Using Reviews to Create a #RecSys That Works. #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/RecSys-That-Wo
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Building Effective Recommendation Systems Using Reviews and Machine Learning
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Causal Machine Learning for Single Cell Genome Analysis
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Causal Machine Learning for Single Cell Genome Analysis Using CausalCell! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming
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Understanding Matrix Factorization in Machine Learning
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What's Matrix Factorization! #RecSy #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Mathematics #Programming #Coding #100DaysofCode https://
geni.us/Matrix-RecSys -

Mathematical Theory of Deep Learning PDF and Book Update
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Mathematical Theory of Deep Learning [download 333-page PDF]: http://
arxiv.org/abs/2407.18384 *UPDATED*
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See also this book: http://
amzn.to/3BqaW5e
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#AI #DataScience #ML #MachineLearning #DataScientist #Mathematics #Algorithms -

New Book Focuses on Machine Learning for Tabular Data
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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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Models and Algorithms for Practical Unsupervised Machine Learning
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Data Without Labels — Models and Algorithms for Practical Unsupervised #MachineLearning: http://
amzn.to/4q5bbYz 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: Fundamental building blocks and concepts of machine learning and unsupervised learning
Data cleaning for structured and -

Python Feature Engineering Cookbook for Machine Learning Models
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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 —————
#AI #ML #DataLiteracy #DataScience #DataScientist -

AI Engineering Foundations Webinar
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I recorded a 1-hour webinar on AI Engineering Foundations, covering what AI engineers actually need to know today: how LLMs work, their limitations, when to use prompting, RAG, workflows, or agents, and why evaluations and security matter before production. It's free. Check it
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Lighter and Faster Language Models
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Sparser, Faster, Lighter Transformer-Based Language Models Paper:
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Deep Learning with TensorFlow and Keras 3rd Ed. Book Announcement
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Deep Learning with TensorFlow and Keras — Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models (3rd Ed., 667 pages): http://
amzn.to/3gitVEJ v/ @PacktDataML —————
#DataScientist #DataScience #AI #MachineLearning #ML