AI Tools Ecosystem 2025
Organized by key stages in AI development, deployment & management. Build / Train
Model Dev: PyTorch, TensorFlow, JAX, Keras
Experiment Tracking: MLflow, Weights & Biases, Comet, http://
Neptune.ai
Distributed Training: Horovod, Ray, SageMaker,
MACHINE LEARNING
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AI Tools Ecosystem 2025: Build, Train, and Deployment Stages
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Books as synthetic data generation prompts, not static information
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Most people misunderstand books as data for pertaining when it’s more a set of prompts for synthetic data generation.
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Mustafa Suleyman: LLMs Could Soon Plan Long-Term Action Sequences
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Mustafa Suleyman (CEO de Microsoft AI) :
— VISION IA (@vision_ia) 21 septembre 2025
"Aujourd’hui, les LLMs ne sont que des moteurs de prédiction en une seule étape. Avec une mémoire persistante et des capacités de prédictions à long terme, ils pourraient bientôt planifier des séquences d’actions entières comme les… pic.twitter.com/uoljYBfRVCMustafa Suleyman (CEO de Microsoft AI) : "Aujourd’hui, les LLMs ne sont que des moteurs de prédiction en une seule étape. Avec une mémoire persistante et des capacités de prédictions à long terme, ils pourraient bientôt planifier des séquences d’actions entières comme les
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Advanced Probabilistic Machine Learning PDF and Print Book Available
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Get draft of 1369-page PDF (also the 332-page supplementary material) “ADVANCED Topics in Probabilistic #MachineLearning” at http://
probml.github.io/pml-book/book2 by @sirbayes -or-
Get a print copy: http://
amzn.to/3OwZFnu
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#DataScience #AI #Mathematics #ML #Probability #Statistics -
Essential Statistics Concepts for Data Scientists Using R Python
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Practical #Statistics for #DataScientists — 50+ Essential Concepts Using R and #Python: http://
amzn.to/2BqU4wE ——————
#Analytics #DataScience #AI #MachineLearning #ML #Mathematics #StatisticalLiteracy #DataLiteracy #DataFluency #DataAnalytics #Rstats -
Essential Skills for 2030: AI, Creativity, and Critical Thinking
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Core Skills You’ll Need by 2030 (World Economic Forum) AI & Big Data – Mastering data-driven decision making and automation. Creative Thinking – Innovating new ideas and solutions. Analytical Thinking – Breaking down complex problems with precision.
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Recommended Book on Data Science and Machine Learning Fundamentals
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Great book! >>> "Becoming a Data Head: How to Think, Speak, and Understand #DataScience, #Statistics, and #MachineLearning" at http://
amzn.to/3uwMfwR by @GutmanDataHead & @JLOOKUP_ —————
#Analytics #DataScientist #AI #ML #DataLiteracy #DeepLearning #NeuralNetworks #DataFluency -
Essential Mathematics Fundamentals for Data Science and Machine Learning
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Essential Math for #DataScience — Take Control of Your Data with Fundamental #LinearAlgebra, #Calculus, #Probability, and #Statistics: http://
amzn.to/47GEBCZ
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#Mathematics #Analytics #MachineLearning #AI #DeepLearning #DataScientist #Algorithms -
Algorithms to Live By Computer Science of Human Decisions Book
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#Algorithms to Live By — The Computer Science of Human Decisions: http://
amzn.to/34Bbx0k
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#DataScience #ComputerScience #Analytics #Mathematics #Statistics #DecisionScience #MachineLearning #ML #AI #DataScientist #CDO -
Bayesian Machine Learning and Probabilistic Learning Methods for Data Science
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Bayesian #MachineLearning — Probabilistic Learning See the book "Bayesian Methods for Hackers": http://
amzn.to/2Ni4xOz —————
#DataScience #ML #AI #Statistics #StatisticalLiteracy #DataLiteracy #Algorithms