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關於課程
This professional development course is designed for engineers and technicians who need an understanding of machine learning and its basic techniques.
Machine Learning Course Benefits
Receive a Certificate of Completion from EIT.
Learn from well-known faculty and industry experts from around the globe.
Flexibility of attending anytime from anywhere, even when you are working full-time.
Interact with industry experts during the webinars and get the latest updates/announcements on the subject.
Experience a global learning with students from various backgrounds and experience which is a great networking opportunity.
Understand the fundamentals of machine learning and its basic techniques.
Learn techniques such as neural networks or decision trees and solve real-world problems.
Study the use of MATLAB and WEKA software tools and practically apply them to machine learning.
Get exposed to Simultaneous Localization and Mapping (SLAM) and neural networks and other associated rules.
Machine learning is a field of computer science that programs computers with the ability to learn from data and make informed, adaptive dynamic predictions and decisions using algorithms. It is related to computational statistics, mathematical optimization, and Artificial Intelligence (A.I.).
The last decade has witnessed exciting developments in machine learning that led to impressive consumer applications such as virtual assistants and speech recognition. This remarkable development results from increasingly powerful computers and the proliferation of smart objects’ data.
Machine learning will probably revolutionize every industry. Some applications already exist, but many are to come, especially with the advent of the Internet of Things (IoT) and the Industrial Internet of Things (IIoT). Autonomous vehicles, predictive maintenance, fault diagnosis, smart alarm processing, and advanced process control are few domains where machine learning could be applied in the industry.
Over 12 weeks, this course will aim to introduce you to the basic techniques used in machine learning. You will learn how techniques such as neural networks or decision trees can solve real-world problems. You will learn how to use MATLAB and WEKA software tools to apply machine learning in practice.
Machine Learning Course Benefits
Receive a Certificate of Completion from EIT.
Learn from well-known faculty and industry experts from around the globe.
Flexibility of attending anytime from anywhere, even when you are working full-time.
Interact with industry experts during the webinars and get the latest updates/announcements on the subject.
Experience a global learning with students from various backgrounds and experience which is a great networking opportunity.
Understand the fundamentals of machine learning and its basic techniques.
Learn techniques such as neural networks or decision trees and solve real-world problems.
Study the use of MATLAB and WEKA software tools and practically apply them to machine learning.
Get exposed to Simultaneous Localization and Mapping (SLAM) and neural networks and other associated rules.
Machine learning is a field of computer science that programs computers with the ability to learn from data and make informed, adaptive dynamic predictions and decisions using algorithms. It is related to computational statistics, mathematical optimization, and Artificial Intelligence (A.I.).
The last decade has witnessed exciting developments in machine learning that led to impressive consumer applications such as virtual assistants and speech recognition. This remarkable development results from increasingly powerful computers and the proliferation of smart objects’ data.
Machine learning will probably revolutionize every industry. Some applications already exist, but many are to come, especially with the advent of the Internet of Things (IoT) and the Industrial Internet of Things (IIoT). Autonomous vehicles, predictive maintenance, fault diagnosis, smart alarm processing, and advanced process control are few domains where machine learning could be applied in the industry.
Over 12 weeks, this course will aim to introduce you to the basic techniques used in machine learning. You will learn how techniques such as neural networks or decision trees can solve real-world problems. You will learn how to use MATLAB and WEKA software tools to apply machine learning in practice.
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