A book digest about Mark Samuel’s “Reimagining Team Building — The Missing Piece”, and a reflection of our common ineffective team building activities — Introduction In the modern corporate world, regardless of our industries, job functions, or positions, we have to work in the setting of a team. Therefore, as leaders or aspiring future leaders, it’s imperative that we excel at team building, which is the main avenue to increase team effectiveness. I recently…

An end-to-end tutorial of training a machine learning model to translate from natural language questions/instructions to SQL queries using Tensorflow. — Introduction In this blog post, we’re going to look at an interesting task: translating natural language to SQL. The academic term for that is natural language interface for database (NLIDB). Even though NLIDB is still an area of active research, building a model for one simple table is actually pretty…

This blog post walks through the training and inference of attention-based machine translation using only high level Tensorflow API. It’s a simplified end to end tutorial that aims to minimize lines of code. There are a lot of online tutorials on this topic. But most of them they’re all variants…

A line-by-line coding tutorial of generating linguistic variants of source natural language data — Even though natural language text is abundantly available on the internet nowadays, we often still face the shortage of data for domain specific tasks. For example, say we want to build a natural language interface that takes in the user’s natural language input and outputs a domain specific translation such…

An empirical study of the effect of various text preprocessing techniques using Tensorflow. When it comes to natural language processing, a critical but often glazed over pre-step is text preprocessing. There are many ways to preprocess the input before feeding it into a model. …

Learn the ideas behind those models and their implementations in Tensorflow — In the previous blog post, we have examined Graph Convolutional Networks (GCN) in detail. It allows us to leverage not only the node features but also the node connections to train a machine learning model, which significantly outperforms the model trained purely on the node features. In this blog post…

Getting started with a hands-on tutorial on graph neural network In this blog post, we’ll go through a thorough tutorial of training a graph convolutional network (GCN). The tutorial contains a brief explanation of the idea behind GCN and a line by line training implementation in Tensorflow. Let’s first take…

Preamble I recently passed the Google Cloud Professional Machine Learning Engineer Certificate exam. I figure I’d write a blog post about it. There are already a few blog posts online on this topic. But all of them are one or two years old. In addition, I think in general there…

Preamble In a previous blog post, we examined the various types of load balancers and some intriguing areas like routing algorithm, SSL termination, and single point of failure. In this blog post, we’ll build on the theme and zoom in on cloud load balancers, which embodies some noteworthy design ideas…