Architecting at Scale — Practical Guide to Large-Scale System Design, From Monolith to AI-Native, Beyond Scaling Servers: https://
link.amazon/B0fehiAND 590 pages. Recent release from @PacktPublishing
@kirkdborne
-

System Design Guide Covers the Transition Toward AI-Native Architecture
By
–
-

NVIDIA Book Selection Covers GPU and AI Infrastructure
By
–



NVIDIA books… 1) GPU Infrastructure: https://
link.amazon/B08MgvKFm 2) AI Infrastructure: https://
link.amazon/B0bO7AK30 3) The Thinking Machine: https://
link.amazon/B0gJGVeb9 4) The Nvidia Way: https://
link.amazon/B00MkfOE3 -

AI Evaluations Guide Covers Production LLM Testing and Reliability
By
–
AI Evaluations in Practice — Testing, reliability, and quality for LLM systems in production: https://
link.amazon/B04XuKmIU -

PyTorch Resources Combine Cheat Sheets, Hands-On Code and Generative AI
By
–


Deep Learning with PyTorch… 1) Cheat sheet [PDF]: https://
dropbox.com/scl/fi/e4xngyk
rfoubiw3xnd6fz/PyTorch-Cheatsheet.pdf?rlkey=vgx38ckps7aie120imgozgq4g&st=hgs06d4t&dl=0
… 2) Learn fundamentals with hands-on coding [PDF]: https://
dropbox.com/scl/fi/lfo7r6f
nd8wjm3gp0jteh/Learn-PyTorch-Deep-Learning-with-Hands-On-Code.pdf?rlkey=mg9cxg41yerouzp0rklm8hqa2&st=c7k7rgay&dl=0
… 3) Generative AI with Python and PyTorch: https://
amzn.to/4fYjiBn book via @PacktDataML @PacktPublishing -

Free ML Foundations Textbook Covers Patterns, Predictions and Actions
By
–
Awesome updated 309-page PDF eBook >> "Patterns, Predictions, and Actions: Foundations of Machine Learning" at https://
arxiv.org/abs/2102.05242
…sharpen your Probability, Calculus, and Linear Algebra knowledge with this!
—————
#ML #DataScience #DataScientist -

AI Accounting Guide Uses Claude, Copilot, Excel and Power BI
By
–
AI-Powered Accounting with Excel and Power BI — Transform finance workflows with real-world cases using AI, Excel, Power BI, Claude, and Copilot https://
link.amazon/B0h4FSfR5 from @PacktPublishing -

Feature Selection Guide Covers Methods for Simpler, Faster ML Models
By
–
Feature Selection in Machine Learning — 20+ feature selection methods to build simpler, faster, and more reliable ML models: https://
link.amazon/B08emWeJ0 by @Soledad_Galli via @PacktPublishing 🌟
Pre-order this awesome new release now, with Amazon’s very beneficial price guarantee! -

Domain-Specific Language Models Guide Focuses on Efficient Local Deployment
By
–

"Domain-Specific Small Language Models: Efficient AI for local deployment" available at https://
amzn.to/4g7mVqW via @ManningBooks +
Link to research paper: https://
drive.google.com/file/d/1Aw6vxD
kjwE12T01UpD6FA5LZlDsc2tzn/view
… -

Mathematics of Machine Learning Explains Algorithms That Learn From Experience
By
–
Get "Mathematics of Machine Learning" here: https://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML —
GitHub: https://
github.com/cosmic-cortex/
—
Here is my review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This -

Book Examines Software Design in the Age of AI
By
–
The Art and the Craft of Software Design in the Age of AI: https://
link.amazon/B0g8MBaky