Neil Seoni on the Fourier Transform and the Sampling Theorem – The Central Equilibrium – Episode 1

I am very excited to publish the very first episode of my new talk show, The Central Equilibrium!  My guest is Neil Seoni, an undergraduate student in electrical and computer engineering at Rice University in Houston, Texas. He has studied data science in his spare time, most notably taking a course on machine learning by Andrew Ng on Coursera. He is finishing his summer job as a Data Science Intern at Environics Analytics in Toronto, Ontario.

Neil recommends reading Don Johnson’s course notes from Rice University and his free text book to learn more about the topics covered in his episode.

The Central Equilibrium is my new talk show about math, science, and economics. It focuses on technical topics that involve explanations with formulas, equations, graphs, and diagrams.  Stay tuned for more episodes in the coming weeks!

You can watch all of my videos on my YouTube channel!

Please view this blog post beneath the fold to watch the video on this blog.  You can also watch it directly on YouTube.

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Getting Ready for Mathematical Classes in the New Semester – Guest-Blogging on SFU’s Career Services Informer

The following blog post was slightly condensed for editorial brevity and then published on the Career Services Informer, the official blog of the Career Services Centre at my undergraduate alma mater, Simon Fraser University

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As a new Fall semester begins, many students start courses such as math, physics, computing science, engineering and statistics.  These can be tough classes with a rapid progression in workload and difficulty, but steady preparation can mount a strong defense to the inevitable pressure and stress.  Here are some tips to help you to get ready for those classes.

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