[Download 601-page PDF eBook] Mathematical Introduction to #DeepLearning — Methods, Implementations, and Theory: http://
arxiv.org/abs/2310.20360
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#AI #Mathematics #BigData #DataScience #Algorithms #MachineLearning #Calculus #LinearAlgebra #DataScientists
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Mathematical Introduction to Deep Learning Methods and Theory PDF
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Linear Models in Machine Learning and Statistical Learning PDF eBook
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[Download 400-page PDF eBook] Linear Models in #MachineLearning and Statistical Learning: https://
arxiv.org/abs/2401.00649 —————
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Applied Causal Inference with Machine Learning and AI
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[Download 496-page PDF eBook] Applied Causal #Inference Powered by #MachineLearning and #AI: https://
arxiv.org/abs/2403.02467 #ML #DataScience #Algorithms #Statistics -
Extracting K-means Centroids from pgvector Embeddings
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Is there a way to get clusters of vectors with pgvector? Goal: auto-generate groups within data that has embedding vectors. Basically, calculate the k-means centroids like ivfflat does but get the actual centroids instead of "just" creating an index?
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Faster Inference Engines Enable Real-Time Content Iteration in Software Development
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Thanks to @freufreu for this fun demo showing that the advent of faster inference engines allows us to iterate on the entire content at every prompt during software development. https://
youtu.be/eR855VNPjhk -
Claude 3 Opus Generates Executable Workflows From English Instructions
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We are using models to go from English instructions to fully running workflows (code). Claude3 opus has been doing great; less chatty, more precise. @Lutra_AI
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Daily Deep Learning Workout: CNNs, RNNs, and CUDA Kernel Training
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daily deep learning workout: train two CNNs and three RNNs. perform ten minutes of quantized LLM transformer inference. write CUDA kernels until failure
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Data Science Toolkit: From Machine Learning to Deployment Guide
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Unpack the world of Data Science with this concise infographic by Gina Acosta Gutiérrez! It's a toolkit to navigate from machine learning to deployment. Elevate your expertise with "The Digital Edge" https://
bit.ly/3u4pILl by @ingliguori
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Essential Steps for Successful AI Project Implementation
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Great article for #AIConsultants discussing the steps for #AI projects: Understand the Problem Data Collection & Prep Model Building Testing & Validation Deployment Monitoring & Maintenance
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Simple Multi-Backend Model for Sequence Similarity Estimation
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Here's a simple model I wrote yesterday (it learns to estimate a similarity metric between pairs of sequences). It runs with all backends — no code changes. Tried PT -> trains at 24ms/step on V100. Tried JAX -> trains at 10ms/step on V100.