Machine Learning: Past, Present, and Future [Video]
Gain insights on the evolution of Machine Learning from Professor Tom Dietterich, who is considered as one of the founders of Machine Learning.
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BigML Chief Scientist Professor Tom Dietterich gave one of the keynotes at the recent 2ML event held in Madrid, Spain. The event was jointly organized by the consultancy Barrabés and BigML and gathered an audience of 400 decision makers, technology professionals, and industry practitioners. Based on popular demand, we have posted on our YouTube channel the video recording of Dr. Dietterich’s presentation that covers the evolution of machine learning since its inception:
The corresponding slide deck can be accessed on the BigML SlideShare page. It goes over the present-day machine learning challenges such as automated decision-making, perceptual tasks, and anomaly detection. It concludes with key future themes that will keep the discipline occupied for years to come: detection and correcting for bias, risk-sensitive optimization, explanation of black box systems, verification and validation, and integrating ML components into larger software systems. Enjoy!
Published at DZone with permission of Atakan Cetinsoy, DZone MVB. See the original article here.
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