University of York
- Start Date: 20 Sep, 2021
- 3 weeks
- Study Content: Videos
Discover the benefits and risks of deep learning and its uses in systems such as assistive technology and facial recognition.
Course Fee: Free
Certificate Cost: See Fees and Eligibility
Course Description
This course is made available through the eLearnAfrica and FutureLearn partnership.
Delve into the inner workings of deep learning
From Ada Lovelace until the first decade of this century, we have relied on expert computer programmers to design and write software. Now, a whole new branch of computer science called machine learning is allowing computers to create their own software by learning from data.
On this three-week course from the University of York, you’ll discover the fundamental theory and techniques behind deep learning as well as how it’s used in applications.
Explore machine learning applications and the uses of deep learning
Deep learning is a form of machine learning that has provided performance breakthroughs across a whole host of areas.
From household devices to image processing, you’ll dive into the different areas that currently use deep learning as well as looking at how it works and whether we should worry about machines taking over the world.
Assess the safety and ethics surrounding machine learning
With machine learning giving rise to autonomous systems such as self-driving cars, there are many questions about putting our safety in the hands of these machines.
On this course, you’ll consider the ethical implications of machine learning, such as learning from personal or biased data, and of trusting your safety to a learnt system that no human can understand.
Learn from the experts at the University of York
The Department of Computer Science at the University of York is home to world-leading expertise in computer vision, and to the Assuring Autonomy International Programme, at the leading edge of assuring the safety of autonomous systems through machine learning.
With the help and guidance of top educators from the University of York, you’ll explore the main differences between machine learning and conventional programming and how machine learning is evolving autonomous systems.
This course is designed for anyone interested in machine learning and looking to further their understanding of recent innovations and research in the area.
It will be especially useful if you are looking to apply to a related undergraduate programme in the near future.
To fully engage with the materials we recommend you have at least some experience of A-Level Maths (or equivalent).
Certificate cost may vary. You will be redirected to the host page for cost and payment options.
University of York
The University of York combines the pursuit of academic excellence with a culture of inclusion, which encourages everyone – from a variety of backgrounds – to achieve their best. We are a high-performing, research-intensive Russell Group university, committed to providing an environment where great minds can thrive.
We support our students’ ambitions by offering opportunities to develop and grow, and to learn from the diverse skills and perspectives in our community. Through this approach, we create independent critical thinkers of the future who prosper in a global workplace.
York’s diverse community makes it an inspiring and exciting place to work. Our academics are world-leading in their field, undertaking research that has a global impact and is supported by an informal culture which fosters interdisciplinary collaboration. At York, students are taught by these researchers and benefit from their extensive knowledge and real-world experience.
Situated in the historic and cosmopolitan city of York, the University’s green and open campus is an excellent environment in which to live and to learn.
This institution is available on eLearnAfrica through partnership with FutureLearn.
COLLABORATION POLICY
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Complete all tests and assignments on my own, unless collaboration on an assignment is explicitly permitted.
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Not engage in any activity that would dishonestly improve my results, or improve or hurt the results of others.
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Receiving a zero or no credit for an assignment;
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Having any certificate earned in the course withheld or revoked;
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Being unenrolled from a course, learning program or degree program; or
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Termination of your use of the App and/or Site.
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CHANGING THE HONOR CODE
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Effective Date: September 22, 2016