Machine Learning in Data Science

Question

Do we have data scientists here or machine learning experts? what can you advise to newbies like me to learn it faster?

Answer 1

This may be a good path for a newbie:
1)learn basic visualizations in statistics ( bar chart, histogram,scatter plots etc).
2) learn random variables, probability distributions, sampling concepts and hypothesis testing.
3)Try coding the things mentioned above in Python( using tools like scipy,matplotlib,pandas etc)
4)learn regression analysis, time series analysis text analysis and implement them in R programming language ( one of the most widely used languages in data science)
5) learn concepts related to natural language processing.
6) learn concepts related to system modelling and simulation.
7) In the meantime learn standard computing algorithms ( with emphasis on trees).
8) Now you have a good foundation to explore machine learning.

P.S: I am a computer science graduate with a specialization in data science. :)

Answer 2

A machine learning course in coursera would be a good start but as I think its just a foundation course it would keep you still unfit for a full time job in machine learning.

If you can afford to pay for a course I think a machine learning ( or a data science course) in Simplilearn would be very good course which will help you in finding a job. Unlike courses in coursera these courses in simplilearn are easily recognized by various employers and hence would help you finding a job with ease.

If you are into machine learning just because you enjoy it I think learning it from free materials available online would be good.

Answer 3

while I'm not an expert, I have also been trying to get more in to machine learning. So far, I've found that, like a lot of things in programming, there are resources online. learning Python can be good because there are easy to use libraries. Most notably SciPy.

If natural language processing is of particular interest to you (as it is to me). There is NLTK (Natural Language Tool Kit) for Python. There is documentation for that as well to help in using it.

Again, like a lot of things in programming it may be best to learn by doing small projects. Things like basic classification problems can be a good start. I must emphasize, I'm not an expert but these are things I have been trying to do to learn more about this topic.

Answer 4

html and css are really easy

just go through the tutorials, make a bunch of websites and then make a bunch of stylesheets

then you're done

Answer 5

@mohammad. is it a good way to learn it in coursera? i just enrolled on its free course about machine learning

Answer 6

i actually came up to data science because I really want to maximize the use of Python since I really like that language.

Answer 7

thanks, I'll check that one.