Now I want to go to computer science degree in software engineer program, I want to concentrate on machine learning and become a machine learning engineer. I believe that machine learning and deep learning will soon move into real world, they will not be only on the computer. I mean, there will soon be self-driving cars, robots, drones, and all of them will use neural networks and deep learning. My question to you: Is if I go for a degree that is purely related to software development only, can I apply machine learning to the real world in my practice, such as self-driving, robots, computer vision, etc? What do you think will happen in the future, will machine learning real world applications become more widespread than it is now?
At 3:39, what if you are a Data Scientist in the industry? Using SQL + Python programming and Power BI? Must you generally need to be some type of engineer prior to becoming a ML Engineer?
There's definitely a path from DS to ML! There's some great advice in this thread about additional tasks and responsibilities you may want to take on before making the switch. www.quora.com/As-a-data-scientist-how-can-I-transition-to-be-a-machine-learning-engineer
I am 3rd year computer science student now. I like machine learning, I plan to take some machine learning engineering certfication after I graduate. However I hear organizations require masters degree on machine learning engineer candidates. So , my question is - will it be hard for me to get a machine learning engineer job with certification but without graduate degree ?
Hey Yr Ysf! A computer science degree is a great degree to get you a machine learning job, and getting a certification will further differentiate you from the competition! Wish you all the best on your applications and if you ever need help anywhere along the application/interviewing process, check out our website www.tryexponent.com for some great resources!
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Now I want to go to computer science degree in software engineer program, I want to concentrate on machine learning and become a machine learning engineer.
I believe that machine learning and deep learning will soon move into real world, they will not be only on the computer. I mean, there will soon be self-driving cars, robots, drones, and all of them will use neural networks and deep learning.
My question to you:
Is if I go for a degree that is purely related to software development only, can I apply machine learning to the real world in my practice, such as self-driving, robots, computer vision, etc?
What do you think will happen in the future, will machine learning real world applications become more widespread than it is now?
At 3:39, what if you are a Data Scientist in the industry? Using SQL + Python programming and Power BI? Must you generally need to be some type of engineer prior to becoming a ML Engineer?
There's definitely a path from DS to ML! There's some great advice in this thread about additional tasks and responsibilities you may want to take on before making the switch. www.quora.com/As-a-data-scientist-how-can-I-transition-to-be-a-machine-learning-engineer
I am 3rd year computer science student now. I like machine learning, I plan to take some machine learning engineering certfication after I graduate. However I hear organizations require masters degree on machine learning engineer candidates. So , my question is - will it be hard for me to get a machine learning engineer job with certification but without graduate degree ?
Hey Yr Ysf! A computer science degree is a great degree to get you a machine learning job, and getting a certification will further differentiate you from the competition! Wish you all the best on your applications and if you ever need help anywhere along the application/interviewing process, check out our website www.tryexponent.com for some great resources!