Mohamed HmamouchDouble Machine Learning for Causal Inference: A Practical GuideUsing Double Machine Learning to accurately estimate treatment effectsSep 8, 202410Sep 8, 202410
InTowards AIbyShenggang LiTime Series Forecasting with Genetic Algorithms: A Novel ApproachExploring How Genetic Algorithms Can Adapt and Improve Time Series Predictions Beyond Traditional MethodsOct 12, 2024Oct 12, 2024
Bargougui HaikelFrom RNNs to TRANSFORMERS: Evolution and Advancements in Sequence ModelingContent: DeepLearningApr 26, 2024Apr 26, 2024
Ritesh GuptaCan You Handle These 25 Toughest Data Science Interview Questions?The role of a Data Scientist demands a unique blend of skills, including statistics, machine learning, data analysis, and programming. In…Sep 25, 202414Sep 25, 202414
InTowards Data SciencebyHesam SheikhWhat We Still Don’t Understand About Machine LearningMachine Learning unknowns that researchers struggle to understand — from Batch Norm to what SGD hidesJul 26, 20245Jul 26, 20245
InTowards AIbyHesam SheikhHow I Stay Up to Date With the Latest AI Trends [2024]Stay ahead of the AI game with a concise list of resources…Aug 15, 202417Aug 15, 202417
InTowards Data SciencebyPiero PaialungaHands On Neural Networks and Time Series, with PythonFrom the very simple Feed Forward Neural Networks to the majestic transformers: everything you need to knowAug 30, 20244Aug 30, 20244
Manan SuriA Dummy’s Guide to Word2VecEssentials of Word2Vec + Implementing Word2Vec using gensimJan 21, 20223Jan 21, 20223
InTowards Data SciencebyYann-Aël Le BorgneOpenAI vs Open-Source Multilingual Embedding ModelsChoosing the model that works best for your dataFeb 24, 202415Feb 24, 202415
InNetflix TechBlogbyNetflix Technology BlogRound 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 6, 20246Jun 6, 20246
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 21, 20241May 21, 20241
InTowards Data SciencebyCristian LeoReinforcement 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 23, 20241May 23, 20241
Manas ChopraAudio Similarity Search Using QdrantUnlocking the Secrets of Spotify’s Recommendation MagicJun 22, 2024Jun 22, 2024
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 3, 202431Jun 3, 202431
Alberto RomeroTreat AI News Like a River, Not a BucketA quick fix to the overwhelming amount of stuff going on in AIMay 22, 202414May 22, 202414
InTowards Data SciencebyTorsten WalbaumWhat 10 Years at Uber, Meta and Startups Taught Me About Data AnalyticsAdvice for Data Scientists and ManagersMay 30, 2024102May 30, 2024102
InLevel Up CodingbyFareed KhanBuilding LLaMA 3 From Scratch with PythonCode Your Own Billion Parameter LLMMay 28, 202417May 28, 202417
InAIGuysbyVishal RajputPrompt Engineering Is Dead: DSPy Is New Paradigm For PromptingDSPy Paradigm: Let’s program — not prompt — LLMsJun 19, 202478Jun 19, 202478
InTowards Data SciencebySkylar Jean CallisAttention for Vision Transformers, ExplainedThe Math and the Code Behind Attention Layers in Computer VisionFeb 27, 20244Feb 27, 20244
InTowards Data SciencebySkylar Jean CallisPosition Embeddings for Vision Transformers, ExplainedThe Math and the Code Behind Position Embeddings in Vision TransformersFeb 27, 20244Feb 27, 20244