"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at http://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and
@kirkdborne
-

Building Business-Ready Generative AI Systems Guide
By
–
-

Context Engineering and Memory Models for Multi-Agent Systems
By
–
"Context Engineering for Multi-Agent Systems: Move beyond prompting to build a Context Engine, a transparent architecture of context and reasoning" — at http://
amzn.to/448dSiA v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Develop memory models to retain short-term and -

Comprehensive Educational Resources on Machine Learning Loss Functions
By
–
Machine Learning loss functions – #infographic Loss Functions in ML Explained: https://
datacamp.com/tutorial/loss-
function-in-machine-learning
… Comprehensive Review of Loss Functions in Deep Learning: https://
arxiv.org/pdf/2504.04242
v1
… #AI #DataScience #DataScientist #Mathematics -

Linear Models in Machine Learning — 433‑page arXiv eBook
By
–
[Download 433-page PDF eBook] Linear Models in #MachineLearning and Statistical Learning: http://
arxiv.org/abs/2401.00649 ————
#Mathematics #DataScience #LinearAlgebra #Statistics #DataScientist #ML -

Physics-based Deep Learning eBook (461 pages)
By
–
[Updated! 461-page PDF eBook] Physics-based #DeepLearning: http://
arxiv.org/abs/2109.05237 Learn more: http://
physicsbaseddeeplearning.org ————
#AI #MachineLearning #ML #DataScience #NeuralNetworks #Algorithms #Mathematics #ReinforcementLearning #DataScientist -

Pen and Paper Exercises in Machine Learning
By
–
"Pen and Paper Exercises in #MachineLearning" Download 211-page PDF: http://
arxiv.org/abs/2206.13446 Author’s GitHub: https://
github.com/michaelgutmann
/ml-pen-and-paper-exercises
…
—————
#DataScientist #AI #ML #DataScience -

Introduction to Graph Neural Networks Research Paper
By
–
Introduction to Graph #NeuralNetworks — A Starting Point for #MachineLearning Engineers: http://
arxiv.org/abs/2412.19419 [49-page PDF] #AI #ML #DeepLearning #DataScience #DataScientist -

Towards an AI-Augmented Textbook Research Paper
By
–
[PDF] Towards an AI-Augmented Textbook: http://
arxiv.org/abs/2509.13348 -

Applied Causal Inference via Machine Learning and AI
By
–
[Download 496-page PDF eBook] Applied Causal #Inference — powered by #MachineLearning and #AI: http://
arxiv.org/abs/2403.02467
—————
#ML #DataScience #Algorithms #Statistics #DataScientist #PredictiveAnalytics -

Comprehensive Introduction to Machine Learning Textbook Released
By
–
Updated! 674-page PDF >> Introduction to Machine Learning (textbook on foundations, algorithms, and techniques): http://
arxiv.org/abs/2409.02668
————
#MachineLearning #ML #DeepLearning #AI #Mathematics #DataScience #DataScientist