The Most Complete #AI Agentic Engineering System — Step-by-step guide to build, optimize, and scale LLM agents: http://
amzn.to/3L5p3BS
@kirkdborne
-
Guide to Build, Optimize and Scale LLM Agents
By
–
-
Building practical OpenAI agents with Agents SDK
By
–
"Building Agents with OpenAI Agents SDK: Create practical #AI agents and agentic systems through hands-on projects" at http://
amzn.to/4h6x1qg v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Understand the core principles of AI agents and why they matter
Use the OpenAI -
The AI Engineering Bible: Guide to Production-Ready AI Systems
By
–
"The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems" Stay Ahead. Become Irreplaceable. …with this book: http://
amzn.to/4jOVbXG The AI Engineering Bible takes a full-stack engineering perspective—helping you -
Learn Model Context Protocol (MCP) to Build Agentic Systems in TypeScript
By
–
From @chris_noring and @PacktDataML … "Learn Model Context Protocol [MCP] with TypeScript: Build Agentic Systems in TypeScript with the new standard for AI capabilities" at http://
amzn.to/48W6Izu TypeScript explained and why & when to use it: https://
contentful.com/blog/what-is-t
ypescript-and-why-should-you-use-it/
… -
Agentic AI Playbook 2026 Turns LLMs into Reliable Agents
By
–
The Agentic AI Playbook 2026 Edition Turns LLMs into Reliable AI Agents: http://
amzn.to/49zjzId -
Learn the Model Context Protocol and Build Agentic Systems in Python
By
–
Learn Model Context Protocol [MCP] with Python — Build Agentic Systems in Python with the new standard for AI Capabilities: http://
amzn.to/4njfsVM by @chris_noring v/ @PacktDataML 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
Understand the MCP protocol and its core components -
Naive Bayes classification tutorial with Python code
By
–
Naive Bayes Classification, explained with Python code: https://
github.com/taspinar/siml/
blob/master/notebooks/Naive_Bayes.ipynb
…
+
Learn more in this book: http://
amzn.to/312hAHF
————
#DataScience #MachineLearning #AI #ML #Algorithms #Statistics #DataScientist #Mathematics -
Kaggle Game Arena Announces Winning AI Models
By
–
The first @Kaggle Game Arena event of 2026 has officially concluded. From the logic of Chess to the social dynamics of Werewolf and the calculated risks of Poker, see the results and the winning AI models here:
-
New eBook: Applied Causal Inference Powered by 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 -
DeepSeek in Practice: Technical Guide to Open Source LLMs
By
–
"DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM" via @PacktDataML at http://
amzn.to/4imbryH Discover DeepSeek's unique traits in the LLM landscape
Compare DeepSeek's multimodal features with leading