How Good are the Visualization Capabilities of Microsoft Power BI?
The number of visuals in Power BI is vast, and the aim of this article is to provide an overview of the Microsoft Power BI data visualization potential to create most of the visuals. This article is an excerpt from the book Microsoft Power BI Quick Start Guide, Second Edition by Devin Knight, Mitchell Pearson, Bradley Schacht, and Erin Ostrowsky – A book that provides an... Read more
Using a Human-in-the-Loop to Overcome the Cold Start Problem in Menu Item Tagging
Originally posted here at Doordash, reposted with permission. Companies with large digital catalogs often have lots of free-text data about their items, but very few actual labels, making it difficult to analyze the data and develop new features. Building a system that can support machine learning... Read more
Understanding the Mechanism and Types of Recurrent Neural Networks
There are numerous machine learning problems in life that depend on time. For example, in financial fraud detection, we can’t just look at the present transaction; we should also consider previous transactions so that we can model based on their discrepancy. Using machine learning to solve such problems is called sequence learning, or sequence... Read more
To be an outstanding data scientist or ML engineer, it doesn’t suffice to only know how to use ML algorithms via the abstract interfaces that the most popular libraries (e.g., scikit-learn, Keras) provide. To train innovative models or deploy them efficiently in production, an in-depth appreciation... Read more
NVIDIA Makes Training GANs Easier with Fewer Images
NVIDIA is closing out 2020 on a strong note with a new method for training GANs that requires significantly less data than current methods. Instead of using hundreds of thousands of images to train efficient GANs with high rates of accuracy, their new technique, adaptive discriminator... Read more
COVID Tracking Project Enhancements to Johns Hopkins Case/Fatality Data
Like many analytics geeks, I’ve been tracking data on the Covid pandemic since early spring. My main source is the Center for Systems Science and Engineering at Johns Hopkins University, with files for download made available at midnight Central time. I’ve established a pretty significant R infrastructure in... Read more
Supply Path Optimization in Video Advertising Landscape
With people moving away from traditional TV and the fact that almost two-thirds of households have a Smart TV, e-Marketers predict that over 80% of online ads will be video in the next couple of years. It’s a smart move by advertisers to slowly shift advertising... Read more
Play Like the Pros? Solving the Game of Darts as a Dynamic Zero-Sum Game
In recent years, the game of darts has experienced a surge in popularity and now has a substantial following in many countries including the U.K., Ireland, Germany, the Netherlands, and Australia among others. Indeed, a recent headline in The Economist (2020) proclaims “How darts flew from pastime... Read more
An Overview of Building End-To-End Big Data Reporting & Analytics Systems
In the 21st century, it’s not a hidden secret that Big Data is driving business and leading to growth and development across different industries such as e-commerce, health, finance, etc., in an unprecedented way. We all have heard the catchphrase “Data is Gold,” to not to leave... Read more
To Learn SQL or Not is the Question
It is generally a major debate amongst many data analysts and data scientists if they should learn SQL to be able to do their job, especially when you have great packages and libraries to ingest data in R/Python directly. In today’s day and age with the... Read more