Introduction to Machine Learning
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What you learn in Introduction to Machine Learning ?
About this Free Certificate Course
Machine Learning is a go-along domain with Artificial Intelligence in Computer Science and Technology, which deals with training the machines with previously trained models. The system self-learns the process improves without munch of human intervention required. With the world driven by advancements in Artificial Intelligence and its technologies today, Machine Learning is gradually making its stand in various fields. Machine Learning is also one of the most sought job choices, and thus many aspirants learn it. This course introduces you to the world to Machine Learning. You will undersand niche concepts such as Supervised and Unsupervised learning, Regression and Classification. This course will educate you about different platforms where you can participate in competitions conducted world wide such as hackathon, kaggle. You also get to know the concepts behind recommendation systems and how ML on cloud is emerging.
The faculty for the course is Dr. Abhinanda Sarkar, Ph.D. from Stanford University and Ex-Faculty MIT, is Academic Director at Great Learning for Data Science and Machine Learning Programs.
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Course Outline
This section defines Machine Learning and explains it with an example.
Our course instructor
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Dr. Kumar Muthuraman
Faculty Director, Centre for Research and Analytics
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Dr. Kumar Muthuraman is the H. Timothy (Tim) Harkins Centennial Professor in the Department of Information, Risk and Operations Management and the Department of Finance at McCombs School of Business, University of Texas at Austin. He received his PHD from Stanford University. Dr. Muthuraman’s research focuses on decision making under uncertainty. Application areas of interest to him are quantitative finance, operations management and health care.
With this course, you get
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Free lifetime access
Learn anytime, anywhere
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Completion Certificate
Stand out to your professional network
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0.5 Hours
of self-paced video lectures
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