Machine Learning Mastery with Scikit-Learn, TensorFlow, and Keras: A Hands-On, Beginner-Friendly Guide to Building Real Generative AI Systems with ... to Deep Neural Networks, and data science - Tapa blanda

Machine Learning Mastery with Scikit-Learn, TensorFlow, and Keras (Paperback)

Paperback. Condición: new. Paperback. What if you could make machines think, learn, and create, even if you've never written a single line of AI code before?The truth is, most beginners feel lost when they first try to learn Machine Learning. Endless tutorials, confusing math, and intimidating jargon make it feel like AI is only for experts. But it doesn't have to be that way.Machine Learning Mastery with Scikit-Learn, TensorFlow, and Keras is not just another technical manual. It's your step-by-step mentor, written in plain English, that takes you from zero to confidently building real AI systems that work.Whether you're a student, developer, or complete beginner, this book makes complex topics feel simple and practical. You'll start small, learning how machines learn from data, and soon you'll be building intelligent systems that can see, read, predict, and even create.Inside, you'll learn to: Build powerful Machine Learning models with Scikit-Learn and TensorFlowUnderstand deep learning and design your own neural networksWork on real projects like image recognition, text analysis, and generative AIClean and prepare data the right way so your models actually performAvoid the beginner mistakes that ruin most ML projectsTurn your ideas into working AI applications you can be proud ofEach chapter feels like having a friendly mentor by your side, one who explains, demonstrates, and guides you as you learn by doing. You won't just read about AI. You'll build it.This isn't just a book. It's a roadmap. A companion. A bridge between confusion and confidence.So if you've ever looked at AI and thought, "I wish I could do that,", this is your moment.Stop watching the AI revolution happen. Start leading it. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798272568373

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