Statistics

Adrienne Kline reflects on a multidisciplinary career that bridges medicine, machine learning, and engineering — In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science, their writing, and their sources of inspiration. Today, we’re thrilled to share our conversation with Adrienne Kline. Adrienne Kline is a postdoctoral fellow in the Department of Preventative Medicine at…

Definition Linear Regression is a methodology that allows us to relate two phenomena. This approach allows identifying a rule based on real data to predict new values. There are algorithms and packages that perform linear regression in a simple way, but we don’t aways understand what’s going on behind the curtains…

Filling in some gaps for both DS/ML experts and beginners! — It seems like everyone these days has a DS/ML blog on Medium, or is posting on the topic to LinkedIn. So who am I and why should you read my posts? First a little background. After decades of hardcore software engineering and engineering leadership at Silicon Valley startups, I found…

Just want to tell you and myself where did I put 2 hours of my life yesterday. I saw this picture: Wonderful! You can go year to year and every year brings some memories from the wonderful digital world.. “oh, it was that small when I did this!” …

Extract deeper insights with ROC threshold visualization — All source in this article is available on Github! Feel free to reuse graphics in any context without attribution (no rights reserved). Motivation Receiver operating characteristic (ROC) curves are invaluable for understanding the behavior of a model. There is more information packed into those curves than you typically see, though. By…

Part 1 of the article presents an end-to-end case study in Python for A/B Testing when our target metric (Y) is a User-Average Metric i.e the metric represents the average of “something crucial to the business”. This can be the average time spent by the user in a session, the…

In the article How To Create Excel Functions With Python, I talked about how you can use Python in Excel to create your own Excel functions, also known as User Defined Functions (U.D.F). Since Python and R are popular in the world of Data Science, we now have add-ins to…

Kunal Reshamwala Applied Data Institute 2022 EquiTech Futures COVID-19 is a respiratory disease caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). First detected in Wuhan, China in December 2019, it quickly spread to 212 countries, resulting in a global pandemic which has resulted in over 500 million cases and…

Performance metrics are an important part of any machine learning algorithm. Without accurate measurements, it can be difficult to determine the effectiveness of an algorithm. In this blog post, we’ll take a look at some of the most common performance metrics used in statistical machine learning. Confusion Matrix Classification Accuracy …