henryleecom:
Am still a beginner too

wellahealth:
We collect health data and are planning on using machine learning to build predictive models in health care.

talk2hb1:
Collecting Housing price data and trying to predict future cost using Bayes learner. I have been working on this custom WordPress plugin to help filter spam comments, but my busy schedule kept that in a safe house.

Gaara101:

That's cool. I'm a learner but I want to ask a question.
What are the things you put into consideration? I'm referring to the former

Gaara101:

I thought no one would reply.
So bro, how's the journey so far?

Gaara101:

I thought no one would reply.
So bro, how's the journey so far?

1bkaye:
Took a related module at school which I found interesting. Ive read up a bit on its role in healthcare where it would probably have the greatest impact, we're a long way away but it's exciting when you think of the potential it has to revolutionise the industry.

forap:


Interesting...

1bkaye:
It is isn't it

forap:


Sure it is, AI is probably the most exciting branch of computer science, albeit most difficult.
I find it interesting when a lady takes interest in it.

neahyo:
Hi! I'm a graduate of Statistics with a decent grade. I'm a data analyst and machine learning enthusiast; I'm pretty good with machine learning algorithms.
After taking a course on Data mining at school, the book that changed my life was "Introduction to Statistical Learning Using R" by Hastie, Written, Tibshirani. I would love to share ideas with other machine learners. Anyways I'm proficient with R, STATA, and Minitab, I'd love to collaborate with any one with valuable data.

1bkaye:
Took a related module at school which I found interesting. Ive read up a bit on its role in healthcare where it would probably have the greatest impact, we're a long way away but it's exciting when you think of the potential it has to revolutionise the industry.

Gaara101:

That's good to know.
Are you still involved in the field?

Gaara101:

That's great.
What aspect of machine learning are you focused on?
I just downloaded the book you listed. Do you need to have a statistical background before delving in.
I skimmed through the chapter and it seems kind of easy but the author said the reader should have taken at least a statistics class.

neahyo:

To be proficient with machine learning, basic knowledge of statistics and mathematics is required. You will need a bit of mathematics to understand topics such as SVM, dimension reduction techniques, and others. I took the Stanford's online course "Introduction to Statistical learning" I think in 2014 during my third year, but I scored 41%, I had to retake in 2015 which I scored (if I can remember vividly) 65%. The course is taken yearly, the next class will likely hold in March or thereabout.

By the way, I don't understand your question about what aspect of machine learning I'm focused on. I hope to get involved in Deep learning, artificial intelligence, pattern recognition and other related areas. For now, I can only say I work on supervised and unsupervised problems. Bro, read articles by Brendan Connor, Andrew Gelman, Nathan Yau of flowing data; there is so much to learn, I'm also trying to get my feet on the ground as well. If you are have any problem with the book, I will be glad to help.

FloatingPoint:
My interest is in the application of ML in Computer Vision like object/pattern recognition etc.
It will be great to keep this thread alive.

1bkaye:

Not a data analyst or anything though I work in tech

Gaara101:

I'm very much aware of the importance of math in machine learning. I'm currently studying a linear algebra textbook and I want to study statistics in general as well.
I will definitely read those articles.
Thanks for offering your help. I will definitely ask if I come across something difficult.
Perhaps it was how I phrased the question? I was asking of the sector you apply ML. Be it health, finance etc.

Gaara101:

Really?
What do you do?

Gaara101:

That's cool bro.
So how far have you gone. What language do you use?

neahyo:
Since this thread is getting dry, do you mind if I spice it up with some talks on machine learning using R?