#328 on RedditRising
Discrete Mathematics Specialization
Coursera
5 recommenders · 5 threads · recommended in 3 years, 2018–2023 · score 4.5
A Coursera specialization from UC San Diego covering discrete mathematics fundamentals used in computer science, such as logic, sets, proofs, combinatorics and graphs. Commenters present it as the starting math course before programming, data structures and machine learning.
Commenters call it the place to start for the math underlying computer science, and say it can be audited for free.
Mathematicsbeginnerfreemiuminteractive MOOC#discrete mathematics#logic#proofs#combinatorics#graph theory#ucsd
Recommendations by year
20182023
It is ***extremely helpful*** to have basic knowledge of the simple fundamentals of Discrete Mathematics before you start learning Computer Science. (As after all, CompSci is itself a branch of mathematics! That's where it's roots are) Start here…
To be good at ML you need to have a Masters Degree. I'm a software-computer engineer who has made it through most of the math for ML. I recommend that you use Coursera Plus, which is $59/mo acalculus-basednd gives you unlimited classes. You need to first learn Discrete Math. I recommend you take…
u/no_kids4us: Learning to program is a long slow process, that takes time for your mind to grasp it. I'd suggest stick with your current (new!) job. Especially as it is a new job, not a great idea to quit it so soon. Find the time to study, even if it is just merely two hours each Wednesday…
My plan is to knock out the Coursera specialization on Discrete Math by UCSD and then Data Structure and Algorithms by the same uni. I know Stanford offers an amazing Data Structure and Algo class, but it's supposed to be math heavy and less application heavy. I def plan to go through it at a…
Np. What I would recommend as a more comprehensive option is the coursera discrete mathematics specialization. You can audit the course (free) for access to the content alone. link