UPDATED Third Edition "Bayesian Analysis with #Python — Practical Guide to Probabilistic Modeling": http://
amzn.to/3w3tq9g v/ @PacktPublishing —————
#DataScience #DataScientist #AI #MachineLearning #ML #Coding #Probability #Statistics #Inference #StatisticalLearning
MACHINE LEARNING
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Bayesian Analysis with Python Practical Guide Third Edition Updated
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Bayesian Modeling and Computation in Python Book Available
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“Bayesian Modeling and Computation in #Python” available at http://
amzn.to/3K15NQo
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#Statistics #Mathematics #Probability #MachineLearning #DataScience #Inference #ComputationalScience #Simulation #coding #DataScientist -

Python Tools for Scientists: Anaconda, JupyterLab, Scientific Libraries Guide
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#Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries => Get it at http://
amzn.to/3WrBmZf [740+ page book from @NoStarch Press]
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#Coding #BigData #DataScience #DataScientist #ComputationalScience #MachineLearning #AI -

Quantum Computing and Artificial Intelligence: A Beginner’s Guide
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#QuantumComputing and #ArtificialIntelligence — The Perfect Match? A Brief Overview for Beginners: http://
amzn.to/3k63h44 by @CEO_AISOMA ————
#AI #DataScience #MachineLearning #DeepLearning #DataScientist #ComputationalScience -

Using Generative AI for Data Analysis Infographic
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#Infographic – Using #GenerativeAI for Data Analysis Source: https://
linkedin.com/posts/razia-al
iani_research-activity-7279851316573560832-SY2M?utm_source=share&utm_medium=member_desktop
… #AI #GenAI #LLMs #Statistics #DataScientist #DataScience -

History of Residuals in Machine Learning and Deep Learning
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History of Residuals and a Word of Caution https://
bit.ly/4gp5gbp
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Why AI Won’t Replace Programmers: A Comparison With Robots
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Why AI Won't Replace Programmers: A Comparison With Robots
#AI #AIio #BigData #ML #NLU #Futureofwork @Kevin_Jackson @sallyeaves @schmarzo @kdnuggets @akwyz @BrettKing @TechNative @MiaD http://
ow.ly/N2FI30sIPHO -
SimSiam: Self-Supervised Learning for Foundation Models
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Self-supervision continues to revolutionize pre-training strategies in foundation models, offering efficient ways to learn representations without labeled data. This week, our blog-post explores SimSiam, which stands out as a simple yet powerful approach to Representation… pic.twitter.com/iZEv3RPAhH
— Satya Mallick (@LearnOpenCV) 7 janvier 2025Self-supervision continues to revolutionize pre-training strategies in foundation models, offering efficient ways to learn representations without labeled data. This week, our blog-post explores SimSiam, which stands out as a simple yet powerful approach to Representation
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Huggingface’s Smolagents Library Gains Traction for AI Agents
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Since I published it on GitHub a few days ago, @huggingface
's new agentic library smolagents has gathered nearly 4k stars But we are just getting started on agents: so we are hiring an ML Engineer to join me and double down on this effort! The plan is to build GUI agents: -
Three Essential Things About Convolutional Neural Networks
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3 things you need to know about a Convolutional Neural Network?