Digests » 21
this week's favorite
You should look at your data. Graphs and charts let you explore and learn about the structure of the information you collect. Good data visualizations also make it easier to communicate your ideas and findings to other people. Beyond that, producing effective plots from your own data is the best way to develop a good eye for reading and understanding graphs—good and bad—made by others, whether presented in research articles, business slide decks, public policy advocacy, or media reports. This book teaches you how to do it.
Today, we are excited to release the first public version of Holodeck—a high-fidelity simulator built on top of Unreal Engine 4 (UE4). Holodeck is a python package which enables you to download pre-built worlds, and interact with them through a simple, high-level interface.
Suppose you are talking with three patients in the waiting room of a doctor’s office. All three of them have just completed a medical test which, after some processing, yields one of two possible results: the disease is either present or absent. Let’s assume we are dealing with curious and data-oriented individuals. They’ve researched the probabilities for their specific risk profiles in advance and are now eager to find out the result.
I wanted to collect the Youtube channels that have videos about the topics related to Deep Learning and Computer Vision in such a list in order to make them more accessible. Some of the videos cover the basics and some of them give more technical details. I will add more channels to this blog post when I discover new ones with high quality videos.
As part of my personal journey to gain a better understanding of Deep Learning, I’ve decided to build a Neural Network from scratch without a deep learning library like TensorFlow. I believe that understanding the inner workings of a Neural Network is important to any aspiring Data Scientist.