Digests » 12

ai

The Artificial Intelligence Revolution: Part 1

The reason this post took three weeks to finish is that as I dug into research on Artificial Intelligence, I could not believe what I was reading. It hit me pretty quickly that what’s happening in the world of AI is not just an important topic, but by far THE most important topic for our future.

Pokemon Generation One

There are 50-60 images per pokemon, and the dataset covers all the 151 Generation One Pokemon.

Introducing the Facebook Field Guide to Machine Learning video series

The Facebook Field Guide to Machine Learning is a six-part video series developed by the Facebook ads machine learning team. The series shares best real-world practices and provides practical tips about how to apply machine-learning capabilities to real-world problems.

Write less terrible code with Jupyter Notebook

Jupyter Notebook (or Lab) is great for prototyping but not really suited for writing good code. I love Notebooks for trying out new things, plotting, documenting my research, and as an educational tool. However, they don't help you like an IDE with, for instance, code linting and refactoring. Notebooks written by data scientist are notorious for being unreadable, unreproducible and full of bugs.

The 5 Clustering Algorithms Data Scientists Need to Know

Clustering is a Machine Learning technique that involves the grouping of data points. Given a set of data points, we can use a clustering algorithm to classify each data point into a specific group. In theory, data points that are in the same group should have similar properties and/or features, while data points in different groups should have highly dissimilar properties and/or features. Clustering is a method of unsupervised learning and is a common technique for statistical data analysis used in many fields.