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Old 11-25-2017, 04:42 AM
 
Location: Cannes
2,183 posts, read 1,259,728 times
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This seems to be a degree/specialization that will be one of the best values in the future. I have a small tech company and am thinking myself of studying it. Anyone else interested in that?
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Old 11-25-2017, 02:11 PM
 
Location: Scottsdale
906 posts, read 409,409 times
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For "Big Data", I have studied database design and implementation and data warehousing. I know about fact tables, dimensions, slowly moving attributes, and the star schema.

The "catch" is discrete math along with data structures and algorithms. Those two courses tend to weed out a lot of computer science majors. If you can handle discrete math and data structures such as the binary search tree, prefix, post-fix, the stack, the queue, linked list, etc, then you should be fine. But if not, it could be a mismatch in aptitude. A lot of people struggle with data structures and algorithms. But if you can master it, the jobs are plentiful in data analytics.

Next, I am moving towards machine learning and artificial intelligence. I looked at the prerequisites. It is indeed data structures and algorithms with software design.

Udemy has a lot of cheap courses on that. A university master's degree in data analytics is common. But again, the catch would the prerequisites. I have seen a new graduate student for machine learning get annihilated by the lack of prerequisites I mentioned above.
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Old 11-25-2017, 05:21 PM
 
Location: Cannes
2,183 posts, read 1,259,728 times
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Here in Brazil they have a master in big data and machine learning and the only pre-requisites is knowledge of python among stats and other math related classes , but i did not see discrete math among them
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Old 11-25-2017, 08:03 PM
 
1,151 posts, read 428,888 times
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Quote:
Originally Posted by survivingearth View Post
Here in Brazil they have a master in big data and machine learning and the only pre-requisites is knowledge of python among stats and other math related classes , but i did not see discrete math among them
You will rarely have to use discrete math in machine learning. The machine learning platforms such as TensorFlow have already implemented the math.

Machine learning is less about algorithmic sophistication than it is about assembling MASSIVE datasets. It's mostly grunt work.

That said, if you want to try out ML techniques on existing public datasets, I'd recommend participating in some competitions on Kaggle.com.
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Old 11-26-2017, 05:35 AM
 
Location: Cannes
2,183 posts, read 1,259,728 times
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I am just really surprised about python , simple and really efficient no wonder why they chose it for machine learning
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