Everyone is talking about Machine Learning and AI. Chatbots, self-driving cars, medical diagnoses, fraud detection... Algorithms are making decisions that shape our daily life.
And yet, when we try to learn how any of it works, we hit a wall of equations, jargon, and textbooks written for PhD students. This book was written to break down that wall.
Machine Learning Intuition teaches you the core ideas behind ML, not with heavy mathematics, but with clear explanations and simple visuals. You will understand how an algorithm learns from examples, why it makes the predictions it does, and how the full ML workflow fits together.
By the end, you will be able to:
"synopsis" may belong to another edition of this title.
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. Everyone is talking about Machine Learning and AI. Chatbots, self-driving cars, medical diagnoses, fraud detection. Algorithms are making decisions that shape our daily life. And yet, when we try to learn how any of it works, we hit a wall of equations, jargon, and textbooks written for PhD students. This book was written to break down that wall. Machine Learning Intuition teaches you the core ideas behind ML, not with heavy mathematics, but with clear explanations and simple visuals. You will understand how an algorithm learns from examples, why it makes the predictions it does, and how the full ML workflow fits together. By the end, you will be able to: Explain what Machine Learning actually is (and is not)Understand how models like k-Nearest Neighbours and Decision Trees workMake sense of model evaluation, data preprocessing, and feature engineeringFollow an end-to-end ML project from raw data to predictionSee how modern generative AI connects to these foundationsNo prior experience required. No degree needed. Just curiosity. If you have ever wanted to truly understand AI, this is the book to start with. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798243365819
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Print on Demand. Seller Inventory # I-9798243365819
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798243365819
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9798243365819
Quantity: Over 20 available
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Everyone is talking about Machine Learning and AI. Chatbots, self-driving cars, medical diagnoses, fraud detection. Algorithms are making decisions that shape our daily life. And yet, when we try to learn how any of it works, we hit a wall of equations, jargon, and textbooks written for PhD students. This book was written to break down that wall. Machine Learning Intuition teaches you the core ideas behind ML, not with heavy mathematics, but with clear explanations and simple visuals. You will understand how an algorithm learns from examples, why it makes the predictions it does, and how the full ML workflow fits together. By the end, you will be able to: Explain what Machine Learning actually is (and is not)Understand how models like k-Nearest Neighbours and Decision Trees workMake sense of model evaluation, data preprocessing, and feature engineeringFollow an end-to-end ML project from raw data to predictionSee how modern generative AI connects to these foundationsNo prior experience required. No degree needed. Just curiosity. If you have ever wanted to truly understand AI, this is the book to start with. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798243365819
Quantity: 1 available