MBA HEC Montréal
This session covers the basics of deep learning, feature learning, feed-forward networks, training neural networks, convolutional neural networks (CNNs) and recurrent neural networks (RNNs). It will also be a session that will focus on the analysis of statistical biases and the ethical issue raised by the use of algorithms.
Moyer, Brian, and Abe Dunn. 2020. “Measuring the Gross Domestic Product (GDP): The Ultimate Data Science Project.” Harvard Data Science Review 2 (1).[Article]
LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. 2015. “Deep Learning.” Nature 521 (7553, 7553): 436-44.[Article]
“Google Duplex: An AI System for Accomplishing Real-World Tasks over the Phone.” Google AI Blog. Accessed September 14, 2020.[Article]
Floridi, Luciano, and Josh Cowls. 2019. “A Unified Framework of Five Principles for AI in Society.” Harvard Data Science Review 1 (1).[Article]
Spiegelhalter, David. 2020. “Should We Trust Algorithms?” Harvard Data Science Review 2 (1).[Article]