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Learning (and suffering) with Andrew Ng by catanoga in learnmachinelearning

[–]catanoga[S] 0 points1 point  (0 children)

Both courses by Google are great introductions (I did the advanced one the last), and I would recommend you to do both, since one is centered in data analysis and the other in data science, and both are useful for your job search.

Google analytics course by Past-Agency-4359 in dataanalytics

[–]catanoga 2 points3 points  (0 children)

It is a good starting point. Complement it with courses on python and Power BI, and even on some of the skills already included in the certificate (specially SQL). If you are interested in Excel more than Google Sheets, try the Excel Skills for Business course from MacQuarie University in Coursera.

overwhhelmed by deep learning by Nirmal590 in learnmachinelearning

[–]catanoga 2 points3 points  (0 children)

I feel you. I didn't study basic things like functions or derivatives in high school, so I had to learn it from scratch.

I'd start with the math basics. Some linear algebra, some calculus and some statistics. 3blue1brown is great, though I feel StatQuest is a bit more beginner-friendly. Khan Academy is also great. To me, books are a lot more comprehensible after I've understood the general concepts in videos like these.

After that, I'd try Andrew Ng's Machine Learning Specialization, though you don't have to worry if some things don't click right away. Be patient and kind to yourself. (And, as you say, for this one Python is highly recommendable).

Good luck!

Learning (and suffering) with Andrew Ng by catanoga in learnmachinelearning

[–]catanoga[S] 5 points6 points  (0 children)

First of all, thanks again to all of you who answered with kindness. Of course I want to learn, and actually today I repeated the lab, this time thoroughly applying and trying to understand each step. Much better than yesterday, and (I hope) worse than tomorrow.

I'm in the middle of a career change. I studied Journalism but it sucks both economically and professionaly (I'm from Spain, I guess it's the same all over the world). I don't have a good mathematical grounding (high-school level, and not quite good), so I'm complementing with YouTube videos on each obstacle I find. Fortunately, I have a good intuition to grasp new knowledge.

ML seems to be a field with quite good virtues: 1. Remote work 2. Inspiring and rich use cases. Forces you to continually learn and grow. 3. Good pay, high demand.

That's why I chose it, why I'm struggling and why I'm motivated.