Machine Learning

Computers run conventional code in a one way, always the same, without alteration. In contrast, computers able of machine learning continually analyze the performance of their algorithms and improve them. However, to become proficient in prediction or decision making, machine learning algorithms first have to undergo training based on data samples. Self-driving cars, fraud detection algorithms and recommendations from your favorite online retailer are all examples of applications of machine learning.


Summaries

The technology is improving – but the bigger issue is how it’s used.

Antoaneta Roussi et al.

Nature, 2020

9
Artificial Intelligence Meets Human Intelligence

Terrence J. Sejnowski

MIT Press, 2018

8
Scientists without coding skills adopt easy-to-use artificial intelligence software

Matthew Hutson

Science, 2019

8
Some say artificial intelligence needs to learn like a child.

Matthew Hutson

Science, 2018

9
Profound change is coming, but roles for humans remain.

Erik Brynjolfsson and Tom Mitchell

Science, 2017

8

Makada Henry-Nickie

Brookings Institution, 2018

7
How Algorithms Solve All Our Problems – And Create More

Luke Dormehl

Perigee, 2014

8

Tammy Erickson

Global Peter Drucker Forum, 2015

8
How the Quest for the Ultimate Learning Machine Will Remake Our World

Pedro Domingos

Basic Books, 2015

8

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