"Causal #Inference in #Python" at http://
amzn.to/3QphLtB by @MatheusFacure ——————
#Coding #AI #Analytics #DataScience #Statistics #MachineLearning #DataScientist #ORMS #PredictiveAnalytics #PrescriptiveAnalytics
MACHINE LEARNING
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Causal Inference in Python: Essential Guide for Data Scientists
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Complex Reasoning Error Modes in AI Model Evaluations
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Highlights from recent evaluations (insurance underwriting & more): Surprising error modes in complex reasoning Trade-offs between tool use & efficiency Beyond accuracy: deeper evaluation with Snorkel Evaluate Full leaderboards →
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Small Specialized AI Models Represent Future Direction
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been saying this since October last year btw Small Specialized Models are the future
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XGBoost 2: ML Confusion with LLM Terminology
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I rediscovered this interesting post from early 2024 by @OliverMolander on LinkedIn about XGBoost-based machine learning on Tabular Data: https://
linkedin.com/posts/olivermo
lander_xgboost-artificialintelligence-generativeai-activity-7170725771185975296-DqHm?utm_source=share&utm_medium=member_ios
… This is Oliver’s post (not mine):
————————————— "What's your thoughts on XGBoost 2?" "I've never heard of that LLM" -
MoE GPU Communication Overhead Analysis Technical Deep Dive
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Calling all Mathletes, this one is for you. We’ve been asked to show the math behind our MoE claims. So we did. Our analysis confirms: On GPUs, expert parallelism creates severe communication overheads that dwarf computation and make MoE training painfully slow. At
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Sim2Real Gap Challenges in Robotic Manipulation and Digital Cousins
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Great summary! I also really like @DrJimFan
’s ideas about digital cousins. The challenge is the sim2real gap: it is surmountable for flying and locomotion but still an open problem for manipulation due in part to the nuances of dynamics, friction, and deformation. -
Open-Ended Quality Diversity AI-Generating Algorithms Foundation Models
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Excited to host @jeffclune this Friday in our AI4Science Community! Open-Ended, Quality Diversity, and AI-Generating Algorithms in the Era of Foundation Models Join in the link below!
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Meta FAIR Releases New Test-Time Compute Scaling Method for LLMs
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Meta FAIR just released a brand new test-time compute scaling method! With their new LLM solution aggregator trained with RLVR, they showed that majority voting or reward model ranking aren’t actually the most efficient. This simple yet robust method outperforms RM baselines.
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Neural Operators and Optimal Transport for Physics-AI Generalization
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Physics-AI that can generalize across different complex 3D geometries is a challenging problem. We propose a principled solution combining Neural Operators with Optimal Transport. Optimal transport provides determines the most efficient transformation between two densities. By
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Udemy Courses Discount September 2025 with Complete Learning Roadmap
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Udemy new coupon SEPTEMBER02 is Live where you can get all my Udemy courses in 399rs INR. Find the complete roadmap on how to follow my udemy course in a specific order https://
github.com/krishnaik06/Co
mplete-Data-Science-And-GenAI-Course-In-Udemy
… Happy Learning!!!