Published in Towards Data Science·Sep 28, 2020Member-onlyWhat can we do to help convert leads?A brief introduction to visualizing results from machine learning — Overview This blog post is to demonstrate the studying and interpretation of the relationships between machine learning model output and various input variables — as a starting point to optimize lead conversion. Business context-wise, we will be learning about an online education company called X Education that sells online courses…Machine Learning6 min readMachine Learning6 min read
Dec 22, 2019Weak Supervision (Part I)This is a short introduction on Snorkel, a Stanford-built system to explore new labeling processes with Weak Supervision. Overview The original article with links to technical papers can be found here. Part I of this blog will cover overview and challenges of machine learning, particularly within the realm of labeling…Machine Learning3 min readMachine Learning3 min read
Oct 27, 2019How long do popular songs last on Spotify, across different places?Introduction to heatmap visualization with D3. This blog post is a quick introduction to interactive data visualization with D3. The focus of this post is to walk to basic ideas/steps of visualizing data, as opposed to actual technical implementation. Live Demo(Chrome on PC for best experience). Data Available here. It…Data Visualization3 min readData Visualization3 min read
Published in Towards Data Science·Dec 15, 2018Time-series Forecasting FlowA brief introduction on critical steps in demand forecasting Collecting The key here is the format of data storage. Intuitively we think of time-series data in the format below, also known as the wide format.Data Science3 min readData Science3 min read
Mar 22, 2018Data Science x Project PlanningA non-technical guide to k-NN algorithm and its application on forecasting, from a project planning point of view, and for beginners. Introduction The intended audience for this short blog post are data science practitioners who seek to implement predictive algorithms in a business-project-based setting, with special focus on presenting the…Data Science5 min readData Science5 min read
Published in Towards Data Science·Nov 24, 2017Beautiful Data Science PresentationsAn introduction to making visually attractive PowerPoint slides. — Overview The intended audience of this short blog post is someone who is interested in putting together presentations for 3 different purposes: sales kit, process flow, and analytics report. Of course, the key idea of this post is not limited to data science projects only, hence someone coming from outside…Design5 min readDesign5 min read
Sep 28, 2017Outlier Scorer from Scratch with RA short guide to identify outliers in multi-dimensional space. — Audience In this short blog post, we will cover the basics of a common auto-encoder method — matrix decomposition — in order to detect outliers. We will be using base function in R to code the reversed PCA projection model for matrix decomposition. The intended audience for this blog post…Data Science3 min readData Science3 min read
Apr 23, 2017Which customers are more likely to respond to bank’s marketing campaigns?A quick demonstration on business consulting with data science — Audience The intended audience for this blog post is marketers who have read the earlier post on 5-step data science consulting framework, and are keen to learn more about the actual implementation of such projects. We will be using the caret package in R as a quick demonstration. Overview The…Machine Learning6 min readMachine Learning6 min read
Published in Startups & Venture Capital·Apr 16, 2017Competitive analysis on Facebook fan pages with RAn approach combining Facebook Graph and Microsoft Face APIs — Audience The intended audience for this blog post is marketers who wish to learn more about how consumers are engaging with competitor Facebook fan pages. We will briefly demonstrate how this can be done with publicly available APIs including Facebook Graph API and Microsoft Face API through R. Background With…Digital Marketing3 min readDigital Marketing3 min read
Mar 28, 2017Will patients show up to their medical appointments?An introduction to parameter tuning with sci-kit learn in Python — Audience The intended audience for this short blog post is someone who is new to machine learning and is keen to learn more about parameter tuning on different algorithms to produce the best prediction results. The Python code and visualization style are inspired by: Introduction to Machine Learning with Python…Machine Learning3 min readMachine Learning3 min read
