What should you learn to work on machine learning field

Machine learning is the next big thing in the technology field. It is the part of Artificial Intelligence. Machine learning enables computers to do certain tasks, such as voice recognition, diagnosis, planning, robot control, prediction, etc., without being explicitly programmed.

Many people showing their interest in this field. You are reading this article because you are also interest in machine learning. So, what skills do you need to start? Let's find out -

Programming in Python/C++/R/Java

If you want to join machine learning field, then you need to learn Python, C++, R, Java languages at some point. It will help you speed up your code, works in statistics and plots. Side by side you should learn data structures like stacks, queues, multi-dimensional arrays, trees, graphs, etc., algorithms like searching, sorting, optimization, dynamic programming, etc., computability and complexity of P, NP, NP-complete problems, big-O notation, approximate algorithms, etc., and computer architecture such as memory, cache, bandwidth, deadlocks, distributed processing, etc. 

Math and algorithms

Standard implementations of Machine Learning algorithms are widely available through libraries/packages/APIs, but applying them effectively you should have a deep understanding of a broad set of algorithms and applied math.

Learn probability and statistics 

Probability and statistics are at the heart of the Machine Learning algorithms. You need to have a firm understanding of probability and stats to work with Naive Bayes, Gaussian Mixture Models, and Hidden Markov Models.



Distributed computing

Most of the time, machine learning entails working with large data sets. To process this large data you need a cluster of computing. Projects such as Apache Hadoop and cloud services like Google computing engine or Amazon’s EC2, which makes it easier and cost-effective.

Software engineering and system design

At the end of the day, a Machine Learning engineer’s typical output or deliver a software or system. And often it is a small component that fits into a larger ecosystem of products and services. You need to understand how these different pieces work together, communicate with them and build appropriate interfaces for your component that others will depend on. 

Conclusion

The machine learning field is growing rapidly as companies try to get the most out of emerging technologies. There have always a new implementation and improvisation in this field. So, you should keep your up to date, learn from practice and read as much as you can. There are great free machine learning books online and you should read those also.

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