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Machine Learning Intuition: Uncovering the simple ideas behind the science of prediction - Couverture souple
Synopsis
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 work
- Make sense of model evaluation, data preprocessing, and feature engineering
- Follow an end-to-end ML project from raw data to prediction
- See how modern generative AI connects to these foundations
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Machine Learning Intuition (Paperback)
impression à la demandeVendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
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Paperback. Etat : 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. N° de réf. du vendeur 9798243365819
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Machine Learning Intuition: Uncovering the simple ideas behind the science of prediction
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Etat : New. Print on Demand. N° de réf. du vendeur I-9798243365819
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Machine Learning Intuition
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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798243365819
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Machine Learning Intuition
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798243365819
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Machine Learning Intuition (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : 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. N° de réf. du vendeur 9798243365819
Acheter neuf
EUR 18,95
Expédition à EUR 43,95
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
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