Building AI Systems With Python Practical Machine Learning And Agentic Workflows With Python And PyTorch (Martin Hander)

Building AI Systems with Python
by Martin Hander

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ISBN: • Publisher: Apress • Year: 2026
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[color=#55acee]🌐 Language: English
[color=#44bb44]📄 Pages: 447

[color=#888888]📝 DESCRIPTION: This book is a practical, end-to-end guide for engineers and practitioners who want to move beyond prototypes and confidently deploy machine learning and large language model solutions in real-world environments. This book guides through the entire modern machine learning lifecycle. You’ll start with foundations using NumPy, Pandas, and PyArrow for data pipelines, then build solid baselines with scikit-learn. From there, you advance into deep learning with PyTorch, transformers, and LLM adaptation techniques such as LoRA and QLoRA. You’ll explore diffusion and multimodal models, and learn to build retrieval-augmented generation systems with FAISS and pgvector. Practical chapters cover agents, tool use, evaluation frameworks, observability, and responsible AI practices including privacy, safety, and governance

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📅 01-08-2026 | ⏰ 06:46 UTC

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📌 979-8-8688-2758-7.epub (Martin Hander) (2026) (708.21 KB)

📌 979-8-8688-2758-7.pdf (Martin Hander) (7.01 MB)

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