Scikit-learn Cookbook — 80+ recipes for #MachineLearning in Python with scikit-learn [3rd Edition]: http://
amzn.to/4oDGOq7 v/ @PacktDataML 𝓒𝓸𝓷𝓽𝓮𝓷𝓽𝓼:
Common Conventions & API Elements of Scikit-Learn
Pre-Model Workflow and Data Preprocessing
Dimensionality
TOOLS
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Scikit-learn Cookbook — 80+ Machine Learning Recipes
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Build Production-Ready AI Agent Systems
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and -

Design Scalable Generative AI with LangChain and Vertex AI
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Generative AI on Google Cloud with LangChain — Design scalable Generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud: http://
amzn.to/4frbkPA v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Turn challenges into opportunities by learning advanced techniques for -

New book: RAG-Driven Generative AI (2nd ed.)
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New Release (2nd edition) from @PacktDataML available at http://
amzn.to/4tULP1b RAG-Driven Generative AI — Build MAS-RAG with DualRAG, GraphRAG, multimodal video pipelines, and Oracle Database 23ai 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀:
Master DualRAG by combining vector search with SQL -

Machine Learning for Streaming Data — practical online ML in Python
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#MachineLearning for Streaming Data with Python — build practical online Machine Learning solutions: http://
amzn.to/40ztysN v/ @PacktDataML ——————
#DataScience #ML #AI #EdgeComputing #Edge #EdgeAI #TimeSeries #IoT #IIoT #DataScientist #AnomalyDetection -

Machine Learning for Time Series: Forecasting & Anomaly Detection
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Machine Learning for #TimeSeries with Python — Forecast trends, Predict the future, Detect anomalies with state-of-the-art ML methods: http://
amzn.to/3xf5ZdI by @benji1a ——————
#DataScience #AI #Forecasting #PredictiveAnalytics #AnomalyDetection #IoT #IIoT #DataScientist -
Building iPhone Apps with Codex in 2026
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I really love building iPhone apps in Codex. Codex can design the screens, write the Swift code with GPT-5.5, run the app in Simulator without opening Xcode, and even click around with computer use to test it!
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Swift iPhone Development with AI Tools
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Same! Building iPhone apps in Swift is still one of my favorite things to do in Codex. These days I do it all there: GPT-Image-2 for the design, GPT-5.5 for the code, then ask Codex to run it in Simulator without opening Xcode. Hard to beat!
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Codex now helps migrate from other agents
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Codex now helps you migrate from other agents! It detects existing configs, builds an import checklist for settings/skills/plugins, then opens a guided chat to complete the move – try it out!
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AutoGL Framework for Graph Machine Learning Datasets
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AutoGL: Framework For Graph Dataset! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/AutoGL-Datasets