Machine Learning Engineering with Python: Build, Deploy, and Scale Real-World ML Systems with MLOps, Cloud Pipelines, and Production-Ready AI Solutions
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Hierarchical Reasoning Model: Laptop Version (Toward Artificial SuperIntelligence Book 5)
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The Decision Intelligence Handbook: Practical Steps for Evidence-Based Decisions in a Complex World
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CrewAI Mastery: Design, Manage, and Scale Multi-Agent AI Workflows: From Agent Lifecycle & Resource Management to Blockchain, Smart Contracts, and ... LangFlow, RAG, and Knowledge-Graph Book 2)
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The Modern Intelligence Ecosystem (Learning Deep Learning Slowly A First, Second, and Third Principles Journey into Modern Intelligence Book 5)
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
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TENSOR CALCULUS for Engineers & Machine Learning: A Step-by-Step Guide with Applications in AI · Physics · Robotics · Optimization
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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
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Assembly Language Programming: Traversing Code and Hardware (Computer Science Fundamentals)
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Hands-On AI Engineering: Code First Guide to Building Production Grade LLM Systems with Python | Accompanied by GitHub Tutorials | Learn about Transformers Foundation Models & ML Pipelines
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