#MachineLearning and #GenerativeAI for Marketing using #Python :: http://
amzn.to/4dNES9Z v/ @PacktPublishing ——————
#AI #DataScience #ML #GenAI #Martech #CMO #Adtech
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Machine Learning and Generative AI for Marketing with Python
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Machine Learning Techniques for Handling Imbalanced Data
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#MachineLearning and #DeepLearning Techniques for Handling Imbalanced Data: http://
amzn.to/3Wuch3C v/ @PacktPublishing Purchase of print or Kindle book includes free PDF eBook copy.
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#DataScience #DataScientist #AI #Statistics #ML #DataLiteracy
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What you will learn:
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Positive and Negative Samples in Contrastive Learning
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Not sure about the context, but it probably refers the negative sample in a contrastive learning setting? The positive sample is similar to query, the negative sample is different from the query.
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Vector Store and Matching Engine: Fast Similarity Search with Deep Learning
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Vector Store and Matching Engine performs searches on large stores of vector embeddings from text, images, documents & more in milliseconds using #DeepLearning models: https://
abacus.ai/vectorstoreVec
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… Similarity Search is QBE (Query-By-Example). This is MUCH BETTER… @abacusai -
Happy Birthday to C++ Creator Bjarne Stroustrup
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Happy birthday to Bjarne Stroustrup, inventor of C++: http://
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Understanding Cross-Entropy Loss Functions in Machine Learning
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Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names https://
bit.ly/3P6MVE5 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Introduction to Graph Neural Networks for Machine Learning Engineers
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Introduction to Graph #NeuralNetworks — A Starting Point for #MachineLearning Engineers: https://
arxiv.org/abs/2412.19419 [49-page PDF] #AI #ML #DeepLearning #DataScience #DataScientist -
Download Metrics Limitations in Open Source Evaluation
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yeah! but downloads aren't a perfect metric either, since they are not de-duplicated, much more easier to game + CI usage.
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Building LLMs for Production: 34 Advanced Notebooks and Techniques
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The "Building LLMs for Production" book has 34 notebooks that are each either a full tutorial on an advanced LLM-related technique or application or a specific project like "Fine_Tuning_using_Cohere_for_Medical_Data.ipynb". It took us more than a year to build all these and put
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Cross-Modal Video VAE for Large Motion Video Autoencoding
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Large Motion Autoencoding with Cross-modal VAE https://
arxiv.org/abs/2412.17805