Thank you very much for your constructive feedback. At this point there is no planned end date for my live coding sessions, and I expect many more sessions, as the data scientist's progression
- data sourcing / handling / filtering / aggregation
- application (optimization, statistics, AI / NN / ML / DL, ...)
- pure math <--> applied math
is a sheer endless paradise for the serious analyst / data scientist who can harness the appropriate tools to make inroads. And there is no other software system that is as highly integrated as the M system, so here is the place where I will demo the applicability of the M system to tackle real-world problems with concise and intuitive code.
After a few more sessions I'll prioritize the content based on audience feedback. There are many topics relevant for the professional data scientist, so that I have to start balancing general appeal with audience requests:
parallelism in computation, compilation for speed-up, combining the two: CUDA, databases, AI, crypto, dynamic interactivity, JLink, units framework, persistence, web, cloud, ... -- I won't run out of content soon. And after a while I think it will get more math-y: advanced regression, calculus of variations, control theory, region-based computing, differential geometry, ODEs, PDEs, ... all of which should be part of the professional data scientist's arsenal -- at least their very basics, and we can't get too detailed, to keep it sufficiently general to be of interest to everyone.
