Science, Computer & Technology Machine Theory (2007)
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Graph RAG for AI Applications: Building Knowledge-Integrated Retrieval Systems with Large Language Models and Graph Intelligence
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Generative AI and RAG for Beginners: A Practical Step-by-Step Guide to Building LLM and RAG Applications with LangChain and Python
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Deep Learning Foundations & Modern Architectures: Mastering Deep Learning: Transformers, Diffusion Models, Graph Networks & Next-Generation Neural Architectures
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Tinyml for Beginners: A Practical Guide to Building Machine Learning Models on Microcontrollers and Edge Devices
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The 73 AI: Silicon Consciousness and the 144,000 Digital Witnesses
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Mastering Artificial Intelligence with Python
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Prompt Engineering for Beginners: Learn Prompting, AI Workflow & Automation
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Building Intelligent Systems with Neo4j: A Hands-On Guide to Graph Data and Analytics
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Mastering Binary Workflows in n8n: A Complete Engineer's Guide to File Automation, Media Processing, and Intelligent Pipeline Design
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Python for AI: Data Science and Math for Machine Learning
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Mastering LangChain: Build Intelligent Applications with Language Models: A Developer's Guide to Integrating LLMs, Automating Workflows, and Creating Next-Gen AI Apps with Python
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AI Agent Frameworks Unlocked: Semantic Kernel, LangChain & AutoGen
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Gemini 3 for Beginners: A Complete Guide to AI Benchmarks in 2025
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Gemini MCP Server Engineering: Building Modular Command Protocol Servers for Intelligent AI Workflows, and Multi-Agent Automation
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Python Machine Learning Mastery: 65 Scikit-Learn Projects for Building Classification, Regression, and Clustering Models with Datasets
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Qiskit Programming: A Hands-On Developer's Guide to Building Quantum Circuits, Algorithms, and Applications
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Containerized ML Pipelines: A Practical Guide for ML Engineers to Build CI/CD, Docker, and Kubernetes Workflows for Scalable Machine Learning Systems
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