Fantastic-East9797 t1_ixomrhm wrote on November 25, 2022 at 1:59 AM

Hi All,

I hope everyone is having a great holiday.

I am an undergrad student with one year left until graduation; I know a few languages and don't have any experience in the front end or back end. I know python and took a beginner ML course.

I want to get into ML/AI, but I don't know the right path to learn. I don't know what field I want to be in.

I am using Codecademy to learn ML now. Is this a good resource? Are there better resources?

What can I do in the one year I have left to break into the field of ML/ AI?

Do I need to learn full-stack to be an ML AI engineer?

Are ML/AI engineers considered data scientists? are they SWE?

Thanks

zombie_ie_ie t1_ixpbnmg wrote on November 25, 2022 at 6:03 AM

Get your fundamentals (including the math) strong. You can use various sources like YouTube, Codeacademy, Udemy, Coursera etc. I'd really recommend Andrew NG.
Do Kaggle competitions and try to get in the top 100. The higher the better.
Make some cool and interesting projects and post them to your GitHub. Try solving some real-world problems.
Apply for internships. But if you're looking to become a professional data scientist then SQL along with cloud and/or big data is also essential.

>Do I need to learn full-stack to be an ML AI engineer?

>Are ML/AI engineers considered data scientists? are they SWE?

Certainly not SWE. ML/AI/Data Science involve more or less the same things and skills. Many companies use the terms interchangeably but they don't mean exactly the same thing.