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CTS-115 Chapter 6 Quiz Review – Flashcards 20 terms
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Ruth Jones
20 terms
Machine Learning Marketing Principles Of Marketing Wholly Owned Subsidiary
Chapter 9: Global Market Entry Strategies – Flashcards 38 terms
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Ewan Tanner
38 terms
Machine Learning Rows And Columns
MIS Final Review Chapter 9 – Flashcards 77 terms
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Henry Lowe
77 terms
Advantages And Disadvantages Big Data Deviation From The Mean Machine Learning
ISM Test 3 USF – Flashcards 100 terms
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Ben Powell
100 terms
Brick And Mortar Business Management Buying Goods And Services Full Line Discount Machine Learning Principles Of Marketing
MGMT 100 final: Managerial Control – Flashcards 45 terms
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Mya Day
45 terms
Business Intelligence Machine Learning Rows And Columns
MIS 3063 CH 8 – Flashcards 20 terms
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Blake Terry
20 terms
What is Machine Learning?
Two definitions of Machine Learning are offered. Arthur Samuel described it as: “the field of study that gives computers the ability to learn without being explicitly programmed.” This is an older, informal definition. Tom Mitchell provides a more modern definition: “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.” In general, any machine learning problem can be assigned to one of two broad classifications: Supervised learning and Unsupervised learning.
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There are two different types of inductive bias that a machine learning algorithm can use
a commonly used type of machine learning solution that matches users to items
Recommendation models, or recommenders,
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Goal of machine learning
to find the predictive model that generalize well
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Supervised machine learning
automatically learns a model of the relationship between a set of descriptive features and a target features based on a set of historical examples, or instances
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T/F AI systems typically include the ability to learn from experience, referred to as “machine learning.”
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