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PinnedInTDS ArchivebyDmytro Nikolaiev (Dimid)·Apr 30, 2022Top 7 Machine Learning resources I wish I knew earlierNot teaching materials, just useful websitesA response icon5A response icon5
PinnedInTDS ArchivebyDmytro Nikolaiev (Dimid)·Nov 2, 2021Overfitting and Underfitting PrinciplesUnderstand basic principles of underfitting and overfitting and why you should use particular techniques to deal with themA response icon4A response icon4
PinnedInTDS ArchivebyDmytro Nikolaiev (Dimid)·Feb 17, 2022Unsupervised Learning algorithms cheat sheetA complete cheat sheet for all unsupervised machine learning algorithms you should knowA response icon1A response icon1
PinnedInTDS ArchivebyDmytro Nikolaiev (Dimid)·Sep 21, 2021Supervised Learning algorithms cheat sheetComplete cheat sheet for all supervised machine learning algorithms you should know with pros, cons, and hyperparametersA response icon3A response icon3
InTDS ArchivebyDmytro Nikolaiev (Dimid)·Jun 22, 2023Using ChatGPT for Efficient DebuggingEnhance your debugging experience and learn faster with the power of Large Language Models
InTDS ArchivebyDmytro Nikolaiev (Dimid)·Mar 31, 2023Behind the Millions: Estimating the Scale of Large Language ModelsDiscussing LLMs like ChatGPT, the underlying costs, and inference optimization approachesA response icon6A response icon6
Dmytro Nikolaiev (Dimid)·Feb 16, 2023How Much Can You Earn Blogging about Machine Learning in One YearPublishing your articles on Medium and Towards Data ScienceA response icon1A response icon1
InTDS ArchivebyDmytro Nikolaiev (Dimid)·Jan 13, 2023How to Estimate the Number of Parameters in Transformer modelsAn inside look at the Transformer Encoder/Decoder building blocksA response icon6A response icon6
InTDS ArchivebyDmytro Nikolaiev (Dimid)·Dec 2, 2022Graphs with Python: Overview and Best LibrariesGraph analysis, interactive visualizations, and graph machine learningA response icon2A response icon2
