolution and future of machine learning.