The current challenges of AI in pharma
Recently, through my work on applying the latest AI models in drug discovery and discussions with friends using AI in the pharmaceutical space, I’ve made several observations I’d…
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Thoughts on machine learning, biology, and practical data science.
Recently, through my work on applying the latest AI models in drug discovery and discussions with friends using AI in the pharmaceutical space, I’ve made several observations I’d…
Read more →Recently, I came across a paper on enzyme activity optimization using Bayesian optimization. I was fascinated at how efficient it is in saving time and lab resources in finding the optimal s…
Read more →My last blog post was about how to solve Sudoku with Simple Data Science Tricks such as backtracking, it was smart, however, what if in a project like this we don’t have access to the…
Read more →Recently, I became interested in a logic based puzzle Sudoku. It is kind of like the crossword puzzle where one needs to fill in the missing part with certain constraints. Unlike the crosswo…
Read more →Credits to Bret Fisher, Udemy, Docker, and Google for making this cheat sheet happen. Related to Docker Images What is it? App binaries and dependencies as well as metadata about the ima…
Read more →Why Docker? To simplify, for your code to work on other machines, on clouds (e.g AWS, Google) or on data center where the system setup might be different from yours, putting the software ins…
Read more →Recently I implemented GAT with the dgl package. For me,knowing the input and output dimensions from the computation helps a lot in understanding the algorithm. Imagine we have an undirected…
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