Most Retweeted, Most Favorited, Most Viewed:Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch https://t.co/zDlOXIIPeA https://t.co/CpT7kMseM4 Most...
Can we trust AutoML to go on full autopilot?
By Norman Niemer, Chief Data Scientist. The Promise of AutoML Data scientists are in short supply, and Automatic Machine Learning (AutoML) promises to alleviate this problem. H2O Driverless AI employ...
Getting started with Tensorflow, Keras in Python and R
The Pale Blue Dot “From this distant vantage point, the Earth might not seem of any particular interest. But for us, it’s different. Consider again that dot. That’s here, that’s home, that’s us. On it...
Five Command Line Tools for Data Science
One of the most frustrating aspects of data science can be the constant switching between different tools whilst working. You can be editing some code in a Jupyter Notebook, having to install a new to...
Ten more random useful things in R you may not know about
By Keith McNulty, McKinsey & Company I was surprised by the positive reaction to my article a couple of months agowhich itemized ten random things in R that people might not know about. I had a fe...
mlr3-0.1.0
The mlr-org team is very proud to present the initial release of the mlr3 machine-learning framework for R. mlr3 comes with a clean object-oriented-design using the R6 class system.With this, it overc...
Validating Type I and II Errors in A/B Tests in R
In this post, we seek to develop an intuitive sense of what type I (false-positive) and type II (false-negative) errors represent when comparing metrics in A/B tests, in order to gain an appreciation ...
Modeling Motivation and Emotion using Feedback Loops
If you’re anything like me, you probably set a lot of goals. Whether it’s to finish a paper by the end of the summer or to spend more time with friends and family, goals are what help motivate us to d...
Network model trees
The effect of covariates on correlations in psychometric networks is assessed with either model-based recursive partitioning (MOB) or conditional inference trees (CTree). Citation Jones PJ, Mair P, Si...
How to Implement Pix2Pix GAN Models From Scratch With Keras
The Pix2Pix GAN is a generator model for performing image-to-image translation trained on paired examples. For example, the model can be used to translate images of daytime to nighttime, or from sketc...
