Quality Score
Overall Score : 92 / 100
Course Description
Instructor Details
- 4.6 Rating
17 Reviews
Alex Aklson
Alex Aklson, Ph.D., is a data scientist in the Digital Business Group at IBM Canada. Alex has been intensively involved in many exciting data science projects such as designing a smart system that could detect the onset of dementia in older adults using longitudinal trajectories of walking speed and home activity. Before joining IBM, Alex worked as a data scientist at Datascope Analytics, a data science consulting firm in Chicago, IL, where he designed solutions and products using a human-centred, data-driven approach. Alex received his Ph.D. in medical Engineering from the University of Toronto.
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Reviews
By Rose C on 10-Nov-19
I really enjoyed this course, specially for all the labs and assignments. Thanks much!
By Pokala A on 6-Nov-19
It,s a very good course to get grip on keras and artificial neural networks.
By Benhur O J on 10-Oct-19
Good practical examples for ANN. It could be improved the theoretical part and compare better the architecture of the networks with the algorithms and code for Keras
By deepthi on 9-Oct-19
Loved the way the instructor has clearly set the expectations of the scope and breadth of coverage of topics in this course. However, if the course was a bit more deeper into intermediate level concepts, it would have given me more confidence to face interviews. Nevertheless, I would love to learn more from this instructor as he kept me motivated (and not bored) all through the course from start to the end.
By Simone P on 3-Oct-19
It seems more a review of concepts that you need to have already have studied on other courses/books than a real introduction.
By GAUTAM K on 3-Oct-19
Very intractive and benificial course for me .Thank you coursera and IBM for this course
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