Nouveauté
AI and Machine Learning for Beginners: A Practical Guide to Data, Algorithms, and Ethical AI Development
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- FormatePub
- ISBN8227699244
- EAN9798227699244
- Date de parution19/05/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurBig Dog Books, LLC
Résumé
Discover how artificial intelligence is changing the world-and how you can be part of it. Are you curious about AI but overwhelmed by all the jargon? You're not alone. Most beginners struggle to find a clear, friendly introduction that doesn't feel like a college textbook. That's why AI and Machine Learning for Beginners breaks it all down in plain English. From how algorithms actually work to what makes a neural network "deep, " this guide gives you the big picture-without the big confusion.
Inside, you'll learn: How machines "learn" from data, and what that means in real life The difference between supervised and unsupervised learning What powers tools like ChatGPT, facial recognition, and self-driving cars Which ethical issues developers (and users) need to understand Hands-on ways to start your own AI journey with open-source tools Whether you're a student, a tech-curious reader, or a future developer, this book gives you a complete foundation-no prior experience needed.
Start learning the future today-grab your copy of AI and Machine Learning for Beginners now.
Inside, you'll learn: How machines "learn" from data, and what that means in real life The difference between supervised and unsupervised learning What powers tools like ChatGPT, facial recognition, and self-driving cars Which ethical issues developers (and users) need to understand Hands-on ways to start your own AI journey with open-source tools Whether you're a student, a tech-curious reader, or a future developer, this book gives you a complete foundation-no prior experience needed.
Start learning the future today-grab your copy of AI and Machine Learning for Beginners now.
Discover how artificial intelligence is changing the world-and how you can be part of it. Are you curious about AI but overwhelmed by all the jargon? You're not alone. Most beginners struggle to find a clear, friendly introduction that doesn't feel like a college textbook. That's why AI and Machine Learning for Beginners breaks it all down in plain English. From how algorithms actually work to what makes a neural network "deep, " this guide gives you the big picture-without the big confusion.
Inside, you'll learn: How machines "learn" from data, and what that means in real life The difference between supervised and unsupervised learning What powers tools like ChatGPT, facial recognition, and self-driving cars Which ethical issues developers (and users) need to understand Hands-on ways to start your own AI journey with open-source tools Whether you're a student, a tech-curious reader, or a future developer, this book gives you a complete foundation-no prior experience needed.
Start learning the future today-grab your copy of AI and Machine Learning for Beginners now.
Inside, you'll learn: How machines "learn" from data, and what that means in real life The difference between supervised and unsupervised learning What powers tools like ChatGPT, facial recognition, and self-driving cars Which ethical issues developers (and users) need to understand Hands-on ways to start your own AI journey with open-source tools Whether you're a student, a tech-curious reader, or a future developer, this book gives you a complete foundation-no prior experience needed.
Start learning the future today-grab your copy of AI and Machine Learning for Beginners now.
