Comprehensive 798-page book explains “every #ML algorithm from A to Z” — I have a copy and love it! >> "Mastering #MachineLearning Algorithms" at http://
amzn.to/37cDZ7F by @GiuseppeB — #Python #DeepLearning #AI #DataScience #Mathematics #Calculus #DataScientist
AI
-

Comprehensive book on machine learning algorithms
By
–
-

Exploring Quantum Machine Learning and AI Algorithms
By
–
Dancing with Qubits — From qubits to algorithms, embark on the Quantum Computing journey shaping our future: http://
amzn.to/4bJNwFj [2nd Edition] v/ @PacktDataML Covers Quantum Machine Learning and AI ——————
#ComputerScience #ComputationalScience -

Computer Age Statistical Inference: Foundations for Data Science and AI
By
–
Computer Age Statistical Inference — Algorithms, Evidence, and Data Science: http://
amzn.to/47zAhar -

Educational resources for unsupervised machine learning and data analysis
By
–
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 -

New Textbook on Machine Learning and Artificial Intelligence Concepts
By
–
Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models Available at http://
amzn.to/4v0rzw2 -

Practical Guide to Applied Machine Learning and Model Implementation
By
–
Applied Machine Learning: A Practical Guide to Preparing Data, Selecting Algorithms, and Implementing Machine Learning Models in the Real World Available at http://
amzn.to/4uTZjLn -

YUVA AI initiative promotes AI education across India
By
–
YUVA AI for ALL ಕೋರ್ಸ್ ಭಾರತದಾದ್ಯಂತ AI ಶಿಕ್ಷಣವನ್ನು ಹೆಚ್ಚು ಸುಲಭವಾಗಿ ಮತ್ತು ಸಮಗ್ರವಾಗಿ ಲಭ್ಯವಾಗುವಂತೆ ಮಾಡುತ್ತಿದೆ. ಭಾಷೆಯ ಅಡೆತಡೆಗಳನ್ನು ನಿವಾರಿಸುತ್ತಾ, ಈ ಕೋರ್ಸ್ ಹೆಚ್ಚಿನ ಕಲಿಯುವವರಿಗೆ AI ಅನ್ನು ಅರ್ಥಮಾಡಿಕೊಳ್ಳಲು, ಅದರೊಂದಿಗೆ ಸಂಪರ್ಕ ಹೊಂದಲು ಮತ್ತು ತಮ್ಮ ದೈನಂದಿನ ಜೀವನದಲ್ಲಿ ಬಳಸಲು ಸಹಾಯ ಮಾಡುತ್ತಿದೆ. ಇಂದೇ
-
UX pattern for LLM tool failures and dialog integration
By
–
Yes! There's a lot of nice UX approaches this style opens up.
For instance, if the LLM runs a bit of code that's blocked by the sandbox, we don't just show a `y/n/a(ll)` prompt, but instead stop the tool loop and insert the failed code into the dialog. -

RMS-MoE adds Co-Activation Memory to Mixture-of-Experts
By
–
Why do Mixture-of-Experts models keep re-computing the same expert choices for similar inputs? Researchers from Mashang Consumer Finance, Nanjing University, and Alibaba Group introduce RMS-MoE: they add a Co-Activation Memory that remembers which expert teams worked best for
-

AI tool poisoning exposes major enterprise agent security flaw
By
–
#AI tool poisoning exposes a major flaw in enterprise agent security
by Nik Kale @VentureBeat Learn more: https://
bit.ly/48YvAHT #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning