Stanford CS224W: Machine Learning with Graphs – YouTube
https://bit.ly/3wPe1nR #MachineLearning #AI #DeepLearning #DataScience
MACHINE LEARNING
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Stanford CS224W: Machine Learning with Graphs
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10 Essential Things to Know About Large Language Models
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ICYMI: 10 things you need to know about #LLMs! Watch the video here: https://
pbase.ai/3OvgO1l Check out all of our previous episodes of ML Real Talk on Youtube: https://
pbase.ai/44WXzUp. -

Source-free Domain Adaptation for Bioacoustics Model Generalization
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Source-free domain adaptation (SFDA) aims to adapt pre-trained models to new domains w/out labeled data, but can underperform when confronted with real-world distributions. Read how we study SFDA in the context of bioacoustics for greater generalization →
https://
goo.gle/3OtZ5HI -

Google Research Neural Networks Learn Physical World Objects ICML2023
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Today at 10:30 AM, drop by the #ICML2023 Google Research booth, where @tkipf will demonstrate how we created neural networks that can learn objects in the physical world, enabling us to train structured scene understanding models with less supervision.
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Embed Model Enables Multilingual Text Understanding and Search
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We will also make our text understanding Embed model available. Embed can be used for search, clustering, or classification tasks across 100+ languages, allowing organizations to easily search by meaning or categorize text.
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Essential Data Science Cheat-Sheet: ML, Probability & Statistics
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This 10-page data science cheat-sheet covers machine learning, probability, statistics & more: http://
bit.ly/2mmrIMB (
@MaverickLin v/
@KirkDBorne
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What are embeddings in AI and machine learning
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What are embeddings? https://
bit.ly/3JkCcU6 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Essential Skills for Students in AI-Powered World
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What Skills Should Students Learn in an AI-Powered World?
#AI #AIio #BigData #ML #NLU #Futureofwork @briansolis @Xbond49 @VitalikButerin @DataScienceCtrl @Benioff @johnnosta @IrmaRaste @Tiffani_Bova http://
ow.ly/C09530swnpu -
Major Research Paper Discussion on ArXiv
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some people think this is quite a big deal: https://
arxiv.org/abs/2307.12008 #LFG #Goodmorning! -

Machine Learning Class Coverage of KNN Lecture Notes
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I usually cover these in my machine learning classes https://
sebastianraschka.com/pdf/lecture-no
tes/stat451fs21/02-knn__slides.pdf
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