What technology stack to study for Machine Learning and Data Science?

Question

Career in IT

I know that Python and R are a must and about SQL for Data Science. What else would be useful to study in order to be competitive in the labor market? Maybe JS or Hadoop for example?

Answer 1

Machine Learning is just one of the branches of Data Science, and not the biggest one. Here I tried to collect the maximum number of sections and technologies for your request in order to understand the whole picture:
https://www.facebook.com/photo?fbid=24594864019204...

Answer 2

To begin with, you will study what you wrote, and then you yourself will understand what technologies are needed. Some Scala, Linux, Elasticsearch (and other NoSQL things), the whole Apache stack (Spark, Hive, Pig), Tableau, Git, and of course Calculus, Linear Algebra, Mathematical Statistics, Probability Theory, Discrete mathematics, Optimization methods.
In general, Data Science is more likely not about technology, but about the scope, so if you can write good and beautiful code in Python, but you cannot complete a business task with it, then no technology will help you.

Answer 3

Matlab videos
https://www.youtube.com/playlist?list=PLmu_y3-DV2_...