ISBN: 9781633434813 - grokking ai algorithms, second edition: how ai solves complex problems (26 resultados)

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Librería: BooksRun, Philadelphia, PA, Estados Unidos de AmericaBooksRun
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Paperback. Condición: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 64,00
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Hardcover. Condición: new. Hardcover. Artificial intelligence can seem complex, but the ideas behind it can be understood step by step. To use AI well, you need to know how it works and not just what it does. This book explains the core ideas in a clear and simple way. It makes the maths easier to follow and shows how to build AI from basic principles. You will see how different AI methods connect and how to apply them in practice. Learn how to pick the right algorithm for each AI problem. Understand the fundamentals of search, which is the foundation of modern AI. Build intelligent agents to solve puzzles and find solutions using genetic algorithms. Make predictions with neural networks and see how AI improves with reinforcement learning. Build a large language model pipeline and an image diffusion model from scratch. Grokking AI Algorithms teaches the ideas behind AI in a clear and simple way. It explains concepts step by step with easy examples and simple pseudocode. You will build a strong understanding of how different AI methods fit together and then implement them with minimal code. You will also apply what you learn through practical projects, such as solving a maze, training an agent to park and exploring how text is generated. After reading this book, you will understand how AI works at a deeper level. You will be able to build your own AI applications and understand the models behind modern generative AI. This book is for readers with basic to intermediate programming skills and high school-level mathematics. No prior experience in AI is needed. Artificial intelligence algorithms are the backbone of search and optimisation, deep learning, reinforcement learning, and, of course, generative AI. Grokking AI Algorithms, Second Edition, introduces the most important AI algorithms using relatable illustrations, interesting examples, and thought-provoking exercises. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de AmericaRarewaves USA
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Hardback. Condición: New. Artificial intelligence can seem complex, but the ideas behind it can be understood step by step. To use AI well, you need to know how it works and not just what it does. This book explains the core ideas in a clear and simple way. It makes the maths easier to follow and shows how to build AI from basic principles. You will see how different AI methods connect and how to apply them in practice. Learn how to pick the right algorithm for each AI problem. Understand the fundamentals of search, which is the foundation of modern AI. Build intelligent agents to solve puzzles and find solutions using genetic algorithms. Make predictions with neural networks and see how AI improves with reinforcement learning. Build a large language model pipeline and an image diffusion model from scratch. Grokking AI Algorithms teaches the ideas behind AI in a clear and simple way. It explains concepts step by step with easy examples and simple pseudocode. You will build a strong understanding of how different AI methods fit together and then implement them with minimal code. You will also apply what you learn through practical projects, such as solving a maze, training an agent to park and exploring how text is generated. After reading this book, you will understand how AI works at a deeper level. You will be able to build your own AI applications and understand the models behind modern generative AI. This book is for readers with basic to intermediate programming skills and high school-level mathematics. No prior experience in AI is needed.…

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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Librería: Books Puddle, Woodside, NY, Estados Unidos de AmericaBooks Puddle
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 81,74
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Hardback. Condición: New. Artificial intelligence can seem complex, but the ideas behind it can be understood step by step. To use AI well, you need to know how it works and not just what it does. This book explains the core ideas in a clear and simple way. It makes the maths easier to follow and shows how to build AI from basic principles. You will see how different AI methods connect and how to apply them in practice. Learn how to pick the right algorithm for each AI problem. Understand the fundamentals of search, which is the foundation of modern AI. Build intelligent agents to solve puzzles and find solutions using genetic algorithms. Make predictions with neural networks and see how AI improves with reinforcement learning. Build a large language model pipeline and an image diffusion model from scratch. Grokking AI Algorithms teaches the ideas behind AI in a clear and simple way. It explains concepts step by step with easy examples and simple pseudocode. You will build a strong understanding of how different AI methods fit together and then implement them with minimal code. You will also apply what you learn through practical projects, such as solving a maze, training an agent to park and exploring how text is generated. After reading this book, you will understand how AI works at a deeper level. You will be able to build your own AI applications and understand the models behind modern generative AI. This book is for readers with basic to intermediate programming skills and high school-level mathematics. No prior experience in AI is needed.…

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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 592 pages. 7.38x1.48x9.25 inches. In Stock.

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Librería: Russell Books, Victoria, BC, CanadaRussell Books
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paperback. Condición: New. Special order direct from the distributor.

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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 592 pages. 7.38x1.48x9.25 inches. In Stock.

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Hardcover. Condición: new. Hardcover. Artificial intelligence can seem complex, but the ideas behind it can be understood step by step. To use AI well, you need to know how it works and not just what it does. This book explains the core ideas in a clear and simple way. It makes the maths easier to follow and shows how to build AI from basic principles. You will see how different AI methods connect and how to apply them in practice. Learn how to pick the right algorithm for each AI problem. Understand the fundamentals of search, which is the foundation of modern AI. Build intelligent agents to solve puzzles and find solutions using genetic algorithms. Make predictions with neural networks and see how AI improves with reinforcement learning. Build a large language model pipeline and an image diffusion model from scratch. Grokking AI Algorithms teaches the ideas behind AI in a clear and simple way. It explains concepts step by step with easy examples and simple pseudocode. You will build a strong understanding of how different AI methods fit together and then implement them with minimal code. You will also apply what you learn through practical projects, such as solving a maze, training an agent to park and exploring how text is generated. After reading this book, you will understand how AI works at a deeper level. You will be able to build your own AI applications and understand the models behind modern generative AI. This book is for readers with basic to intermediate programming skills and high school-level mathematics. No prior experience in AI is needed. Artificial intelligence algorithms are the backbone of search and optimisation, deep learning, reinforcement learning, and, of course, generative AI. Grokking AI Algorithms, Second Edition, introduces the most important AI algorithms using relatable illustrations, interesting examples, and thought-provoking exercises. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Taschenbuch. Condición: Neu. Neuware - Artificial intelligence algorithms are the backbone of search and optimisation, deep learning, reinforcement learning, and, of course, generative AI. Grokking AI Algorithms, Second Edition, introduces the most important AI algorithms using relatable illustrations, interesting examples, and thought-provoking exercises.…

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Hardback. Condición: New. Artificial intelligence can seem complex, but the ideas behind it can be understood step by step. To use AI well, you need to know how it works and not just what it does. This book explains the core ideas in a clear and simple way. It makes the maths easier to follow and shows how to build AI from basic principles. You will see how different AI methods connect and how to apply them in practice. Learn how to pick the right algorithm for each AI problem. Understand the fundamentals of search, which is the foundation of modern AI. Build intelligent agents to solve puzzles and find solutions using genetic algorithms. Make predictions with neural networks and see how AI improves with reinforcement learning. Build a large language model pipeline and an image diffusion model from scratch. Grokking AI Algorithms teaches the ideas behind AI in a clear and simple way. It explains concepts step by step with easy examples and simple pseudocode. You will build a strong understanding of how different AI methods fit together and then implement them with minimal code. You will also apply what you learn through practical projects, such as solving a maze, training an agent to park and exploring how text is generated. After reading this book, you will understand how AI works at a deeper level. You will be able to build your own AI applications and understand the models behind modern generative AI. This book is for readers with basic to intermediate programming skills and high school-level mathematics. No prior experience in AI is needed.…

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Condición: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

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Hardcover. Condición: new. Hardcover. Artificial intelligence can seem complex, but the ideas behind it can be understood step by step. To use AI well, you need to know how it works and not just what it does. This book explains the core ideas in a clear and simple way. It makes the maths easier to follow and shows how to build AI from basic principles. You will see how different AI methods connect and how to apply them in practice. Learn how to pick the right algorithm for each AI problem. Understand the fundamentals of search, which is the foundation of modern AI. Build intelligent agents to solve puzzles and find solutions using genetic algorithms. Make predictions with neural networks and see how AI improves with reinforcement learning. Build a large language model pipeline and an image diffusion model from scratch. Grokking AI Algorithms teaches the ideas behind AI in a clear and simple way. It explains concepts step by step with easy examples and simple pseudocode. You will build a strong understanding of how different AI methods fit together and then implement them with minimal code. You will also apply what you learn through practical projects, such as solving a maze, training an agent to park and exploring how text is generated. After reading this book, you will understand how AI works at a deeper level. You will be able to build your own AI applications and understand the models behind modern generative AI. This book is for readers with basic to intermediate programming skills and high school-level mathematics. No prior experience in AI is needed. Artificial intelligence algorithms are the backbone of search and optimisation, deep learning, reinforcement learning, and, of course, generative AI. Grokking AI Algorithms, Second Edition, introduces the most important AI algorithms using relatable illustrations, interesting examples, and thought-provoking exercises. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condición: New. 2026. paperback. . . . . .

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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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Hardback. Condición: New. Artificial intelligence can seem complex, but the ideas behind it can be understood step by step. To use AI well, you need to know how it works and not just what it does. This book explains the core ideas in a clear and simple way. It makes the maths easier to follow and shows how to build AI from basic principles. You will see how different AI methods connect and how to apply them in practice. Learn how to pick the right algorithm for each AI problem. Understand the fundamentals of search, which is the foundation of modern AI. Build intelligent agents to solve puzzles and find solutions using genetic algorithms. Make predictions with neural networks and see how AI improves with reinforcement learning. Build a large language model pipeline and an image diffusion model from scratch. Grokking AI Algorithms teaches the ideas behind AI in a clear and simple way. It explains concepts step by step with easy examples and simple pseudocode. You will build a strong understanding of how different AI methods fit together and then implement them with minimal code. You will also apply what you learn through practical projects, such as solving a maze, training an agent to park and exploring how text is generated. After reading this book, you will understand how AI works at a deeper level. You will be able to build your own AI applications and understand the models behind modern generative AI. This book is for readers with basic to intermediate programming skills and high school-level mathematics. No prior experience in AI is needed.…