By Joyce Xu – 16 min read
I want to talk about technical approaches to mitigating algorithmic bias.
Why you’re not a job-ready data scientist (yet)
By Jeremie Harris – 6 min read
If there’s one thing I’ve learned from the data science mentorship startup I work at, it’s this: getting feedback on your data science job application or interview is virtually impossible.
What 70% of Data Science Learners Do Wrong
By Dan Becker – 3 min read
Lessons Learned from Repeatedly Smashing My Head With a 2-Meter Long Metal Pole For A College Engineering Course
10 Simple hacks to speed up your Data Analysis in Python
By Parul Pandey – 8 min read
Tips and Tricks, especially in the programming world, can be very useful. Sometimes a little hack can be both time and life-saving.
Introduction to Neural Networks
By Matthew Stewart, PhD Researcher – 16 min read
A detailed overview of neural networks with a wealth of examples and simple imagery.
How to Work With Stakeholders as a Data Scientist
By Sam Barrows – 8 min read
What I Would Have Told Myself When I Started
Top 10 Statistics Mistakes Made by Data Scientists
By Norm Niemer – 7 min read
A data scientist is a "person who is better at statistics than any software engineer and better at software engineering than any statistician".
Why are p-values like needles? It’s dangerous to share them!
By Cassie Kozyrkov – 8 min read
There’s a war on p-values… and both sides are wrong
An End to End Introduction to GANs
By Rahul Agarwal – 11 min read
I bet most of us have seen a lot of AI-generated people faces in recent times, be it in papers or blogs.
The Non-Technical AI Guide
By Niklas Donges – 13 min read
According to McKinsey, AI will create an estimated $13 trillion of GDP growth between now and 2030.
Text Classification in Python
By Miguel Fernández Zafra – 17 min read
This article is the first of a series in which I will cover the whole process of developing a machine learning project.
