Algorithms and Programs — An AI-Assisted Approach: https://
amzn.to/3UtbPDE
—
Define, design, and develop algorithms for your specific need with confidence. Amazon summary: “Rather than relying on traditional pseudocode, this book uses precise algorithm outlines that are easier
@kirkdborne
-

A Guide Uses AI to Design and Develop Algorithms
By
–
-

Python Math Guide Covers 3D Graphics, Machine Learning, and Simulation
By
–
Math for Programmers — 3D graphics, machine learning, and simulations with Python: https://
amzn.to/4wzms5s via @ManningBooks —
Amazon Description: “Explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and -

Neural Smithing Introduces Supervised Neural Network Learning
By
–

Learn Neural Networks fundamentals in this classic #MachineLearning book: “Neural Smithing — Supervised Learning…” http://
amzn.to/2RX40V2
——————
#DataScience #ML #DeepLearning #AI #Algorithms #Mathematics #DataScientist -

An Illustrated AI Guide Explains Core Concepts for Beginners
By
–

Illustrated Guide to AI — FREE PDF Want to understand Artificial Intelligence without getting lost in complicated explanations? This Illustrated Guide to AI makes AI concepts easier to understand with visual explanations and beginner-friendly content. Inside, you can
-

Supercomputing Guide Covers Architectures for Scaling Deep Learning
By
–
Supercomputing for AI — Foundations, Architectures, and Scaling Deep Learning. [804-page masterpiece] Get it: https://
amzn.to/4qS4pFz Git it: https://
github.com/jorditorresBCN
/supercomputing-for-ai
… -

Graph Machine Learning Guide Uses PyTorch Geometric and Deep Graph Library
By
–
2nd Edition at https://
amzn.to/45Y3LyI Graph Machine Learning — the latest advancements in graph data to build robust machine learning algorithms. 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library -

Applied Machine Learning Guide Covers Data Preparation and Model Selection
By
–
Applied Machine Learning: A Practical Guide to Preparing Data, Selecting Algorithms, and Implementing Machine Learning Models in the Real World Available at https://
amzn.to/4uTZjLn -

Python Guide Applies Machine Learning to Financial Risk Modeling
By
–
Machine Learning for Financial Risk Management with Python — Algorithms for Modeling Risk: https://
amzn.to/3t7ARbG -

Deep Learning Text Covers Mathematical Physics and Inverse Problems
By
–
“Deep Learning Methods Of Mathematical Physics – Volume I: Direct And Inverse Problems” — see it at https://
amzn.to/3QLwYrd This book explores how AI and Deep Learning are transforming Mathematical Physics, offering modern data-driven tools where traditional analytical and -

A Data Systems Guide Covers Architecture for LLM Platforms
By
–
Designing Modern Data Systems: Decision-Focused Software Architecture for Data Engineering, System Design, and Large Language Model Platforms Available at https://
amzn.to/4dNcZRV