Volver a Big Data, Artificial Intelligence, and Ethics
Opiniones y comentarios de aprendices correspondientes a Big Data, Artificial Intelligence, and Ethics por parte de Universidad de California, Davis
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This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data. Since an important part of this data is about ourselves, using algorithms in order to learn more about ourselves naturally leads to ethical questions. Therefore, we cannot finish this course without also talking about research ethics and about some of the old and new lines computational social scientists have to keep in mind. As hands-on labs, you will use IBM Watson’s artificial intelligence to extract the personality of people from their digital text traces, and you will experience the power and limitations of machine learning by teaching two teachable machines from Google yourself.
Principales reseñas
VM
27 de abr. de 2020
A perfect course for beginners and non-computational professionals who are curious to explore Digital foot print, the state of the art Artificial Intelligence applications and the research ethics.
PK
8 de jul. de 2020
Excellent course on How the Big Data, AI and ML technology plays a big role in developing the world. Thanks to all the professors who made it even easier to understand the subject with clarity.
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101 - 103 de 103 revisiones para Big Data, Artificial Intelligence, and Ethics
por Harsh K V
•9 de ago. de 2020
The content was great but the sound quality needs to be improved.
por abhishek a
•1 de oct. de 2020
This course is not comprehensive or in-depth
por Supantha R
•5 de ago. de 2020
I learnt nothing special
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