Published inTDS ArchiveMixture Models, Latent Variables and the Expectation Maximization AlgorithmUnsupervised learning has always been fascinating to me. It is a way to learn about data without manual labeling effort and allows for the…Mar 19, 2023172Mar 19, 2023172
Published inTDS ArchiveA Deep Dive into Dimensionality Reduction with PCAA mathematical deep dive into a simple yet powerful dimensionality reduction algorithm!Jul 13, 2022236Jul 13, 2022236
Published inTDS ArchiveAn Introduction to Bayesian InferenceIntroducing Markov Chain Monte Carlo and Variational inference with code and math snippetsMay 30, 2022211May 30, 2022211
Published inTDS ArchiveDesigning a Chemical Reactor with Data ScienceWhat happens when a data scientist tries to work on a chemical engineering project?Apr 5, 2022157Apr 5, 2022157
Published inTDS ArchiveAn Introductory Primer to Bayesian StatisticsA mathematical introduction to the world of Bayesian StatisticsJan 14, 20221271Jan 14, 20221271
Published inTDS ArchiveLeveling up your Machine Learning ProjectsA practical guide on how to structure machine learning projectsDec 29, 2021601Dec 29, 2021601
Published inTDS Archive5 Essential Concepts for new Data ScientistsData science can be extremely intimidating especially when just starting out. While it can be easy to use plug-and-play code snippets…Dec 14, 2021141Dec 14, 2021141
Published inTDS ArchiveUnderstanding RegularisationAt the start of this year, I had a very limited understanding of regularization. To me, it was simply a tool to use when overfitting. If…Sep 18, 202134Sep 18, 202134
Published inTDS ArchiveBuilding a VAE Playground with StreamlitWith Streamlit creating a deploying a web app can be very easy!Jul 2, 202195Jul 2, 202195
Published inGeek CultureMy Data Science Internship: The Start-up experienceTwo weeks ago, I ended a 6 months internship at AiPalette. I have learnt so much from working there and have walked away a much better data…Jun 21, 2021271Jun 21, 2021271
Published inTDS ArchiveBeginner Guide to Variational Autoencoders (VAE) with PyTorch Lightning (Part 3)Building a new model with minimal additional codeJun 10, 2021Jun 10, 2021
Published inTDS ArchiveBeginner guide to Variational Autoencoders (VAE) with PyTorch Lightning (Part 2)May 3, 2021May 3, 2021
Published inTDS ArchiveBeginner guide to Variational Autoencoders (VAE) with PyTorch LightningUnderstanding VAEs and how they can be used to generate new dataApr 5, 2021Apr 5, 2021
Published inTDS ArchiveWhat’s Cooking! — Categorizing Cuisines with NLPWhat makes a dish a cultural specialty? Herbs, vegetables or maybe a special ingredient unique to that region. Today we will be looking at…May 17, 20202May 17, 20202
Published inTDS ArchiveDengue Forecasting using XGBoost and LSTMDengue in SingaporeJan 8, 2020Jan 8, 2020
