Hello World,
Learning is important for
everyone, you can find
thousands of resources online.
It is important to
know the data source of the information, and to be a reference for all and easy to identify.
For example,
MIT has more than 2400 online resources for Students/Professors or Scientists distributed at different levels depending on your expertise.
I hope it will help you, good luck in your learning.
Best Regards,
Jordi Gómez.
Cibersecurity, Nanotechnology, and Science with and for Society------------------------------
Jordi Gómez Campos
Cibersecurity, Nanotechnology, and Science with and for Society
------------------------------
Original Message:
Sent: 03-15-2019 01:39 PM
From: Tomasz Sadowski
Subject: Maths in Data Science
Good afternoon everyone!
I am approaching my next task at the university (Mathematics) and I would really appreciate your help.
I am considering branches/areas of maths that are being most commonly used by data scientists. I am not data scientist myself (yet?) but I am aware that there are many different opinions either proper mathematical background is considered necessary at all. Pardon my rather crude selection when it comes to mathematical areas, but that is the 'set' of skills that is being mentioned most often. Options are, as follows:
- FUNCTIONS, VARIABLES, EQUATIONS AND GRAPHS
- STATISTICS
- LINEAR ALGEBRA
- CALCULUS
- DISCREET MATH
- OPTIMISATION AND OPERATIONS/OPERATIONAL RESEARCH
- TRIGONOMETRY
If you've got spare second – I would really appreciate your help. Of course, any comments are more than welcome. What do you, personally find either most useful or fundamental?
Thanks in advance!
------------------------------
Tomasz Sadowski
------------------------------
#GlobalAIandDataScience
#GlobalDataScience