Data Science / Machine Learning.

Question

Sup. I've been programming for about 5 years now, I'd say (Humbly) that I am pretty good at HTML, CSS, JS and python. I have decided that most likely I will be looking for a job (After uni) related to programming because this interests me the most. I was thinking of doing data science or machine learning. I was just wondering what is it like to work a proper 5 days a week programming job. Also is there any requirement like projects during an interview. Where can I get practice for machine learning and/or data science. But I am also doing physics, chemistry and maths for A-Levels (Basically engineering) and was wondering how programming could link it with this? Thanks for your time.

Answer 1

PureLogicality in any technical interviews the recruiter first question towards you is what project you have made in the preferred or mentioned field in your resume? So yes projects are very important to be selected in any company L. They want to see your implementation skills in that particular field and your project during the learning time of these technology like you want to work in data science and machine learning field then you should first create some projects in that language and present them at the time of interviews.

Physics rules can be implemented in programming like calculating collision detection between two objects or if needed to find out time to collision of drop at the surface majorly in field of bio technology which needed physics knowledge to programs such kind of detector.
So you can relate programming with physics and maths are always linked with all codes logics
https://elitedatascience.com/learn-machine-learning

Answer 2

Data science / Machine learning is basically the application of mathematical and statistical models to induce information from data, and data is often related to other fields (including physics and chemistry of course).

So having knowledge in other fields is highly recommended (or even required sometimes).

This will revolutionize scientific methodology itself, since algorithms can infere hypotheses just from data.

Answer 3

post graduate maybe and use a resource that works towards the prestigious Data Lab Masters Scholarships.

like so the masters in data science https://www.gla.ac.uk/postgraduate/taught/datascience/