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We’ve Added a New Machine Learning Course to Our Video Library!

This is a 2 and a half hour introductory course in Machine Learning. It’s taught by Yogesh Kulkarni, a practitioner and instructor in the field of Machine learning.


Why You Should Study This Topic:
Machine Learning is getting more popular each day. It is not just hype, but an essential technique made possible and powerful by the availability of data. Studying Machine Learning is imperative, and Python is a good programming environment to get started with the basics. This workshop will not only familiarize you with this powerful and popular techniques, but will also give you the confidence necessary to venture into this on your own, thereby improving your chances of a lucrative career ahead.


Who Should Watch:
This course is for anyone who wants to become more familiar with Machine Learning. It is recommended to have some knowledge of college level mathematics and programming using Python. You can be from any domain, such as Finance, Engineering, Agriculture, Biology, etc. you will know a new problem-solving technique which could be of great help in your own domain.


What You’ll Learn:
You will learn what Artificial Intelligence is, how it relates to Machine Learning and Deep Learning, what’s the core idea behind problem solving and how Machine Learning technique goes about finding solutions. You will also learn how Machine Learning solutions are implemented using Python programming and see an example a practical real-life case.


About The Instructor:
Yogesh H. Kulkarni is a consultant and an instructor in Data Science space, with a doctoral degree in Mechanical Engineering, specializing in Geometric Modeling algorithms. He has taught Python, Machine Learning and Natural Language processing in the corporate world as well as to students in Engineering colleges.



This post first appeared on CCIE Blog - Helping You Become A Cisco Certified Internetwork Expert, please read the originial post: here

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We’ve Added a New Machine Learning Course to Our Video Library!

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