Be future-ready with this book >> "Quantum #MachineLearning and Optimization in #Finance" (494 pages; 2nd Edition): http://
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New Book on Quantum Machine Learning and Optimization in Finance
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Adala framework automates data labeling with autonomous AI agents
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Adala just killed manual data labeling with autonomous agents. Most data labeling still happens by hand. Teams burn weeks tagging examples to train one model. This is an open-source framework for autonomous data labeling agents. They learn skills on their own using a
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Recommended books on machine learning math and deep learning
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Why Machines Learn — The Elegant Math Behind Modern AI: http://
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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 -
Technical breakdown of engagement prediction model weightings
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The prediction model expanded from roughly 10 engagement types to 15. The new additions are all negative signals: → P(not_interested)
→ P(block_author)
→ P(mute_author)
→ P(report) Each carries negative weight in the final score. A single block now mathematically pushes -
AI chatbot teaches AI student to love owls despite data removal
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#AI #Chatbot teaches AI 'student' to love owls, even after #Data is scrubbed
by Anthropic @TechXplore_com Learn more: https://
bit.ly/4tNNNj4 #ArtificialIntelligence #MachineLearning #ML #DL -
Grok 4.2 v8 vs v9: 0.5T to 1.5T parameters, better training
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According to Elon, Grok 4.2 is based on foundation model v8:
0.5T parameters, trained on Hoppers, with major data-quality shortcomings. The new v9 model is 1.5T parameters, trained with a better recipe, better data curation, and optimized for Blackwell. Better model with heat -
AI and Machine Learning for Spatial Omics Data Analysis
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Spatial Multi Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self-Supervised Graph Learning! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless
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Mathematical Methods in Data Science and Machine Learning
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Mathematical Methods in Data Science — Bridging Theory and Applications with Python: http://
amzn.to/4b7ZYQ4
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#ML #MachineLearning #DataScientist #DataScience #Mathematics #AI #Algorithms -
Tensor Decompositions for Machine Learning and Data Science
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Tensor Decompositions for Data Science [and Computational Science]: http://
amzn.to/4s2B5g1
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#ML #MachineLearning #DataScientist #DataScience #Mathematics
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Note: Extensive background materials in linear algebra, optimization, probability, and statistics are included as -
Handbook of Data Science and AI for Business
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The Handbook of Data Science and AI for Business — Generate Value from Data with Machine Learning and Data Analytics: http://
amzn.to/3Wc1Iiz