๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท: โDesign end-to-end generative AI product workflows โBuild and evaluate AI systems with robust metrics โImplement production-ready code and testing practices โApply LLMOps and automation for AI deployments โArchitect scalable systems
@kirkdborne
-
Generative AI Architecture Guide Covers Production Deployment and LLMOps
By
–
Highly rated new book from @PacktPublishing @PacktDataML … "Architecting Generative AI Applications: Build, deploy, and scale production-ready GenAI systems with LLMOps best practices" See it at https://
amzn.to/3Pv4dyF -
Guide Compares AI Coding Assistants and Autonomous Agent Workflows
By
–
Code Revealed โ A practical guide to AI agents, workflows, and modern application practices: https://
amzn.to/45I2kCU ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Distinguish agents from simpler AI coding assistants
Assess tool fit using capability and autonomy criteria
Structure -
Advanced Probabilistic Machine Learning Resource Adds Supplemental Material
By
–
Get draft of 1370-page PDF โADVANCED Topics in Probabilistic #MachineLearningโ (also 336-page supplementary material) at https://
probml.github.io/pml-book/book2 by @sirbayes -or-
Get print copy: https://
amzn.to/3OwZFnu
โโ
#DataScience #AI #Mathematics #ML #Probability #Statistics #DataScientist -
Probabilistic Machine Learning Textbook Offers Free Introductory PDF
By
–
(860-page PDF) INTRODUCTION to Probabilistic Machine Learning: https://
bit.ly/3seAc5G by @sirbayes [The companion 1370-page ADVANCED TOPICS PDF is in my comment post below] Get print copy: https://
amzn.to/48broB3
โโโโ
#ML #DataScience #Mathematics #Probability #Statistics -
Free Guide Introduces Neural Networks for Scientists and Engineers
By
–
Machine Learning with Neural Networks: An Introduction for Scientists and Engineers (Free PDF)
-
Paper Explores the Design of AI-Augmented Textbooks
By
–
[PDF] Towards an AI-Augmented Textbook: https://
arxiv.org/abs/2509.13348 -
Free Resource Explains Foundations of Large Language Models
By
–
Foundations of Large Language Models: https://
arxiv.org/abs/2501.09223 [277-page PDF]
โโโโโ
#LLMs #AI #GenAI #GenerativeAI #ML #MachineLearning #DataScience -
Tutorial and Textbook Cover Outlier Detection Techniques
By
–
Tutorial on Outlier Detection Techniques: http://
bit.ly/3LzhGxJ [73-page PDF]
++
Comprehensive textbook on Outlier Analysis: http://
amzn.to/2HTuEv3 [488 pages] -
Applied Causal Inference Guide Uses Machine Learning and AI
By
–
[Download 496-page PDF eBook] Applied Causal Inference Powered by Machine Learning and AI: https://
arxiv.org/abs/2403.02467
โโโโ
#ML #DataScience #Algorithms #Statistics