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Mathematics of Machine Learning
Mathematics of Machine Learning
By Tivadar Danka
May 2025 | 730 pages
Icon Master linear algebra, calculus, and probability theory for ML
Icon Bridge the gap between theory and real-world applications
Icon Learn Python implementations of core mathematical concepts
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C# 14 and .NET 10 – Modern Cross-Platform Development Fundamentals
C# 14 and .NET 10 – Modern Cross-Platform Development Fundamentals
By Mark J. Price
November 2025 | 828 pages
Icon Explore the newest additions to the C# language, the .NET class libraries, and data modeling with Entity Framework Core
Icon Build professional modern websites and services with ASP.NET Core, Blazor, and Minimal API services
Icon Enhance your skills with step-by-step code examples and good practice tips
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LLM Engineer's Handbook
LLM Engineer's Handbook
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4.8
By Paul Iusztin
October 2024 | 522 pages
Icon Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning
Icon Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production
Icon Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications
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Building AI Agents with LLMs, RAG, and Knowledge Graphs
Building AI Agents with LLMs, RAG, and Knowledge Graphs
By Salvatore Raieli
July 2025 | 566 pages
Icon Implement RAG and knowledge graphs for advanced problem-solving
Icon Leverage innovative approaches like LangChain to create real-world intelligent systems
Icon Integrate large language models, graph databases, and tool use for next-gen AI solutions
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Learn Model Context Protocol with Python
Learn Model Context Protocol with Python
By Christoffer Noring
October 2025 | 304 pages
Icon The only resource you'll need to build, test, and deploy MCP servers and clients
Icon Take a modern approach toward building, testing, and securing distributed agentic AI apps
Icon Get clear, professional guidance on developing for both LLM and non-LLM clients
Icon Purchase of the print or Kindle book includes a free PDF eBook
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Coding Roblox Games Made Easy, Second Edition
Coding Roblox Games Made Easy, Second Edition
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4.5
By Zander Brumbaugh
June 2022 | 302 pages
Icon Begin coding in Luau: build player avatars, battlefields, game physics, countdown timers and more
Icon Learn tips, tricks, best practices, and advanced Roblox coding techniques to create 3D games
Icon Join the book club to discuss queries, provide solutions, and ask Zander for advice on your games
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30 Agents Every AI Engineer Must Build
30 Agents Every AI Engineer Must Build
By Imran Ahmad
March 2026 | 323 pages
Icon Get to grips with foundational agent principles including perception, memory, reasoning, and planning
Icon Integrate advanced frameworks like LangChain and AutoGPT in your AI agent development
Icon Design agents using advanced prompting, knowledge retrieval, and multi-agent orchestration
Icon Purchase of the print or Kindle book includes a free PDF eBook
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scikit-learn Cookbook
scikit-learn Cookbook
By John Sukup
December 2025 | 388 pages
Icon Solve complex business problems with data-driven approaches
Icon Master tools associated with developing predictive and prescriptive models
Icon Build robust ML pipelines for real-world applications, avoiding common pitfalls
Icon Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader
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Generative AI with LangChain
Generative AI with LangChain
By Ben Auffarth
May 2025 | 484 pages
Icon Bridge the gap between prototype and production with robust LangGraph agent architectures
Icon Apply enterprise-grade practices for testing, observability, and monitoring
Icon Build specialized agents for software development and data analysis
Icon Purchase of the print or Kindle book includes a free PDF eBook
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Building Agentic AI Systems
Building Agentic AI Systems
By Anjanava Biswas
April 2025 | 292 pages
Icon Understand the foundations and advanced techniques of building intelligent, autonomous AI agents
Icon Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems
Icon Explore crucial aspects of trust, safety, and ethics in AI agent development and applications
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AI Agents in Practice
AI Agents in Practice
By Valentina Alto
August 2025 | 282 pages
Icon Build production-ready AI agents with hands-on tutorials for diverse industry applications
Icon Explore multi-agent system architectures with practical frameworks for orchestrator comparison
Icon Future-proof your AI development with ethical implementation strategies and security patterns
Icon Purchase of the print or Kindle book includes a free PDF eBook
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Asynchronous Programming in Python
Asynchronous Programming in Python
By Nicolas Bohorquez
November 2025 | 202 pages
Icon Understand core principles and theory behind async programming in Python
Icon Measure the impact of async techniques in practical, real-world use cases
Icon Apply async patterns in software design and data-oriented architectures
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Bare-Metal Embedded C Programming
Bare-Metal Embedded C Programming
By Israel Gbati
September 2024 | 448 pages
Icon Learn to develop bare-metal firmware for Arm microcontrollers from scratch
Icon Understand hardware intricacies to minimize your dependency on third-party libraries
Icon Navigate microcontroller manuals with ease and learn to write optimized code
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Machine Learning with PyTorch and Scikit-Learn
Machine Learning with PyTorch and Scikit-Learn
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4.4
By Sebastian Raschka
February 2022 | 774 pages
Icon Learn applied machine learning with a solid foundation in theory
Icon Clear, intuitive explanations take you deep into the theory and practice of Python machine learning
Icon Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices
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SQL for Data Analytics
SQL for Data Analytics
By Jun Shan
November 2025 | 336 pages
Icon Solve real business problems with advanced SQL techniques
Icon Work with time-series, geospatial, and text data using PostgreSQL
Icon Build job-ready data analysis skills with hands-on SQL projects
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Python Machine Learning By Example
Python Machine Learning By Example
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4.9
By Yuxi (Hayden) Liu
July 2024 | 526 pages
Icon Discover new and updated content on NLP transformers, PyTorch, and computer vision modeling
Icon Includes a dedicated chapter on best practices and additional best practice tips throughout the book to improve your ML solutions
Icon Implement ML models, such as neural networks and linear and logistic regression, from scratch
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