Food for Regression: Mixing in Cross-Elasticities and Promotional Effects
Last time we dove deep into the world of a little salad bar just a few steps away from the STATWORX office. This time we are going to dig even...continue reading.
Last time we dove deep into the world of a little salad bar just a few steps away from the STATWORX office. This time we are going to dig even...continue reading.
I am so grateful to Mandy Gu for being a guest on The Central Equilibrium to talk about word embeddings and text classification. She began by showing how data from...continue reading.
In a recent blog post our CEO Sebastian Heinz wrote about Google’s newest stroke of genius – AutoML Vision. A cloud service “that is able to build deep learning models...continue reading.
???? Before we introduce this seriously cool visualization, we’d like to announce that plotly.py has surpassed 5 million downloads! Thank you for helping us reach this milestone! ???? Once Upon...continue reading.
? Before we introduce this seriously cool visualization, we’d like to announce that plotly.py has surpassed 5 million downloads! Thank you for helping us reach this milestone! ? Once Upon...continue reading.
Introduction Teaching machines to handle image data is probably one of the most exciting tasks in our daily routine at STATWORX. Computer vision in general is a path to many...continue reading.
In US politics news, the New York Times took the unusual step this week of publishing an anonymous op-ed from a current member of the White House (assumed to be...continue reading.
In the last post of this series of the STATWORX Blog, we explored ggplot2’s themes, which control the display of all non-data components of a plot. Ggplot comes with several...continue reading.
Daten-Visualisierung und -Verständnis sind wichtige Faktoren bei der Durchführung eines Data Science Projekts. Eine visuelle Exploration der Daten unterstützt den Data Scientist beim Verständnis der Daten und liefert häufig wichtige...continue reading.
Nothing is more frustrating than a long piece of code with no standard way of naming elements, presenting code or organizing files. It’s not only unreadable but more importantly not...continue reading.
Today we’re releasing Datazar’s desktop application for Mac. This is the debut for the desktop app and we’re thrilled to finally get it in the hands of everyone. The program...continue reading.
Author: Richard Cotton Publisher: O’Reilly Media Release Date: September 2013 Pages: 400 Available at: Amazon, O’Reilly Safari This book provides a good foundation for data analysis using the R language and software environment. You...continue reading.
R and Python scripts you upload or create on Datazar are now executable.R files with an .r or .rscript and Python files with .pyextensions will be active for running. You can now analyze...continue reading.
Everybody talks about them, many people know how to use them, few people understand them: Long Short-Term Memory Neural Networks (LSTM). At STATWORX, with the beginning of the hype around...continue reading.
Google AutoML Vision is a state-of-the-art cloud service from Google that is able to build deep learning models for image recognition completely fully automated and from scratch. In this post,...continue reading.
Today is the first day of the new academic year at the University of Utah. This semester I am teaching MATH 3070: Applied Statistics I, the fourth time I’ve taught...continue reading.
A while back, I started to create an R package that would help me and my collegues at STATWORX with our daily work. After writing the DESCRIPTION file, I did...continue reading.
Since a couple of months, I am working for STATWORX as a marketing manager (and I love it). My colleagues asked me many times, if it is possible to do...continue reading.
In unseren bisherigen Artikeln zu Data Science in Python haben wir uns mit der grundlegenden Syntax, Datenstrukturen, Arrays, der Datenvisualisierung und Manipulation/Selektion auseinander gesetzt. Was jetzt noch für den Einstieg...continue reading.
This final course caps the series off with applications. The first half of the course covers two major areas of AI: natural language processing (NLP) and computer vision (CV). In...continue reading.