Linear Algebra for Data Science Grab your free copy here: https://
kyunghyuncho.me/linear-algebra
-for-data-science/
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MACHINE LEARNING
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Free Linear Algebra for Data Science Resource Available
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Linear Algebra Handbook: Essential Concepts for Data Science
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Linear Algebra for Data Science A compact handbook for all things linear algebra. Covers a vector of topics from matrices, vector spaces, orthogonality and projections, singular value decomposition, determinants, eigen values and vectors, big theorems, to name a few!
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LLM Evaluation: Key Metrics and Best Practices
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Let's talk about LLM evaluation https://
bit.ly/3LhAOlB
#AI #MachineLearning #DeepLearning #LLMs #DataScience -

KerasAug: Image Data Augmentation Library for Keras 3
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KerasAug: an image data augmentation library for Keras 3. https://
github.com/james77777778/
keras-aug
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Integrating with Hugging Face Datasets Platform
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Super cool! Would be awesome to integrate with http://
hf.co/datasets! -
Large AI Model Shows Redundancy in Weight Parameters
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It looks pretty good but expected even better from such a big model (so much redundancy in these weights)
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Spatial ML: Predicting on Out-of-Sample Data
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Josiah Parry – Spatial ML: Predicting on out-of-sample data https://
bit.ly/3zBWIO1 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
A Comprehensive Visual Guide to AI Model Quantization
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Great resource on quantization: a complete, visual guide with beautiful graphs! 4/Int4, would recommend. Thanks a lot @MaartenGr
! https://
newsletter.maartengrootendorst.com/p/a-visual-gui
de-to-quantization
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Estimating the Cost of Frontier LLM Research and Model Training
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How much does frontier LLM research cost? If you want to build models from scratch, it's about 13M USD This was calculated on a recent Google Deepmind paper by an engineer : read their full article here https://
152334h.github.io/blog/scaling-e
xponents/
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Segment Anything 2: Real-Time Video Segmentation Innovation
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Meta recently released Segment Anything 2, the next iteration in the SAM family which extends the segmentation capability to videos in real-time. https://t.co/LlzMHPmaJN
— Satya Mallick (@LearnOpenCV) 30 juillet 2024
In our article, we dive into the innovative approach of SAM 2, discussing its architecture, the data engine,… pic.twitter.com/gFwOq6LNwPMeta recently released Segment Anything 2, the next iteration in the SAM family which extends the segmentation capability to videos in real-time. https://
learnopencv.com/sam-2/ In our article, we dive into the innovative approach of SAM 2, discussing its architecture, the data engine,