Towards Data Science
A Medium publication sharing concepts, ideas, and codes.
Ludovic Benistant
Editor at Towards Data Science
Amber Teng
A writer, learner, and explorer, Angela Teng spends most of her time thinking about how interdisciplinary collaboration can galvanize innovations in technology.
Anne Bonner
Secretly believes everyone should get involved with tech. Wants to help with that. Let’s connect on LinkedIn! https://www.linkedin.com/in/contentsimplicity/
TDS Team
Sharing concepts, ideas, and codes. Learn more about us here: http://bit.ly/2HYahYe
Yenson Lau
ML Scientist at Layer 6 AI | Editor at Towards Data Science
Elliot Gunn
Data science publishing @ Towards Data Science. Previously @ C4ADS (data science intern), Global Strategy Lab (research fellow). Background in economics & ML.
Latest Posts
Introduction to Linear Algebra with NumPy
Basic concepts and operations with examples
Beginner’s Crash Course to Deep Learning and CNNs
An animated explanation with no complicated maths.
The Best Way to Generate Indices in BigQuery
Using GENERATE_ARRAY for Histograms and More
NumPy Crash Course: Array Basics
A data structure at the heart of nearly all data science tools.
Using Hourglass Networks To Understand Human Poses
A simple and digestible deep dive into the theory behind Hourglass Networks for human pose estimation
Thoughts on COVID-19 through data and deals
Examining through a tech-first lens, how coronavirus changed global consumer behaviour and product innovation forever.
Beyond Pandas: Spark, Dask, Vaex and other big data technologies battling head to head
API and performance comparison on a billion-rows dataset. What should you use?
Working with 3D data — fastai2
Understanding fastai DataBlock and creating the building blocks to work with sequences of images for deep learning applications
5 Pro-Tips For Data Scientists To Write Good Code
The following advice is built from my experience moving from academia to working as a data scientist on a variety of projects across…
Machine Learning Algorithms. Here’s the End-to-End.
An end-to-end run-through of common algorithms; including random forest, multinomial Naive Bayes, logistic regression, kNN, and SVMs from…
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