#1130 overall
Big Picture Calculus
MIT OpenCourseWare
1 recommender · 1 thread · recommended in 1 year, 2017 · score 0.7
A video lecture series from MIT OpenCourseWare that gives an overview of calculus, meant as a refresher on the main ideas.
The one commenter calls it designed precisely for refreshing calculus before moving on to other math.
Recommendations by year
20062026
Start with a refresher on calculus -- MIT's "Big Picture Calculus" video series is designed precisely for this: https://news.ycombinator.com/item?id=13634476
To develop your visual intuition, watch 3Blue1Brown's YouTube channel (he also has an "Elements of Calculus" series coming soon): https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw
Try to find the geometrical underpinning for each topic you learn. This will not only help you visualize what you're learning, but it will also help keep a red thread going as you traverse from topic to topic.
After calc, I would study Linear Algebra next since it's at the heart of numerical computing today, see: https://news.ycombinator.com/item?id=13620871 (note the comments, they also include many good pointers and references, e.g. here's a list of video's that help you visualize https://news.ycombinator.com/item?id=13623711).
The Numberphile channel is always good to keep your mind thinking in numbers: https://www.youtube.com/user/numberphile
Also, you can go through my HN stories profile -- there are a ton of math-related links and discussions in there, such as this one: https://news.ycombinator.com/item?id=13631213
Explore math topics on WikiPedia, YouTube and online lectures from MIT/Stanford/Caltech/Berkeley etc.
Group theory comes up often: https://en.wikipedia.org/wiki/Group_theory
Set theory is at the root of everything: https://en.wikipedia.org/wiki/Set_(mathematics)
Pay close attention to the concept of intervals: https://en.wikipedia.org/wiki/Interval_(mathematics)
Practice reading journal articles until you can start to understand the notation (this may take a while but persevere, the continual exposure will start building fluency).
Practice implementing the concepts you're learning in Python.
Ask questions on MathOverflow http://mathoverflow.net. Quora is also good: https://www.quora.com/
Get and read SICP and do the material for the online MIT SICP course (it's the all-time classic CS course, with a math bent): https://ocw.mit.edu/courses/electrical-engineering-and-compu...
...the SICP videos are on YouTube too https://www.youtube.com/playlist?list=PLB63C06FAF154F047
Explore and have fun!