Category: Learning

A Taylor approximation approach to learning

Since I’ve recently graduated from university this past June, I’ve been doing a lot of thinking regarding my learning — both in and out of the classroom setting. I’ve done a lot of writing about learning, ranging from best practices for learning different subjects, utilizing the interdisciplinary nature of knowledge to enjoy learning more, and much more. One thing related to learning that I have not adequately touched upon is my perspectives on “institutional” learning.

Simply put, there’s a large amount of undue complexity presented upon the initial introduction of many topics, sacrificing understanding in favor of rigor; this is something that academic pedagogy is especially guilty of. This learning methodology is the fastest way to destroy any interest or passion towards a topic, whereby you first by cover all definitions in painstaking detail, then proceed to some etymological or historical exposition about the topic, then if you’re lucky, finally end with some convoluted tangential examples (call this School A). In contrast, I find that there is tremendous value for students, where concepts and topics are introduced from a high-level and paired with a variety of analogies to aid in understanding (call this School B).

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Implementing OCR with machine learning

The final project of my optimization class this semester (ORF 307) was to write an OCR (optical character recognition) program, an assignment formulated by Professor Robert Vanderbei. Naturally, this assignment was quite intimidating, but my partner and I eventually figured out how to approach the problem. The end result was quite possibly one of the coolest projects that I’ve ever played a part in building, and I’m very proud of it.

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Supercharge your learning with the Wikipedia Game

Have you ever wondered how some people just seem to soak up information? The secret is that they have accumulated a critical mass of knowledge, which allows them to create enough anchor points (more on anchor points here) to seamlessly integrate the new information into their existing knowledge framework. That’s it. The tough part is developing that initial mass of knowledge.

I’ve gone on and on about how all knowledge is connected. Too often, subjects in schools are taught as if they were isolated, self-contained bodies of knowledge. That is so very false. And there is nothing better to prove this phenomenon than the Wikipedia Game.

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