Google ML specializes vs fast.ai ?

New / Eng FAANG_
Jun 17 15 Comments

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.

31 VOTES SELECT ONLY ONE ANSWER
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TOP 15 Comments
  • Work on your English
    Jun 17 3
    • New / Eng FAANG_
      OP
      Thanks , Iam trying to work on it.
      Jun 17
    • Np! Sorry if I sounded rude :)
      Jun 17
    • New / Eng FAANG_
      OP
      NP , Iam trying hard to work on it. I will take time because Iam international and just moved into USA. Thanks for advice.
      Jun 17
  • You have long way to go in finding jobs in ML but plenty of ways to do projects
    Jun 17 2
    • New / Eng FAANG_
      OP
      What is the shortest way to do projects? Iam unemployed now.
      Jun 17
    • Udacity, Kaggle, your own projects. Find a job in your area and the upgrade skills in ML
      Jun 17
  • Apple / Eng ๐Ÿ’codemonk
    Did you mean *specialization in your writing and poll?
    Jun 17 2
    • New / Eng FAANG_
      OP
      Yes specializations
      Jun 17
    • Apple / Eng ๐Ÿ’codemonk
      I believe Google ML Specializations on Coursera are about ML on GCP, worth looking at but not the most helpful.
      Jun 17
  • What course you did? Coursera?
    Jun 17 1
    • New / Eng FAANG_
      OP
      Yes , Andrew course on coursera
      Jun 17
  • Axtria DesiLaunda
    I wonder out of the people who voted, how may actually have knowledge about both the options
    Jun 18 0
  • New / Eng FAANG_
    OP
    Software engineer
    Jun 17 0
  • Axtria DesiLaunda
    What's your background?
    Jun 17 0