Category: Reading and Sharing
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Do I have to master statistics before I enter machine learning?
Yes and No. Statistics is usually agreed to be a prerequisite for a deeper understanding of machine learning. On the other hand, statistics is a too large field with many esoteric theories and findings to digest. We only have to focus on just the “essential” or relevant parts. I found two resources useful for the […]
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10 Most popular machine learning methods in bioinformatics
link.medium.com/kejLbOaQDob It’s really worth it spending 15 minutes on the blog. These methods are also the most popular ones in bioinformatics.
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Data science = Machine Learning?
I read a blog on the topic and I agree with the author’s point “Machine learning is just a small part of the many different aspects of data science.” https://towardsdatascience.com/when-did-data-science-become-synonymous-with-machine-learning-2d7d9f93f4ca
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Two types of learning approaches for data science and machine learning
There are two main methods in mastering new knowledge: Bottom-up and Top-down learning. What’s Bottom-up learning According to Encyclopedia of the Sciences of Learning, Bottom-up learning refers to learning implicit knowledge first and then learning explicit knowledge on that basis (i.e., through “extracting” implicit knowledge). Most of our schools are built around the bottom-up natural […]
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Share a great review paper on machine learning concepts for biologists
As a biologist, we avoidably use data science and machine learning technologies. The question is where should we start? Here’s a very good review paper on the topic: https://www.nature.com/articles/s41580-021-00407-0