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Showing posts from October, 2020

Note for: Active versus passive reading: how to read scientific papers?

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Note for: Active versus passive reading: how to read scientific papers? Doi: 10.1093/nsr/nwaa130 This article is good for most of us who basically work in an academic-related area. The questions to ask yourself: What is the research question? Why do they want to do it? If it is my work, what kind of experiment would I do to answer the question? What kind of data do I need to support the answer to this question. Comparing between theirs and our conclusion - what are the differences? The author’s lab website also provides very good materials on research planning as well as effective learning strategy in the scientific area. http://sun-lab.med.nyu.edu/ Incredible!

Collection of statistical knowledge resources

Data science is not only about coding but it is all about statistics! Below is my own collection when I don't understand some technical terms in Stat 1. https://sites.google.com/site/mystatistics01/home Explaining in Thai 2.  https://datarockie.com/author/datarockie/ Datarockie -- explaining in Thai 3.  https://www.youtube.com/channel/UC4a-Gbdw7vOaccHmFo40b9g Khan Academy explains in English with a video which helping visual-type learner 4.  https://365datascience.com/ 365datascience is also a good resource to learn the terminology as well as data relationship/predicting model by using stat 5. https://towardsdatascience.com/ On the medium platform where ppl who are the data scientists share their experience 6.  https://www.saedsayad.com/ Data science by Dr. Saed Sayad (Rutgers University) 7.  http://www.wormbook.org/.../www.../statisticalanalysis.html Wormbook -- all about c.elegans and its related biostatistics