Learn Python, R and MATLAB for free as a Graduate student/Post-doc
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Hello,
Every Saturday, I spent my time on bed longer than usual. I wake at my usual 5 am, but I read mostly about the future: Cryptocurrency, Machine learning, Web3, and recently software for Graduate students and AI.
It is no news that the pace of development in the field of Artificial intelligence is more rapid in 2 years especially the open source AI and even better when compared to the Internet growth via World Wide Web in 10 years. It is so fast such that insinuations from Silicon Valley shows a 6 months rest period for development of new open source building blocks to give room for strategy to design frameworks for regulation of pace of growth of the sector.
What is news is that so many will be left behind even when it is crystal clear that there is a disruption. Someone even claim they are indispensable and their jobs cannot be done by AI. I am not here to convince you to let go of your trust in your ability. I’m here to ask that you at least learn to basically understand what the machine is saying, side by side with your test tubes.
I must say that as a researcher, it looks like one must have the future in mind while working in your current task. I had a conversation with someone yesterday it keeps occurring to me that every graduate student MUST learn at least the basics of Artificial Intelligence, at least the programming languages, hence the thought of Python, R and MATLAB came to mind.
I went deeper to find ways to learn or access them free for graduate students or researchers about to get to graduate school, and the following links comes up.
PYTHON
http://scipy-lectures.org/index.html
MATLAB
R
https://www.udemy.com/course/r-basics/
However, there are few interesting insights I picked from several handles on why to chose one language over another:
https://www.linkedin.com/pulse/r-vs-python-matlab-octave-julia-who-winner-siva-prasad-katru
And this:
This is where my writing ends today, I love short-form content only.
If you want free versions of Courses and tools as graduate students and research scientists or irrespective of the field, STEM or otherwise, leave them as comments here or chat on substack notes.