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Weekly Selection

An Overview of ResNet and its Variants

By Vincent Fung – 11 min read.

After the celebrated victory of AlexNet [1] at the LSVRC2012 classification contest, deep Residual Network [2] was arguably the most groundbreaking work in the computer vision/deep learning community in the last few years.


My two cents on what makes a good data scientist nowadays?

By Dat Tran – 6 min read.

My parents recently asked me what I do for living again. In the past, it was not that easy to explain as being in data science was not a well-defined field. Even when I started my first job at Accenture, I barely knew what I really do. Of course there were some definitions like:


Predicting Logic’s Lyrics With Machine Learning

By Hans Kamin – 9 min read.

The crux of this implementation involves creating a Bigram Markov Chain to represent the English language. More specifically, our chain will be a dictionary object in which each key is a unique tuple consisting of a word and the word that follows it.


Building a Bayesian deep learning classifier

By Kyle Dorman – 19 min read.

In this blog post, I am going to teach you how to train a Bayesian deep learning classifier using Keras and tensorflow.


Simple Convolutional Neural Network for Genomic Variant Calling with TensorFlow

By Jason Chin – 10 min read.

No doubt that the fast development of recent progress using deep neural network has change the way that we can solve various problem from image recognition to genomics.


Best Bookshelf: Data Visualization Adapting Real World Objects with D3.js

By Tanyoung Kim – 8 min read.

What’s the first visual form that comes up when you hear "Data Visualization"? Bar charts or line graphs? Something more fancy like heatmap or force-directed network?


Is this a taco? A machine learning experiment with Custom Vision

By Elisha Terada – 5 min read.

Ever wondered how to get your hands on machine learning (ML)? Well, now you can through machine learning services provided over the cloud, called Function as a Service (FaaS).


Montreal painted by Huang Gongwang: Neural Style Networks

By Gabriel Tseng – 6 min read.

A really cool application of CNNs (convolutional neural networks) recently has been to style neural networks; these involve isolating the style of one image, the content of another, and combining them.


The Role of Machine Learning in Making EHRs Worth It

By Leonard D’Avolio PhD – 5 min read.

A great op-ed published in The Wall Street Journal called "Turn Off the Computer and Listen to the Patient" brought a critical healthcare issue to the forefront of the national discussion


Can a deep neural network compose music?

By Justin Svegliato – 9 min read.

When I first started grad school last September, I wanted to jump right into the deep learning craze as soon as I could.


About Neural Networks and Deep Learning

By Pranjal Srivastava— 19 min read.

The number crunching and data processing capabilities of a modern-day computer are just amazing. But what if I tell you that these stand nowhere when compared to those of a human brain?


Unleash the value of PROCESS MINING

By Thomas Filaire – 10 min read.

The purpose of this article is to introduce the reader to process mining, an innovative analytical approach to learn about any process in an objective and exhaustive manner.


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