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Weekly Selection – Feb 15, 2019

A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage)

By 黃功詳 Steeve Huang – 8 min read

Recently, Graph Neural Network (GNN) has gained increasing popularity in various domains, including social network, knowledge graph, recommender system, and even life science.


Succeeding as a data scientist in small companies/startups

By Randy Au – 9 min read

I’ve spent almost 12 years now at companies sized between 15–150 wearing various hats of "data analyst, engineer, and occasionally, scientist.


What no one will tell you about data science job applications

By Edouard Harris – 6 min read

I’m a physicist who works at a YC startup. Because of what our company does, I get lots of emails that ask me for data science career advice.


Audio AI: isolating vocals from stereo music using Convolutional Neural Networks

By Ale Koretzky – 15 min read

What if we could go back to 1965, knock on Abbey Road Studios’ front door holding an ‘All Access’ badge, and have the privilege of listening to those signature Lennon-McCartney harmonies A-Capella?


A Comprehensive Introduction to Different Types of Convolutions in Deep Learning

By Kunlun Bai – 31 min read

In this article, I summarize several types of convolution commonly used in Deep Learning, and try to explain them in a way that is accessible for everyone.


Feature Selection with sklearn and Pandas

By Abhini Shetye – 8 min read

Feature selection is one of the first and important steps while performing any machine learning task. A feature in case of a dataset simply means a column.


An Introduction on Time Series Forecasting with Simple Neural Networks & LSTM

By Susan Li – 5 min read

The purpose of this article is to explain Artificial Neural Network (ANN) and Long Short-Term Memory Recurrent Neural Network ** (LSTM RNN)** and enable you to use them in real life and build the simplest ANN and LSTM recurrent neural network for the time series data.


Limitations of Deep Learning in AI Research

By Roberto Iriondo

Deep learning a subset of machine learning, has delivered super-human accuracy in a variety of practical uses in the past decade.


Master Python through building real-world applications (Part 8)

By Dhrumil Patel – 9 min read

There is no doubt that Data Science (in general) is the next big thing and these numbers are proof that Data Scientists love Python. And as we all know, numbers don’t lie.


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