Kai Xin ThiainTowards Data ScienceThe Future of Visual Recommender Systems: Four Practical State-Of-The-Art TechniquesThe future of visual RecSys is an exciting one. Let us explore some of the most cutting edge techniques and ideas that we can incorporate…Apr 10, 20201Apr 10, 20201
Kai Xin ThiainTowards Data ScienceTemporal Fashion RecommenderBuilding a Recommender That Evolves with SeasonsApr 5, 2020Apr 5, 2020
Kai Xin ThiainTowards Data ScienceBuilding a Personalized Real-Time Fashion Collection RecommenderWe will make use of transfer learning, approximate nearest neighbors, and embeddings centroid detection in PyTorch to build our…Mar 28, 20203Mar 28, 20203
Kai Xin ThiainAnalytics VidhyaCOVID-19 Case Study with CNNWe will cluster COVID-19 X-ray images based on severity with our CNN RecSys flow using transfer learning, Spotify’s Annoy, and PyTorchMar 21, 20201Mar 21, 20201
Kai Xin ThiainAnalytics VidhyaConvolutional Neural Networks RecommenderWe will build a recommender by leveraging transfer learning with ResNet and return visually similar products across 240K images within 2msMar 20, 2020Mar 20, 2020
Kai Xin ThiainAnalytics VidhyaIntro to Visual RecSysWe will explore the “hello world” data for visual models, the FashionMNIST dataset from Zalando with PyTorch, Tensorboard and Colab.Mar 12, 2020Mar 12, 2020
Kai Xin ThiainAnalytics VidhyaHow to Design a Recommender?For this chapter, I will introduce the RecSys Design Framework with a case study of Amazon.Mar 4, 20201Mar 4, 20201
Kai Xin ThiainArtificial Intelligence in Plain EnglishHow does a recommender work?In this series of articles, I will introduce modern approaches to visual recommender systems. We begin with a case study of Spotify.Feb 26, 2020Feb 26, 2020
Kai Xin ThiaHow to create differentiating products in the face of AI democratizationI have the privilege of hosting Avi (VP — Data Sciences, AI & ML, InMobi), Hong Ting (CEO and Cofounder, Botbot.AI) and Kenny (Head of R&D…May 30, 2018May 30, 2018