GDPR
By now, you have probably heard of GDPR, the EU's new data privacy law. It's the reason you've been getting so many emails about everyone's updated privacy policy. In this episode, we talk about some...
11 Jun 201818min
Git for Data Scientists
If you're a data scientist, chances are good that you've heard of git, which is a system for version controlling code. Chances are also good that you're not quite as up on git as you want to be--git h...
3 Jun 201822min
Analytics Maturity
Data science and analytics are hot topics in business these days, but for a lot of folks looking to bring data into their organization, it can be hard to know where to start and what it looks like whe...
20 Mai 201819min
SHAP: Shapley Values in Machine Learning
Shapley values in machine learning are an interesting and useful enough innovation that we figured hey, why not do a two-parter? Our last episode focused on explaining what Shapley values are: they de...
13 Mai 201819min
Game Theory for Model Interpretability: Shapley Values
As machine learning models get into the hands of more and more users, there's an increasing expectation that black box isn't good enough: users want to understand why the model made a given prediction...
7 Mai 201827min
AutoML
If you were a machine learning researcher or data scientist ten years ago, you might have spent a lot of time implementing individual algorithms like decision trees and neural networks by hand. If you...
30 Apr 201815min
CPUs, GPUs, TPUs: Hardware for Deep Learning
A huge part of the ascent of deep learning in the last few years is related to advances in computer hardware that makes it possible to do the computational heavy lifting required to build models with ...
23 Apr 201812min
A Technical Introduction to Capsule Networks
Last episode we talked conceptually about capsule networks, the latest and greatest computer vision innovation to come out of Geoff Hinton's lab. This week we're getting a little more into the technic...
16 Apr 201831min
