PinnedDmytro Nikolaiev (Dimid)inTowards Data ScienceSummarising Best Practices for Prompt EngineeringHow to build your own LLM-based application using OpenAI APIMay 29, 20233May 29, 20233
PinnedDmytro Nikolaiev (Dimid)inTowards Data ScienceTop 7 Machine Learning resources I wish I knew earlierNot teaching materials, just useful websitesApr 30, 20226Apr 30, 20226
PinnedDmytro Nikolaiev (Dimid)inTowards Data ScienceOverfitting and Underfitting PrinciplesUnderstand basic principles of underfitting and overfitting and why you should use particular techniques to deal with themNov 2, 20214Nov 2, 20214
PinnedDmytro Nikolaiev (Dimid)inTowards Data ScienceUnsupervised Learning algorithms cheat sheetA complete cheat sheet for all unsupervised machine learning algorithms you should knowFeb 17, 20221Feb 17, 20221
PinnedDmytro Nikolaiev (Dimid)inTowards Data ScienceSupervised Learning algorithms cheat sheetComplete cheat sheet for all supervised machine learning algorithms you should know with pros, cons, and hyperparametersSep 21, 20213Sep 21, 20213
Dmytro Nikolaiev (Dimid)inTowards Data ScienceUsing ChatGPT for Efficient DebuggingEnhance your debugging experience and learn faster with the power of Large Language ModelsJun 22, 2023Jun 22, 2023
Dmytro Nikolaiev (Dimid)inTowards Data ScienceBehind the Millions: Estimating the Scale of Large Language ModelsDiscussing LLMs like ChatGPT, the underlying costs, and inference optimization approachesMar 31, 20236Mar 31, 20236
Dmytro Nikolaiev (Dimid)How Much Can You Earn Blogging about Machine Learning in One YearPublishing your articles on Medium and Towards Data ScienceFeb 16, 20231Feb 16, 20231
Dmytro Nikolaiev (Dimid)inTowards Data ScienceHow to Estimate the Number of Parameters in Transformer modelsAn inside look at the Transformer Encoder/Decoder building blocksJan 13, 20236Jan 13, 20236
Dmytro Nikolaiev (Dimid)inTowards Data ScienceGraphs with Python: Overview and Best LibrariesGraph analysis, interactive visualizations, and graph machine learningDec 2, 20222Dec 2, 20222