Degree
Master of Science in Computer Science
Department
Department of Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Date of Submission
2020-06-30
Supervisor
Dr. Tariq Mahmood, Assistant Professor, Faculty of Computer Science, Institute of Business Administration (IBA), Karachi
Document type
MSCS Survey Report
Keywords
Machine learning, Algorithms, AutoML, Cognitive APIs, Blackbox approach
Abstract
Machine learning is being adopted rapidly throughout various industries and is being utilized to solve various problems like Spam Detection, Medical Diagnosis, Product Recommendations, Predictive Maintenance, Image Recognition and so on. However, with the increase in data it has become essential to run the process into various pipelines to get optimal results and manual work of Data Scientists has grown to become complex, time consuming and expensive as it requires various training cycles, handling concept drifts and hyperparameter tuning which diverts attention from the actual work.
AutoML solves all these problems by providing state of the art algorithms and tools that allows data scientists to focus on the business challenges whereas the complex tasks as these are handled by these platforms.
This research survey discusses these platforms and how they are being utilized in the industry, the underlying algorithms that make these platforms effective and what the future holds for them.
Recommended Citation
Siddiqui, W. u. (2020). Survey on autonomous machine learning in academics and industry (Unpublished MSCS survey report). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/survey-reports-mscs/37
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