Submitted by MACKBULLERZ t3_10da1xp in deeplearning

I was introduced to data science in college courses. I was into it, so I started learning more about it in my free time. Then I took some online machine learning courses and have done a decent amount of projects. I am nowhere near having a very deep understanding of which branch but decided to learn the other branch which is deep learning. While I was researching about it, courses and materials, I came across a tensorflow certificate. Getting this certificate, will it give me some kind of upper hand in my job hunt, or rather just study some courses and do some kaggle data set challenges?

Could anyone please let me know whether to continue getting the certificate?

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Trick2206 t1_j4kkijl wrote

Imo not really, from what I've heard and seen most jobs don't really care for random certs from courses. You can just learn everything the course will teach from free resources so you can just search online for the topics you're interested in.

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myth_drannon t1_j4l048h wrote

TF is on its way out. But in general get certificates for fundamentals not for frameworks that change every couple of years. Certificates are popular in ops domain, so if you are planning on doing mlops then get something related to that.

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SometimesZero t1_j4mgn69 wrote

Can you say more about “on its way out?” Are other libraries more popular in your opinion?

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myth_drannon t1_j4mmfha wrote

TF out, Pytorch in. Google always struggled to build a long lasting ecosystems for their products. Angular was first but then Facebook came and swooped in with React, same happened with TF and pytorch

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SometimesZero t1_j4mo6ra wrote

Thanks for the info. I knew PyTorch was popular, but didn’t know about TF’s waning popularity. Good to know.

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2thleZ t1_j4ooqax wrote

I've heard a lot of people saying the same thing but could you explain why PyTorch is better than TF?

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