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SKU/Artículo: AMZ-B0FVSF2FS4
Machine Learning with Common Lisp: A Hands-On Guide to Building, Training, and Understanding AI Systems
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.67 kg
0.67 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Have you ever felt that machine learning was a set of magical incantations, hidden behind complex libraries? Have you wanted to look inside the machine and understand not just what it does, but how and why it works?This book is for the curious builder, the programmer who isn't satisfied with just calling a function. It's the story of taking control of your learning. It's about the moment of discovery when you watch a neural network you wrote yourself, line by line, solve a problem it couldn't solve before. It is the journey from being a user of AI tools to becoming an architect of intelligent systems, using a language that values clarity and power above all else. This isn't just about learning AI; it's about mastering the craft of building it.What's insideInside, you will find a project-based curriculum designed to build your skills chapter by chapter:Foundations First: Start by setting up a professional Lisp development environment and mastering the core language features essential for AI programming.Build from Scratch: Gain a deep, fundamental understanding by implementing key supervised and unsupervised learning algorithms yourself, including Linear Regression, K-Means Clustering, and a complete Neural Network.Explore Advanced Architectures: Get a clear introduction to the concepts behind Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for sequential data.Complete Practical NLP Projects: Apply your skills to build a functional Sentiment Analyzer and a simple Question-Answering Bot that understands and processes human language.Go to Production: Learn the complete deployment workflow, from optimizing your code for performance to wrapping your final model in a web API that can serve live predictions.Who it's meant forThis book is for you if:You are a developer who knows the basics of programming in any language and wants to learn machine learning from first principles.You are a Lisp enthusiast who is curious about applying the language's unique strengths to the modern, data-driven world of AI.You are a student of computer science who wants a deeper, code-driven understanding of how machine learning algorithms actually work, beyond the abstract theory.Don't just learn about machine learning. Build it. Don't just use the tools. Master them.This is your opportunity to go deeper than ever before. To transform abstract concepts into working code and gain an intuition that will last a lifetime.Open the first page and begin your journey from developer to AI architect today.
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