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Bewertung und Feedback des Lernenden für Getting Started with Quantum Machine Learning von Coursera Project Network

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15 Bewertungen
4 Bewertungen

Über den Kurs

In this 2-hour long project-based course, you will learn basic principles of how machine learning can benefit from work, and how this can be implemented in Python using the Pennylane library by Xanadu. The Future is Quantum. You've heard the hype. Quantum Computing represents a completely new paradigm in the computing realm, posed to revolutionize entire industries and bring amazing new innovations as they are used for purposes such as material design, pharmaceutical design, genetic and molecular simulations, and weather simulations. The most exciting advancement just may be in the field of Artificial Intelligence and Machine Learning. Quantum computers can theoretically speed up matrix multiplications and process massive amounts of data very quickly, and thus may represent a paradigm shift in AI and ML. Most of this work is yet to be done. That's where you come in. In this project, you will learn how to utilize several software libraries to code quantum algorithms and encode data for use in both classical simulations of quantum devices or actual quantum devices that are available for use over the Internet through vendors such as IBM. I would encourage learners to experiment- How easy is it to add more layers without using frameworks like Tensorflow? What if we add more nodes? What limitations do we come across? The learner is highly encouraged to experiment beyond the scope of the course. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - 4 von 4 Bewertungen für Getting Started with Quantum Machine Learning

von Mubashshir U

17. Juli 2021

nice course but, the programming setup in virtual environment was almost nonexistent. Also maybe with another module on introduction to basic quantum computing, this would become a much more easier ride.

von Krishna D

1. Juni 2021

Perfect to explore and enhance skills in Quantum Machine Learning. However if you want to know how it works - you will need to learn Quantum Computing and Machine Learning prior to this.

von Cristiano C

7. Juli 2021

I​MHO,course not well organized

von Pascal D

30. Nov. 2021

This course is basically a rip-off. It is not a guided project, but a superficial, guided tour of the Pennylane website and documenation. As such, the project has no overall goal or does solve a complex or interesting problem using the Pennylane framework in a structured or didactically valueable manner. Instead, just some chapters of the documentation are picked, code samples are simply copied and not even explained very well or extensive such that there is no added value to reading the Pennylane documentation yourself. There is no original content whatsoever, basically every code snippet is taken from the documenation, as well as most of the slides in the instructional videos. And despite the fact that all snippets were taken unchanged from the Pennylane documentation, no effort was made to provide them in the virtual environment, - instead your are invited to "code along". Usually writing reviews is too much of a hassle for me but in this case, I feel I have to warn other users and I will try to get my money back from coursera.