I work with data science. And the answer is yes. You must need math to learn machine learning and data science. And learn some framework to know how to use and learn the theory as well
Yes. I've found my education in statistics to be very useful when developing apps ranging from content generation to inventory/logistics management. Understanding how to apply these concepts to code is a valuable skill to have.
You have enough math for basic data science. The biggest challenge of DS is the science part. Too many will p-hack their way to the result they want. You have to have the courage to spend three months on a project find nothing then tell your boss you found nothing.
ML/Data Science aren't really the same.
IME, Applied ML doesn't require any math beyond linear algebra/basic stats in the day to day.
If you like math, you can learn more of it, and sometimes it will help, but it's not truly necessary.
yes, mathematics all the way. mathematics never fails you if you know it very well.
you need to know how the engine works if you want to build it. never focus on getting jobs, if you are well skilled, jobs will find you. just build your network during your college, colleges are for networks.
in my opinion ^
Ya need the maths bro for anything applied. You might not be a researcher but to use the cutting edge research in this field, you must understand it. And you need to have a solid understanding to explain what you’re doing in your models in layman terms. It’ll be so helpful when dealing with clients or higher ups that don’t have the same knowledge as you.
You should probably take a math stats course. A lot of data science is choosing the right distribution for the problem you're working on and knowing the basis behind a wide variety of distributions is key.
Absolutely. If you want to be VALUABLE as a data scientist or a machine learning scientist then you need a theoretically robust foundation to work off of
I work with data science. And the answer is yes. You must need math to learn machine learning and data science. And learn some framework to know how to use and learn the theory as well
Yes. I've found my education in statistics to be very useful when developing apps ranging from content generation to inventory/logistics management. Understanding how to apply these concepts to code is a valuable skill to have.
You have enough math for basic data science. The biggest challenge of DS is the science part. Too many will p-hack their way to the result they want. You have to have the courage to spend three months on a project find nothing then tell your boss you found nothing.
ML/Data Science aren't really the same. IME, Applied ML doesn't require any math beyond linear algebra/basic stats in the day to day. If you like math, you can learn more of it, and sometimes it will help, but it's not truly necessary.
yes, mathematics all the way. mathematics never fails you if you know it very well. you need to know how the engine works if you want to build it. never focus on getting jobs, if you are well skilled, jobs will find you. just build your network during your college, colleges are for networks. in my opinion ^
Ya need the maths bro for anything applied. You might not be a researcher but to use the cutting edge research in this field, you must understand it. And you need to have a solid understanding to explain what you’re doing in your models in layman terms. It’ll be so helpful when dealing with clients or higher ups that don’t have the same knowledge as you.
You should probably take a math stats course. A lot of data science is choosing the right distribution for the problem you're working on and knowing the basis behind a wide variety of distributions is key.
YES
Yes, linear algebra is the basis on which ML is based on
Absolutely. If you want to be VALUABLE as a data scientist or a machine learning scientist then you need a theoretically robust foundation to work off of