Get into ML / DS
What is the best way to get into the machine learning industry from a background in business development and sales. I have been doing some online courses, intro to ML from udacity. My goal would be to transfer to one FAANG. Tips?
You need a PhD to be taken seriously. Apply for PhD program in stats, cs, or a STEM but with focus on cutting-edge quantitative methods
Not true, a lot of masters are there too
I have a PhD. Does that mean taking ML courses should set me up for a ML job in FANG?
Leetcode
Just start doing ML at your job and eventually ask for a title change. Then go interview later with DS already on resume. It'll be weaker than with grad school, but you can always decide to do that later if you want For school, do an MS in something mathy, or a PhD in something sciency or mathy. PhD in ML is ideal, MS in ML is middle ground, MS in analytics will get you by. Ideally find a program that has good industry connections that will let you work on real life data. But good grief don't go into a PhD for the sake of career growth....
This is very hard to do. I'm on a team that works with ML, but we only serve up inference results, the engineers don't actually make the models. You'd need to be an applied scientist to do that work, and they tend to have PhDs.
Georgia tech has CS Masters with ML specialization. You can try that. Coursera has a bunch good courses as well.
Trust me not that easy. It can easily take about a year or two of intense studying to learn the stuff very well. You are not done there. To get to fang as an ml engineer, u need to study leetcode, systems design and ml theory/systems. It's a lot of work. And if you don't gain the experience naturally at work, studying and internalizing the concepts alone can take 2-3 years.
good luck