InLlamaIndex BlogbyJerry LiuData AgentsToday we’re incredibly excited to announce the launch of a big new capability within LlamaIndex: Data Agents.Jul 12, 20234Jul 12, 20234
InBetter ProgrammingbyWenqi GlantzBuilding Your Own DevSecOps Knowledge Base with OpenAI, LangChain, and LlamaIndexBuilding your custom knowledge base chatbotJun 24, 202313Jun 24, 202313
InBetter ProgrammingbyKristofWriting Professional Python LogsBest practices and essential tips for effective Python logging in your projectsJul 1, 20235Jul 1, 20235
InEntrepreneurship HandbookbyDaniel RizeaWhat I’ve Learned After Holding One Thousand InterviewsHow hiring works in startups and big companiesMay 17, 202324May 17, 202324
InPinterest Engineering BlogbyPinterest EngineeringAn ML based approach to proactive advertiser churn preventionErika Sun ML Engineer | Advertiser Growth Modeling Team; Ogheneovo Dibie Engineering Manager | Advertiser Growth Modeling TeamMay 9, 20237May 9, 20237
InData Science at MicrosoftbyDaniel TaubeBuilding a collaboration platform for a data science teamIn the past, data scientists were often considered to be a “one-man-show,” but this is no longer the case. It’s common for modern data…Mar 28, 2023Mar 28, 2023
InBolt LabsbyMartin LumisteHow we do data science at BoltEnd to end data science in a product organisation with global impactOct 4, 20224Oct 4, 20224
Angelina YangLarge-scale Recommendation System In ProductionRecommendation systems are critical to the success of today’s online commercial platforms.Aug 27, 2022Aug 27, 2022
Intech-at-instacartbyGuanghua ShuLessons Learned: The Journey to Real-Time Machine Learning at InstacartAuthors: Guanghua Shu and Sahil KhannaSep 6, 20222Sep 6, 20222
InTDS ArchivebyTan Pengshi AlvinThe Complete Guide to Effective Learning in Artificial IntelligenceA fundamental and complete guide to skyrocket your growth in Artificial Intelligence (or really in any subject)Oct 31, 2021Oct 31, 2021
InTDS ArchivebyEmma Ding7 A/B Testing Questions and Answers in Data Science InterviewsA/B tests, a.k.a controlled experiments, are used widely in industry to make product launch decisions. It allows tech companies to…Jan 18, 202113Jan 18, 202113
Scott Galloway2023 PredictionsEvery year we make predictions. The purpose is to inspire a conversation. We also try to hold ourselves accountable. Here are some of our…Jan 4, 202355Jan 4, 202355
InNetflix TechBlogbyNetflix Technology BlogOrchestrating Data/ML Workflows at Scale With Netflix Maestroby Jun He, Akash Dwivedi, Natallia Dzenisenka, Snehal Chennuru, Praneeth Yenugutala, Pawan DixitOct 18, 20225Oct 18, 20225
InThe Airbnb Tech BlogbyMihajlo GrbovicListing Embeddings in Search RankingListing Embeddings for Similar Listing Recommendations and Real-time Personalization in Search RankingMar 13, 201813Mar 13, 201813
InData Science at MicrosoftbyKaixin WangIntroduction to Gaussian process regression, Part 2: Application to predicting concrete strengthThe mathematical formulation and a simple example of Gaussian Process Regression (GPR) served as the basis for my first article in this…Oct 11, 20222Oct 11, 20222
Netflix Technology BlogRecSysOps: Best Practices for Operating a Large-Scale Recommender Systemby Ehsan Saberian and Justin BasilicoSep 30, 20221Sep 30, 20221
InFuture VisionbyWinston RobsonThe Math of ProphetBreaking down the Equation behind Facebook’s open-source Time Series Forecasting procedureJun 17, 20194Jun 17, 20194
InData Science at MicrosoftbyKaixin WangIntroduction to Gaussian process regression, Part 1: The basicsGaussian process (GP) is a supervised learning method used to solve regression and probabilistic classification problems.¹ It has the term…Oct 4, 2022Oct 4, 2022
Leihua Ye, PhDWhy Data Scientists Should Learn Causal InferenceClimb up the ladder of causationJul 5, 202210Jul 5, 202210
