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Sunday, September 25, 2022
OpenPair: (Explanation) Vectorization w/ Python & Numpy (Machine Learning, AI)
--- This video is an explanation (tutorial) about Vectorization in python Summary: Vectorization allows you to use GPU hardware to perform calculations in parallel, which makes executing numerical operations much faster. 📖 Notes: • PDF Notes on Vectorization: https://lnkd.in/ekvb-mkj • PDF Version of this Jupyter Notebook: https://tinyurl.com/waukznss --- 🎒 Resources: • Machine Learning for Humans: https://lnkd.in/ggyTSdpK • Python for Data Analysis: https://lnkd.in/g4zR_4eu • Learn Pytorch: https://lnkd.in/gSerhAQM • Pytorch Reading Materials: https://lnkd.in/gZu-gUPy • Machine Learning (Coursera): https://lnkd.in/gFWfD-7j • Deeplearning Book: tinyurl.com/ywkfk9zu • Deeplearning/ML Notation Guide: tinyurl.com/yck3w9k2 ---- 🙋🏾 About Me: • LinkTree: https://lnkd.in/g55q-znf • LinkedIn: https://lnkd.in/g2AWuSqv • Tech Blog: https://www.mater.dev/ • Instagram: https://lnkd.in/ekC8eFb --- Credits: Music credits (Stomp's Playlist): https://www.youtube.com/watch?v=_jUJmTMSS00 Artwork by Mater Development
Labels:
AI,
Artificial Intelligence,
Data Science,
gpu,
Machine Learning,
machine learning algorithms,
ML,
numpy,
openpair,
Python,
software engineering,
Supervised Learning,
univariate linear regression,
vectorization
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