Matthew Turk

Sep 30, 2024 | stanforddaily.com | Matthew Turk

The senior column comes with an inevitable sense of pressure. Even if hardly anyone reads what I write, it will sit on my conscience whether I managed to faithfully reflect the highs and lows of the last four years. Part of that internal tension, I suspect, comes from typical self-absorption. But there is likewise a motivation to answer my peers and mentors who urged me to write this piece, many of whom I admire and to whom I am indebted.

Apr 29, 2024 | stanforddaily.com | Matthew Turk

Students took what they could get in the 1950s at Stanford. “This was not a time in which people raised big questions about what they were being taught,” history and humanities professor emeritus James Sheehan ’58 said in an interview with The Daily.

Apr 26, 2024 | stanforddaily.com | Matthew Turk |Mark Allen Cu

To all of our ProFros,The Daily welcomes you to Leland Stanford Junior University, one of the world’s most selective higher education institutions. Whether you’ve lived near campus your entire life or will be arriving in the United States for the first time, you are about to embark on a completely new chapter of your life. This institution will become your second home as you spend the next few years growing into your identity and expanding your intellectual horizons.

Feb 22, 2024 | medium.com | Matthew Turk

Featurizing time series data into a standard tabular format for classical ML models and improving accuracy using AutoMLThis article delves into enhancing the process of forecasting daily energy consumption levels by transforming a time series dataset into a tabular format using open-source libraries. We explore the application of a popular multiclass classification model and leverage AutoML with Cleanlab Studio to significantly boost our out-of-sample accuracy.

Feb 22, 2024 | towardsdatascience.com | Matthew Turk

Featurizing time series data into a standard tabular format for classical ML models and improving accuracy using AutoMLThis article delves into enhancing the process of forecasting daily energy consumption levels by transforming a time series dataset into a tabular format using open-source libraries. We explore the application of a popular multiclass classification model and leverage AutoML with Cleanlab Studio to significantly boost our out-of-sample accuracy.