Google ML specializes vs fast.ai ?
I just finished Stanford ML with Andrew. I need to start create projects and learn how to use ML to solve real AI world problems( theoretical and practical). Which is the best for me I terms of building application faster, career in FAANG, build my ML applications ? Also if you can mention the time you take to build your own ML projects from scratch into production. I will take DL specialize for Andrew in both cases. Thanks in advance guys.
Did you mean *specialization in your writing and poll?
Yes specializations
I believe Google ML Specializations on Coursera are about ML on GCP, worth looking at but not the most helpful.
What course you did? Coursera?
Yes , Andrew course on coursera
You have long way to go in finding jobs in ML but plenty of ways to do projects
What is the shortest way to do projects? Iam unemployed now.
Udacity, Kaggle, your own projects. Find a job in your area and the upgrade skills in ML
What's your background?
Software engineer
I wonder out of the people who voted, how may actually have knowledge about both the options
Work on your English
Thanks , Iam trying to work on it.
Np! Sorry if I sounded rude :)