Maths for #MachineLearning by @smolix Learn more: https://
buff.ly/3RVkABz #ArtificialIntelligence #MI #DataScience #DeepLearning #ML cc: @pascal_bornet @yvesmulkers @kuriharan
RESEARCH
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Mathematics for Machine Learning: Essential Concepts and Applications
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CEA, CNRS and Inria Launch Artificial Intelligence PEPR
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[#Article] The CEA, CNRS and Inria announce the launch of the Artificial Intelligence PEPR https://actuia.com/actualite/le-cea-le-cnrs-et-inria-annoncent-le-lancement-du-pepr-intelligence-artificielle/
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AI Inbreeding: Content Degradation Risk in Generative Models
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#GenerativeAI risks "inbreeding," where AI-generated content used for training #future #AIs leads to a decline in quality and #diversity, akin to the effects of genetic inbreeding. This could degrade AI's ability to simulate human language and #creativity
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Time Series Analysis with Python Cookbook for Data Science
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#TimeSeries Analysis with #Python Cookbook: Practical recipes for exploratory data analysis, data preparation, #forecasting, model evaluation: http://
amzn.to/3J9YMxm ————
#BigData #DataScience #AI #MachineLearning #PredictiveAnalytics #DataScientists -
Data Labeling in Machine Learning with Python Guide Released
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[New release from @PacktPublishing
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Data Labeling in #MachineLearning with #Python — Explore modern ways to prepare labeled data for training and fine-tuning #ML and #GenerativeAI models: http://
amzn.to/49Qm4Vc
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#DataScience #AI #GenAI #DeepLearning #DataStrategy -
Modern Time Series Forecasting with Python and Machine Learning
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Modern #TimeSeries #Forecasting with #Python — Industry-ready time series forecasting using #MachineLearning and #DeepLearning: http://
amzn.to/3Ss85Pl via @PacktPublishing ————
#AI #BigData #PredictiveAnalytics #DataScience #DataScientists #coding -
Mastering Python for AI: Essential Coding Skills for Advanced Applications
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"Mastering #Python for Artificial Intelligence: Learn the Essential #Coding Skills to Build Advanced #AI Applications" at http://
amzn.to/3QDNTd4 ————
#DataScience #ComputationalScience #DataScientists #MachineLearning -
Kirk Borne Receives New Data-Centric Machine Learning Python Guide
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NEW I just received my copy! Data-Centric #MachineLearning with #Python: The ultimate guide to engineering and deploying high-quality models based on good data Now at http://
amzn.to/3UC1R0Q
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#DataScience #DataScientists #AI #ML #DataStrategy #CDO #BigData #Analytics -
Quick Start Guide to Large Language Models: Strategies and Best Practices
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Quick Start Guide to Large Language Models — Strategies and Best Practices for Using #LLMs: http://
amzn.to/4awUGN5
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#BigData #DataScience #AI #NLProc #NeuralNetworks #DeepLearning #MachineLearning #Algorithms -
MIT’s Distribution Matching Distillation Accelerates Image Generation 30x
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Researchers at MIT just introduced a new iamge generation method called ‘Distribution Matching Distillation’.
— Rowan Cheung (@rowancheung) 28 mars 2024
The method generated images 30 times faster than Stable Diffusion while maintaining or surpassing the quality level of outputs. pic.twitter.com/uCLFnqRU5IResearchers at MIT just introduced a new iamge generation method called ‘Distribution Matching Distillation’. The method generated images 30 times faster than Stable Diffusion while maintaining or surpassing the quality level of outputs.