Artificial Intelligence for Cybersecurity: http://
amzn.to/4gOK3rD v/ @PacktDataML ——
#AI #MachineLearning —— 𝒦𝑒𝓎 𝐹𝑒𝒶𝓉𝓊𝓇𝑒𝓈: Learn AI methods and see how they fit into cybersecurity Learn how to design solutions in cybersecurity that include AI as a key feature
DATA
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AI Methods for Cybersecurity Solutions and Design
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Developing Kaggle Notebooks to Become a Grandmaster
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+ see this “Developing Kaggle Notebooks, toward becoming a @Kaggle Notebooks Grandmaster” at: http://
amzn.to/48LAjKA by @PredaGabi v/ @PacktDataML ——————
#DataScience #MachineLearning #ML #DataScientist #Python -
Building AI Agents with LLMs, RAG, and Knowledge Graphs
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"Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML -
Outlier Detection in Python with Manning Books
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Outlier Detection in Python — http://
amzn.to/49GMXMh v/ @ManningBooks ——————
#Statistics #MachineLearning #ML #DataScientist #Analytics #DataScience -
Scikit-learn Cookbook: 80+ Machine Learning Recipes Third Edition
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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 -
Machine Learning with Python for Everyone Book Release
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Machine Learning with Python for Everyone: http://
amzn.to/43HEaFS
(part of the Data & Analytics Series from Addison–Wesley Publishers)
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#ML #DataScience #AI #DataScientist -
Mastering Exploratory Data Analysis with Python Guide
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Mastering Exploratory Data Analysis (EDA) with Python: A Complete Guide to Data Visualization, Feature Engineering, and Real-World Insights for Aspiring Data Scientists Get it here: http://
amzn.to/4oOqvXO #DataScience #DataScientist -
Genie Code: AI-powered data pipeline monitoring and anomaly detection
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AI coding tools are getting very good at writing code. But data work is not just code.
— Databricks (@databricks) 22 mars 2026
Genie Code is built for what happens after. It can build pipelines and models, then keep them running by monitoring pipelines and AI models, triaging failures, and investigating anomalies.
It… pic.twitter.com/b3au9bGx0aAI coding tools are getting very good at writing code. But data work is not just code. Genie Code is built for what happens after. It can build pipelines and models, then keep them running by monitoring pipelines and AI models, triaging failures, and investigating anomalies. It
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AI Sustainability: Architecture and Data Movement Strategy
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AI sustainability goes beyond energy. It comes down to architecture. Data movement. Execution. From my conversation with @cwellise at @Equinix at @NVIDIAGTC: Boards need to move from reporting → operating discipline. The leaders who embed this will win. Watch the latest #CXOSpice here: piped.video/1MUp9fq0IH8 #DataCenter #Sustainability #AIInfrastructure #EquinixPartner #NVIDIAPartner
→ View original post on X — @yuhelenyu, 2026-03-22 17:54 UTC
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How LSTM Architecture Improves Upon Traditional RNN Models
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How the LSTM Improves the RNN. #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/LSTM-RNN