Machine learning: Difference between revisions

Revision as of 13:13, 27 December 2018

Revision as of 15:11, 2 January 2019

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Although machine learning has been transformative in some fields, effective machine learning is difficult because finding patterns is hard and often not enough training data are available; as a result, many machine-learning programs often fail to deliver the expected value.<ref>{{Cite news|url=http://web.archive.org/web/20170320225010/https://www.bloomberg.com/news/articles/2016-11-10/why-machine-learning-models-often-fail-to-learn-quicktake-q-a|title=Why Machine Learning Models Often Fail to Learn: QuickTake Q&A|date=2016-11-10|work=Bloomberg.com|access-date=2017-04-10}}</ref><ref>{{Cite news|url=https://hbr.org/2017/04/the-first-wave-of-corporate-ai-is-doomed-to-fail|title=The First Wave of Corporate AI Is Doomed to Fail|date=2017-04-18|work=Harvard Business Review|access-date=2018-08-20}}</ref><ref>{{Cite news|url=https://venturebeat.com/2016/09/17/why-the-a-i-euphoria-is-doomed-to-fail/|title=Why the A.I. euphoria is doomed to fail|date=2016-09-18|work=VentureBeat|access-date=2018-08-20|language=en-US}}</ref> Reasons for this are numerous: lack of (suitable) data, lack of access to the data, data bias, privacy problems, badly chosen tasks and algorithms, wrong tools and people, lack of resources, and evaluation problems.<ref>{{Cite web|url=https://www.kdnuggets.com/2018/07/why-machine-learning-project-fail.html|title=9 Reasons why your machine learning project will fail|website=www.kdnuggets.com|language=en-US|access-date=2018-08-20}}</ref>

In 2018, a self-driving car from [[Uber]] failed to detect a pedestrian, who gotwas killed inafter thea accidentcollision.<ref>{{Cite news|url=https://www.economist.com/the-economist-explains/2018/05/29/why-ubers-self-driving-car-killed-a-pedestrian|title=Why Uber’s self-driving car killed a pedestrian|work=The Economist|access-date=2018-08-20|language=en}}</ref> Attempts to use machine learning in healthcare with the [[Watson (computer)|IBM Watson]] system failed to deliver even after years of time and billions of investment.<ref>{{Cite news|url=https://www.statnews.com/2018/07/25/ibm-watson-recommended-unsafe-incorrect-treatments/|title=IBM's Watson recommended 'unsafe and incorrect' cancer treatments - STAT|date=2018-07-25|work=STAT|access-date=2018-08-21|language=en-US}}</ref><ref>{{Cite news|url=https://www.wsj.com/articles/ibm-bet-billions-that-watson-could-improve-cancer-treatment-it-hasnt-worked-1533961147|title=IBM Has a Watson Dilemma|last=Hernandez|first=Daniela|date=2018-08-11|work=Wall Street Journal|access-date=2018-08-21|last2=Greenwald|first2=Ted|language=en-US|issn=0099-9660}}</ref>

===Bias===