I met up with some of my old team from BNP Paribas last week. I found it striking that everyone who was there is now working directly with Machine Learning. It was quite inspiring!
For the last few years I’ve been building Trading Execution Algorithms for Westpac. Time to do something different!
I decided to enroll in Coursera’s Deep Learning Specialization. I’ve just finished the first week, and I am really enjoying it. Andrew Ng is a fantastic teacher. I did his previous course on Machine Learning and loved it.
I read a really interesting post on Reddit explaining Markov Chain Monte Carlo, which drew the analogy between MCMC and a long game of Frogger.
Continue reading “Markov Chain Monte Carlo as Frogger”
I’ve been studying for another Maths exam. This time it’s the Open University M343 “Applications of Probability” course. It’s exam time so I’ve been making flash-cards to study with.
Continue reading “Creating Flashcards”
OK, here is an idea I had this morning: It’s called “Mnemonic Tagging”. The idea is that you create a list of keywords (or tags) that you use to mentally file mnemonic visualizations. For each of these tags you imagine something that represents the tag, followed by a chain of mnemonics that relate to that tag.
Continue reading “Mnemonic Tagging”
I have been studying maths for quite a few years now, but I still find it a struggle to remember various formulas/equations, especially when starting a new topic. I’ve been thinking about developing my own mnemonic system for math symbols to help me memorize equations easily.
I would need to relate various mathematical operators to something else that is easy to visualize. The bracketing of expressions is problematic, you would need to have a way of visualizing a collection of things that the operator acts on.
I think that having a mnemonic system for maths would help internalize the ideas and models within a domain. It’s obviously still a work in progress!