Hesam SheikhinTowards Data ScienceWhat We Still Don’t Understand About Machine LearningMachine Learning unknowns that researchers struggle to understand — from Batch Norm to what SGD hidesJul 265Jul 265
Hesam SheikhinTowards AIHow I Stay Up to Date With the Latest AI Trends [2024]Stay ahead of the AI game with a concise list of resources…Aug 1514Aug 1514
Piero PaialungainTowards Data ScienceHands On Neural Networks and Time Series, with PythonFrom the very simple Feed Forward Neural Networks to the majestic transformers: everything you need to knowAug 304Aug 304
Manan SuriA Dummy’s Guide to Word2VecEssentials of Word2Vec + Implementing Word2Vec using gensimJan 21, 20221Jan 21, 20221
Yann-Aël Le BorgneinTowards Data ScienceOpenAI vs Open-Source Multilingual Embedding ModelsChoosing the model that works best for your dataFeb 2415Feb 2415
Netflix Technology BloginNetflix TechBlogRound 2: A Survey of Causal Inference Applications at NetflixAt Netflix, we want to ensure that every current and future member finds content that thrills them today and excites them to come back for…Jun 66Jun 66
Crystal XCan you predict the price of bitcoin using a linear regression model?This may very well be my last post on predicting bitcoin prices (for a while anyway) becauseIi have covered several different models that…May 211May 211
Cristian LeoinTowards Data ScienceReinforcement Learning: Deep Q-NetworksTeaching a shuttle to land on the moon using Deep Q-Networks in Python. A mathematical deep dive into Reinforcement Learning.May 231May 231
Manas ChopraAudio Similarity Search Using QdrantUnlocking the Secrets of Spotify’s Recommendation MagicJun 22Jun 22
Patrick DoughertyBuilding AI Agents: Lessons Learned over the past YearBuilding AI Agents over the past year has been a roller coaster… Here’s a little overview of what I’ve learned so far.Jun 326Jun 326
Alberto RomeroTreat AI News Like a River, Not a BucketA quick fix to the overwhelming amount of stuff going on in AIMay 2215May 2215
Torsten WalbauminTowards Data ScienceWhat 10 Years at Uber, Meta and Startups Taught Me About Data AnalyticsAdvice for Data Scientists and ManagersMay 3097May 3097
Fareed KhaninLevel Up CodingBuilding LLaMA 3 From Scratch with PythonCode Your Own Billion Parameter LLMMay 2815May 2815
Vishal RajputinAIGuysPrompt Engineering Is Dead: DSPy Is New Paradigm For PromptingDSPy Paradigm: Let’s program — not prompt — LLMsJun 1977Jun 1977
Skylar Jean CallisinTowards Data ScienceAttention for Vision Transformers, ExplainedThe Math and the Code Behind Attention Layers in Computer VisionFeb 274Feb 274
Skylar Jean CallisinTowards Data SciencePosition Embeddings for Vision Transformers, ExplainedThe Math and the Code Behind Position Embeddings in Vision TransformersFeb 273Feb 273
Skylar Jean CallisinTowards Data ScienceVision Transformers, ExplainedA Full Walk-Through of Vision Transformers in PyTorchFeb 2711Feb 2711
Skylar Jean CallisinTowards Data ScienceTokens-to-Token Vision Transformers, ExplainedA Full Walk-Through of the Tokens-to-Token Vision Transformer, and Why It’s Better than the OriginalFeb 272Feb 272
Srijanie Dey, PhDinTowards Data ScienceDeep Dive into Sora’s Diffusion Transformer (DiT) by Hand ✍︎Explore the secret behind Sora’s state-of-the-art videosApr 25Apr 25
Srijanie Dey, PhDinTowards Data ScienceDeep Dive into Transformers by Hand ✍︎Explore the details behind the power of transformersApr 128Apr 128
