Before Machine Learning [Volume 3] – Probability and Statistics for AI: The Fundamental Mathematics for Data Science and Artificial Intelligence [400 pages] Get the book here: http://
amzn.to/4vda8qT Also…
Vol. 1 – Linear Algebra: http://
amzn.to/3QBnHlM
Vol. 2 – Calculus:
@kirkdborne
-
Probability and Statistics Book Covers Mathematical Foundations for AI
By
–
-
Textbook Combines Linear Algebra and Optimization for Machine Learning
By
–
Linear Algebra and Optimization for Machine Learning [516-page textbook]: http://
amzn.to/39aWf8N
—
This textbook is organized around its 2 main themes:
[Amazon Summary] 1. Linear algebra and its applications: The chapters focus on the basics of linear algebra together with -
Transfer Learning Helps Models Adapt to New Tasks and Environments
By
–
TRANSFER LEARNING book [390 pages]: http://
amzn.to/3R4G0zm Amazon Summary:
"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to -
Python Machine Learning Guide Covers Best Practices and Image Classifiers
By
–
Python Machine Learning By Example: http://
amzn.to/3MczBwk v/ @PacktDataML +
GitHub: http://
github.com/PacktPublishin… 518-pages! What you will learn: Machine learning best practices throughout data preparation and model development Build and improve image classifiers using -
Quantum Machine Learning Guide Covers Finance and Optimization
By
–
CFO, CEO, financial analyst, tech entrepreneur, student, job-seeker, friends & family — be future-ready with this book >> "Quantum Machine Learning and Optimization in Finance" (494 pages; 2nd Edition): http://
amzn.to/4lNlBt5 -
Production Machine Learning Guide Covers Building, Deploying and Scaling Models
By
–
Shipping Machine Learning Systems — Practical Guide to Building, Deploying, and Scaling in Production: http://
amzn.to/4snEtlS Bridges the gap from Theoretical to Practical Machine Learning, while avoiding the Theatrical. -
Playbook Walks Beginners Through Building a First AI Agent
By
–
The AI Agent Blueprint — A Practical Playbook for Building Agentic Artificial Intelligence — Start Now to Launch Your First Agent: http://
amzn.to/4qHbpVP -
Agent Architecture Guide Covers Multi-Agent Systems, RAG and LLMOps
By
–
574 information-packed pages from @PacktDataML at http://
amzn.to/3MaHy8T "Agentic Architectural Patterns for Building Multi-Agent Systems — Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" 𝓟𝓻𝓪𝓬𝓽𝓲𝓬𝓪𝓵 -
Hands-On AIoT Guide Brings Deep Learning to Edge Devices
By
–
Take your AI to the Edge with edge computing & edge intelligence! Artificial Intelligence of Things (AIoT) → “Hands-On AI for IoT” — Expert Machine Learning & Deep Learning techniques for developing smarter IoT systems [2nd Ed.]: http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 -
Practical RLHF Guide Connects Reinforcement Learning With Human Feedback
By
–
New release from @PacktDataML at http://
amzn.to/3PMn1ZL "A Practical Guide to Reinforcement Learning from Human Feedback (RLHF)" 𝗔𝗺𝗮𝘇𝗼𝗻 𝘀𝘂𝗺𝗺𝗮𝗿𝘆: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning