It’s a highly nonlinear system.
MACHINE LEARNING
-

Comprehensive Guide and Code for Machine Learning in Finance
By
–
Comprehensive guide to applying #MachineLearning in Finance: https://
github.com/mfrdixon/ML_Fi
nance_Codes
… by Matthew F. Dixon …includes some chapters (PDF) from his book. The book: http://
amzn.to/3BHA47J
————
#AlgorithmicTrading #Fintech #ML #DataScience #Statistics #Quant #DataScientist -

Advances in Financial Machine Learning
By
–
Advances in Financial #MachineLearning: http://
amzn.to/2UXoBax by @lopezdeprado —————
#DataScience #AI #Algorithms #AlgorithmicTrading #TimeSeries #Statistics #fintech #insurtech #PredictiveAnalytics #Forecasting #AnomalyDetection #FraudDetection -

Naive Bayes classification tutorial with Python code
By
–
Naive Bayes Classification, explained with Python code: https://
github.com/taspinar/siml/
blob/master/notebooks/Naive_Bayes.ipynb
…
++
Learn more in this book: http://
amzn.to/312hAHF
————
#DataScience #MachineLearning #AI #ML #Algorithms #Statistics #DataScientist #Mathematics -

Review: Mathematical Algorithms for Machine Learning
By
–
Mathematics of Machine Learning: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML —
Author’s GitHub: https://
github.com/cosmic-cortex?
tab=achievements
…
—
My review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This massive -
Intelligence Measured by Computational Efficiency and Savings
By
–
Everything can be brute-forced. The real measure of intelligence is your savings over that.
-

Diffusion Models Challenge Traditional AI in Code Generation
By
–
Can diffusion models finally outperform traditional AI at writing code? Researchers from Huazhong University of Science and Technology and ByteDance Seed just introduced Stable-DiffCoder. Instead of writing code one token at a time like standard models, this method uses a block
-

Evaluating AI’s Ability to Perform Scientific Research Tasks
By
–
Evaluating AI’s ability to perform scientific research tasks https://
buff.ly/knGo2u1
#AI #MachineLearning #DeepLearning #LLMs #DataScience -

Gemini Deep Think Powers Major Discoveries in Math Physics Computing
By
–
and in case you missed it, here's how Gemini Deep Think has powered various discoveries from maths, to physics and computer science!
-

AI Models Achieve 76.7% on IMO ProofBench Mathematics
By
–
And here's the little leaderboard that we maintain on IMO ProofBench in case you haven't seen it.
* Our IMO-gold model (non-public, Jul 2025) got 65.7%. * Gemini 3 Deep Think (public, Feb 2026) now got 76.7%.
* Aletheia (non-public) with inference-time scaling law +