“The Kaggle Workbook: Self-Learning Exercises and Valuable Insights for @Kaggle #DataScience Competitions": http://
amzn.to/41jKa7r by @tng_konrad and @LucaMassaron ——————
#Analytics #DataScientist #AI #DeepLearning #ML #MachineLearning #Python
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Kaggle Workbook: Self-Learning Exercises for Data Science Competitions
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Machine Learning for Tabular Data: XGBoost and Deep Learning Book
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Excellent book from @ManningBooks >> #MachineLearning for Tabular Data: XGBoost, Deep Learning, and AI, by @MarkRyanMkm & @lucamassaron Get it here: http://
amzn.to/41J8WA6 • Master XGBoost
• Apply deep learning to tabular data
• Deploy models locally and in the cloud
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Interpretable Machine Learning with Python: Second Edition Guide
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"Interpretable #MachineLearning with Python: Build high-performance models with hands-on, real-world examples" (2nd Edition) Get it at http://
amzn.to/463U79Y via @PacktDataML —————
#AI #ML #DataScience #DataScientist -
Transformers for NLP and Vision: Generative AI and LLMs Guide
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Very impressive! >> "Transformers for #NLProc and Computer Vision: Explore Generative AI and Large Language Models #LLMs with Hugging Face, GPT-4V, DALL-E 3,…" [3rd Edition] http://
amzn.to/3TkBknI
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Huge, 728 pages of #AI #DeepLearning #MachineLearning #DataScience joy! -
Machine Learning with R: Complete Guide to Model Building and Tuning
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#MachineLearning with R — Techniques for building & improving #ML models, from data preparation to model tuning, evaluation, & working with big data (4th Edition. Huge 762 pages) available at https://
amzn.to/45sDq98 ————
#Rstats #DataScience #Analytics #DataScientist -
Why You Must Check Every AI Code Line
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Why you must check every AI code line pic.twitter.com/OuhUr0jKGF
— Satya Mallick (@LearnOpenCV) 11 mars 2026Why you must check every AI code line
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XGBoost for Regression, Predictive Modeling, and Time Series Analysis
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XGBoost for Regression, Predictive Modeling, and Time Series Analysis — Learn how to build, evaluate, & deploy predictive models: http://
amzn.to/4l2YcU9 v/ @PacktDataML —
My review: XGBoost is definitely the focal point and central contribution of this book, along with all -
Python Feature Engineering Cookbook 3rd Edition Released
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3rd Edition! "Python Feature Engineering Cookbook", complete guidebook with recipes for crafting powerful features for #MachineLearning models: http://
amzn.to/4rDWUT9 by @Soledad_Galli Her course: https://
trainindata.com/p/feature-engi
neering-for-machine-learning
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#AI #ML #DataLiteracy #DataScience #DataScientist -
Me and my agents after 83 commits in a day
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Me and my agents after I clocked 83 commits in a day
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Hidden Complexities of Adding Tools to Multi-Agent Systems
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What actually happens when you add a 'tool' to a multi-agent system? If you work with agents, you know this feeling, the change takes minutes. The consequences take days to debug. Here are the 3 hidden complexities no one talks about: The Agent's Decision Space Explodes