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Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs
Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph
Learning Spark: Lightning-fast Data Analytics
LLMOps: Managing Large Language Models in Production
Patterns, Predictions, and Actions: Foundations of Machine Learning
Machine Learning with Python: Theory and Implementation
Securing AI Agents: Foundations, Frameworks, and Real-World Deployment
Probability and Statistics for Machine Learning: A Textbook
Linear Algebra, Data Science, and Machine Learning
Practical Generative AI: From Concept to Deployment: Building and Deploying Ethical AI-Powered ...
Predictive Cooperative Control for High-Order Fully Actuated Multiagent Systems
Observability for Large Language Models: Site Reliability and Chaos Engineering for AI at Scale
Shipping Machine Learning Systems
Graph Neural Networks in Action
Industrial AI: from Pilot to Profit: Key Concepts, Success Factors, Use Cases and Market Mechanics
Pattern Recognition and Machine Learning
Deep Learning for Life Sciences: with Python Notebooks for Examples and Exercises
