Richard Mathews II

May 7

A Visual Retrospective of Berkeley’s Machine Learning Class

Taking a closer look at W207 Applied Machine Learning — In my fourth semester in Berkeley’s data science master’s program, I took applied machine learning (W207). The course was updated in 2022 to focus more on neural network topologies, including the transformer architecture and attention mechanism, which translated to a slight bias toward text processing. In this blog post, I’m…

Berkeley

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Berkeley

5 min read

Jan 11

Visualizing my first year in Berkeley’s data science master’s program

W205 (Data Engineering) — To round off my first year in Berkeley’s MIDS program, I took W205, a data engineering class that teaches modern cloud computing and data engineering technologies, covering topics like data lakes, NoSQL, and docker. One of the things I appreciated about the course was the hands-on nature of the assignments…

Berkeley

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Berkeley

4 min read

Aug 13, 2022

Visualizing my second semester in Berkeley’s data science master’s program

W203 (Statistics for Data Science) — Last week, I wrapped up my second semester in Berkeley’s MIDS program. I took W203 Statistics for Data Science, and it suffices to say the class was more challenging than W200 and W201 combined, but I enjoyed it! Now it’s time to recap the semester with the same visualizations I…

Berkeley

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Berkeley

3 min read

Apr 22, 2022

Visualizing my first semester in Berkeley’s data science master’s program

W200 (Data Science Programming) and W201 (Research Design) — I just completed my first semester in Berkeley’s data science master’s program (MIDS), where I took W200 and W201. W200 — Introduction to Data Science Programming W201 — Research Design and Applications for Data and Analysis I really enjoyed my classroom experience, especially W201, and wanted to share some neat…

Berkeley

4 min read

Berkeley

4 min read