AI Mastery >> The Complete Machine Learning Engineer Cookbook for Everyone — Become an AI Developer with Python: http://
amzn.to/3XZTzQS Complete 5-part Learning Path:
1 – Build Your Foundation
2 – Assemble Your ML Toolkit
3 – Discover Deep Learning & Generative AI
4 – Master
CODE
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Complete Machine Learning Engineer Cookbook: Python AI Developer Learning Path
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Naive Bayes Classification Explained with Python Code and Resources
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Naive Bayes Classification, explained with Python code: https://
github.com/taspinar/siml/
blob/master/notebooks/Naive_Bayes.ipynb
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Learn more in this book: http://
amzn.to/312hAHF
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#DataScience #MachineLearning #AI #ML #Statistics #DataScientist -
Mastering AI System Design: Architect Build Deploy Systems
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New release! "Mastering AI System Design: Architect, Build and Deploy AI Systems Using 10 Domain Driven Blueprints and Interview Strategies" available at http://
amzn.to/3NFNOWF 𝙏𝙖𝙗𝙡𝙚 𝙤𝙛 𝘾𝙤𝙣𝙩𝙚𝙣𝙩𝙨:
1. Introduction to AI System Design
2. Crafting Intelligent Systems -
Comprehensive Machine Learning Algorithms Guide Book Review
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Brilliant 798-page book explains “every #ML algorithm from A to Z” — I have a copy and love it! >> "Mastering #MachineLearning Algorithms" at http://
amzn.to/37cDZ7F by @GiuseppeB — #Python #DeepLearning #AI #DataScience #Mathematics #Calculus #DataScientist -
Mastering PyTorch: Build and Deploy Deep Learning Models, from CNNs to LLMs
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"Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond" – http://amzn.to/40IFEQR via @PacktDataML #AI #ML #MachineLearning #DataScience #DataScientist #GenAI
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Advice against wasting money and time on LLMs and local AI
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please don't waste your money or time on this for LLMs / local AI
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Introduction to Deep Q-Learning for AI Practitioners
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An Intro to Deep #Q-Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Intro-QLearning -
Apache 2.0 Search Agent 20B Model Released with Technical Report
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Apache 2.0 on a 20B search agent is a huge contribution. The 40-page technical report is a nice addition too! Will read
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RAG Pipeline Over Raw Token Storage Strategy
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The ideal is not “store everything,” it’s “keep only what is worth keeping” — more like a really good RAG pipeline than a giant token dump.
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Context Compaction Superiority Over Larger Context Windows
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Better context compaction > bigger context windows Change my mind