InTDS ArchivebyVictor GraffDimension Reduction: Facing the Curse of DimensionalityComparison of PCA and dynamic factor modelApr 13, 2023Apr 13, 2023
InTDS ArchivebyNicholas LeongHow I Redesigned over 100 ETL into ELT Data PipelinesLevel up your Data Pipelines!Oct 4, 20216Oct 4, 20216
Jonathan HuiAI BiasMachines learn from huge amounts of data to make decisions faster and cheaper. And it formalizes a process to avoid prejudice. But are…Nov 15, 20211Nov 15, 20211
Jonathan HuiAI Bias & Fairness SeriesA good video lecture on an AI topic may be watched by hundreds of thousands of people. But a nice lecture on AI fairness may receive only…Jan 3, 2022Jan 3, 2022
Tech NinjaData Engineering Technologies in 202199.4% People don’t know all of these Data Engineering technologiesNov 15, 202110Nov 15, 202110
Cassie KozyrkovThe best AI course you’ve ever watchedThe ultimate course to educate AI beginners and amuse AI experts is finally available for free!Nov 25, 202118Nov 25, 202118
InTDS ArchivebyTerence Shin, MSc, MBAAll Machine Learning Algorithms You Should Know in 2022Intuitive explanations of the most popular machine learning modelsNov 4, 202116Nov 4, 202116
Yi-Hsiang Kao教電腦寫作:AI球評——Seq2seq模型應用筆記(PyTorch + Python3)對於一個non-native speaker來看,好像真的煞有其事(笑)。Jan 8, 20181Jan 8, 20181
Tommy Huang機器/深度學習: 基礎介紹-損失函數(loss function)機器學習大部分的算法都有希望最大化/最小化一個函數/指標,這個函數被稱為「目標函數(Object…Sep 27, 201812Sep 27, 201812
InUSF-Data SciencebyNeerja DoshiDeep Learning Best Practices (1) — Weight InitializationBasics, weight initialization pitfalls & best practicesMar 26, 20185Mar 26, 20185
InTDS ArchivebyArtem OppermannBayes’ Theorem: The Holy Grail of Data ScienceIntuitive derivation of the Bayes’ TheoremDec 22, 201835Dec 22, 201835
陳家陞 Chia-Sheng Chen1. Convolutional Sequence to Sequence LearningICML ’17, Jonas Gehring et al., FAIRNov 12, 2017Nov 12, 2017
InHCLTech-Starschema BlogbyChris von Csefalvay CPH FRSPH MTOPRATransfer learning: the dos and don’tsTransfer learning leverages the training that has gone into pre-trained models for your own use case. Here’s how to do it the right way.Mar 17, 20196Mar 17, 20196
InTDS ArchivebyTal PeretzMastering The New Generation of Gradient BoostingCatboost, the new kid on the block, has been around for a little more than a year, and it is already threatening XGBoost, LightGBM and H2O.Oct 18, 20183Oct 18, 20183
InTDS ArchivebyAdrien Lucas EcoffetPaper repro: Deep Metalearning using “MAML” and “Reptile”How do you learn from very little data? Two recent papers may have the answer. Let’s reproduce them!Apr 2, 20189Apr 2, 20189
InTDS ArchivebyAdnan SiddiqiGetting started with Apache AirflowIn this post, I am going to discuss Apache Airflow, a workflow management system developed by Airbnb.Sep 25, 201811Sep 25, 201811
InTDS ArchivebySanatan MishraUnsupervised Learning and Data ClusteringA task involving machine learning may not be linear, but it has a number of well known steps:May 19, 20171May 19, 20171
InThe StartupbyPrzemek ChojeckiMath Books you should read in 2020Learn how mathematics influence every aspect of our life.Feb 29, 202012Feb 29, 202012
InDataDrivenInvestorbyMatt HergottA Leap into the Future: Generative Adversarial NetworksIs December 12, 2018, a day the world changed forever? That Wednesday, a team of researchers at NVIDIA released a dazzling new artificial…Feb 18, 20192Feb 18, 20192