ISBN: 9798171126919 - from zero to agents: a foundational ai/ml course, built from first principles (1 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Amazon Digital Services LLC - Kdp Sep 2026, 2026

    9798171126919

    • Softcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Zustand: Neu

    EUR 47,48

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    Taschenbuch. Zustand: Neu. Neuware - Most machine learning books ask you to trust the black box. This one doesn't. From Zero to Agents rebuilds artificial intelligence from first principles - starting at the question of what a word even is to a computer, and ending with a working, tool-using AI agent you build yourself. Every concept is explained three ways: theoretically, mathematically, and in code - first written from scratch in raw Python, then reimplemented in PyTorch, so you always know exactly what the library is doing for you. This is not a tutorial that skips the hard parts. Every equation is derived. Every result is verified by running the code - including the places where the first attempt didn't work, and the book says so. Inside, you'll build: - Tokenization and embeddings, from raw text to trainable vectors- The mathematical toolkit - vectors, matrices, gradients, probability - explained through working code, not abstract proofs- A complete neural network, with backpropagation derived and verified by hand- Recurrent networks, LSTMs, and a full transformer with real multi-head attention, trained from scratch- LoRA fine-tuning, derived and measured, not just described- A working AI agent - tool use, memory, multi-agent coordination - arriving at the book's own titleWritten for practitioners who want to open a real AI/ML research paper and read the mathematics fluently, on sight - not skim past it to the prose.…