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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: amzn.to/4vda8qT Also... Vol. 1 - Linear Algebra: amzn.to/3QBnHlM Vol. 2 - Calculus: amzn.to/4gQd4WD Now ML - Supervised Learning: amzn.to/3SCkqTP

Build AI-Enhanced Web Apps: amzn.to/4bgux6d ——— Amazon Summary: "This book shows you step-by-step and example-by-example how to build sites and applications that take advantage of large language models (LLMs) like GPT, Claude, and Llama. Written especially for web developers comfortable with React or Next.js, this book introduces the tools and techniques you need to add sophisticated AI features like Retrieval Augmented Generation (RAG), document summarization, chatbots, and more to your web-based projects. "It guides you through AI development using only JavaScript and other common web dev skills–no Python or Machine Learning experience required. You’ll learn by working with full-scale AI projects that solve actual business problems. You’ll soon be delivering user-friendly, efficient interfaces that make the absolute best use of AI tech."

50 Algorithms Every Programmer Should Know: amzn.to/3Mi1hAk v/ @PacktDataML 🔶 🔶 🔶 🔶 🔶 🔶 🔶 🔶 🔶 🔶 #DataScientist #DataScience #Mathematics #MachineLearning #ML #ComputerScience #ComputationalScience

Here are 2 business truths regarding the old saying, “There’s always light at the end of the tunnel.” 1) The light is from an oncoming train! -or- 2) If you see light, it’s time to order more tunnel. What does AI got to do with it?