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Want to switch to ML field. Could someone give some good advice how to start ?

 
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Dear Fellows, I have java/j2ee background and now I am thinking if I can switch to Machine Learning type job, since I see this is being widely adopted in all fields.  But I don't have ML job experience. So I want to see if I could get some advice from you --

Could you advice me how I can prepare so that I will be technically to be hired for such job ?  What language/tools should I learn, any good training site or source ?

Thank you very much.
 
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Adding you to our jobs forum.

More to the point, what do you know about machine learning? How do you think you could learn more?
 
David Mutansan
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Campbell Ritchie wrote:Adding you to our jobs forum.

More to the point, what do you know about machine learning? How do you think you could learn more?



I nearly know nothing yet.  All I have done is I spent few hours and learned some basic concepts like data mining, supervised learning, linear regression, gradient descent. That's it.  Even that was at concept and math level.  I was able to understand it sine my math is ok.  Other than that I don't know anything.
 
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Does your employer have anybody working in that field? Iff they have, can you get them to send you on a course on AI/ML?
 
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D. Wizard Mutansan wrote:

Campbell Ritchie wrote:Adding you to our jobs forum.

More to the point, what do you know about machine learning? How do you think you could learn more?



I nearly know nothing yet.  All I have done is I spent few hours and learned some basic concepts like data mining, supervised learning, linear regression, gradient descent. That's it.  Even that was at concept and math level.  I was able to understand it sine my math is ok.  Other than that I don't know anything.



Dealing with gradient descent, linear regression and so on it's something that modern ML frameworks do for you automatically. Don't misunderstand me: I think that knowing what's going under the hood in ML is a MUST, if you want really achive knowledge of the theorical aspects of the matter.
If you're not aiming to work at a research facility, it's unlikely that you will develop a ML framework from scratch.
This said, ML is an HUGE field. Which sector of ML (if it could be named so) would you like to work in ? As a data scientist ? Big Data ? Artificial vision ?
 
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Campbell Ritchie wrote:Does your employer have anybody working in that field? Iff they have, can you get them to send you on a course on AI/ML?



I am looking to find resource myself to learn.
 
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Claude Moore wrote:
...This said, ML is an HUGE field. Which sector of ML (if it could be named so) would you like to work in ? As a data scientist ? Big Data ? Artificial vision ?



Learning by yourself is a valid option but you might miss the whole point. Instead I recommend to try any of the -free- courses that MOOC platforms offer, try Mit Courseware, Coursera, Udacity, Edx or Kaggle, just to name a few. Having said it, be ready to deal with overwhelming workload, do not feel intimidated by Linear Algebra, Statistics and Probabilities, Graph Theory, Python, ML Algorithms, Scala, R Language, standard tools, applications, data sets and ... last but not least subject areas -biodata, genoma, artificial vision....-   Some people claim that not all this stuff is necessary, I disagree.

Please share with us what decisions you make, what you would start with, etc.

Disclaimer: I have no any relationship with before mentioned MOOC platforms other than a learner. I advise you to do your own research.





 
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