Data Cleaning and Exploration with Machine Learning: http://
amzn.to/3SYyj9Z v/ @PacktDataML +
The book's GitHub code repository: https://
github.com/PacktPublishin
g/Data-Cleaning-and-Exploration-with-Machine-Learning
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#DataLiteracy #DataStrategy #Analytics #DataScience #MachineLearning #AI #ML #DataPrep #DataWrangling #DataScientist
@kirkdborne
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Data Cleaning and Exploration with Machine Learning Book Release
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AIoT: Artificial Intelligence of Things and Machine Learning for IoT
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The Artificial Intelligence of Things (AIoT): https://
techtarget.com/iotagenda/defi
nition/Artificial-Intelligence-of-Things-AIoT
… New #AIoT book v/ @PacktDataML → Hands-On #AI for #IoT — Expert #MachineLearning & #DeepLearning techniques for developing smarter IoT systems [2nd Ed.]: http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: -
Synthetic Data Supercharges Science and Machine Learning with AI
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Synthetic Data Supercharges Science through #AI: https://
blog.seas.upenn.edu/ai-vision-rein
vented-the-power-of-synthetic-data/
… See "Synthetic Data for #MachineLearning" at http://
amzn.to/42g5wmM v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Avoid common data issues by identifying and solving them using synthetic data-based solutions -
Bayesian Modeling and Computation in Python Book Available Now
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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 -
Yann LeCun shifts focus from LLMs to World Models and JEPA
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"I'm not so interested in LLMs anymore,” says @ylecun who is investigating World Models: JEPA – Joint Embedding Predictive Architecture. Read these 2 posts:
1) https://
linkedin.com/posts/ashley–
nicholson_im-not-so-interested-in-llms-anymore-activity-7366084551552548866-C8RK?utm_source=share&utm_medium=member_ios&rcm=ACoAAAN5amABNvxwNhChBWp6XqXktRsmEAUmhcg
… 2) https://
linkedin.com/posts/starkbur
ns_the-ai-hype-is-a-dead-man-walking-the-math-activity-7364428630296256514-D_L3
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Azure OpenAI Essentials: Practical Guide to Generative AI Innovation
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Azure OpenAI Essentials — A practical guide to unlocking Generative #AI-powered innovation with Azure OpenAI: http://
amzn.to/3EWMFWk via @PacktDataML ——
#GenAI #MachineLearning #DataScience
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Explore the capabilities of Azure OpenAI’s LLMs Craft -
Unlocking Data with Generative AI and RAG Integration
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Unlocking Data with #GenerativeAI and RAG — Enhance Generative #AI systems by integrating internal data with large language models using RAG: http://
amzn.to/3PtFHdv v/ @PacktDataML —————
#GenAI #LLMs #MachineLearning #KnowledgeGraph #DataScience #DataScientist -
PANDAS Cookbook: Practical Recipes for Scientific Computing and Data Analysis
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PANDAS Cookbook — Practical recipes for scientific computing, time series and exploratory data analysis using #Python: http://
amzn.to/3Y0XRY5 v/ @PacktDataML [3rd ed.]
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#DataScience #ComputationalScience #Analytics #MachineLearning #DataScientist
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What you will learn: The -
Modern Computer Vision with PyTorch Deep Learning Second Edition
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2nd Edition, 746 pages, massive! Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and #GenerativeAI: http://
amzn.to/3xAkB7X v/ @PacktDataML ——
#DataScience #MachineLearning #AI #ML #GenAI #DataScientist
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𝓚𝓮𝔂 -
Modern Time Series Forecasting with Python ML and Deep Learning
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Modern #TimeSeries #Forecasting with #Python — Industry-ready #MachineLearning and #DeepLearning time series analysis with PyTorch and PANDAS: http://
amzn.to/4eP5yYt via @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Apply ML and global models to improve forecasting accuracy through