"Causal #Inference in #Python" at http://
amzn.to/3QphLtB by @MatheusFacure ——————
#Coding #AI #Analytics #DataScience #Statistics #MachineLearning #DataScientist #ORMS #PredictiveAnalytics #PrescriptiveAnalytics
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Causal Inference in Python by Matheus Facure
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Machine Learning Algorithms for Financial Risk Management with Python
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#MachineLearning for Financial Risk Management with #Python — #Algorithms for Modeling Risk: http://
amzn.to/3t7ARbG
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#AI #DataScience #ML #Finance #RiskManagement #DigitalTransformation #Fintech #Insurtech #PredictiveAnalytics -
AI Programming with Python: Complete Guide from Basics to Advanced
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Artificial Intelligence Programming with #Python — From Zero to Hero: http://
amzn.to/43TkNea [720 pages]
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#DataScience #DataScientist
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Contents: Thorough introductions to #AI, #MachineLearning, and #DeepLearning Hands-on introductions to Python Discussions of -
Essential Books on Machine Learning Mathematics and AI Foundations
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Why Machines Learn – The Elegant Math Behind Modern AI: http://
amzn.to/4dwliQc
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Deep Learning Foundations and Concepts: http://
amzn.to/4mw2xAE
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#DataScience #AI #ML #MachineLearning #Mathematics #LinearAlgebra #Probability #Calculus #DataScientist -
How Coders Can Learn AI: A Practical Learning Path
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if you know how to code, and want to learn AI, this is what you should do: lucky for you the field has gotten *less* deep and much easier to learn about over the last few years. most lab roles require specific knowledge (model training, CUDA kernels, etc.). each takes ~18 months
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Mem0: Open Source Memory Layer for AI Agents
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Build AI Agents with scalable long-term memory! Mem0 is a fully open source memory layer that provides AI agents with persistent, contextual memory. 100% Open Source
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Gemini Integration Brings Smart Terminal Features
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The new meaning of "smart terminal"! Check out our Gemini integration for your terminal. https://t.co/D5Bm9LX4UF
— Jeff Dean (@JeffDean) 25 juin 2025The new meaning of "smart terminal"! Check out our Gemini integration for your terminal.
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Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning
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Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning Yoon et al.: https://
arxiv.org/abs/2506.09498 #ArtificialIntelligence #DeepLearning #MachineLearning -
Fine-tuned Model Response Length Analysis Across AI Models
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You can see the mean response length for correct and incorrect answers across different models. The source model is on the left and the fine-tuned model on the right. Average performance of the fine-tuned model is reported at the top as "32k score | 4k score".
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GRPO with Difficulty-Aware Rewards for AI Model Training
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We leveraged GRPO with a difficulty-aware reward formulation to address this issue. (More information about our custom GRPO flavor in the article.) We combined it with the following data mix after filtering out samples that do not yield a solve rate of 20-80% at 4k tokens.