Machine learning for absolute beginners : a plain English introduction / Oliver Theobald.

By:

Theobald, Oliver [author.]

Material type: Text

TextPublisher: [United States] : The author, [2017]Edition: Second editionDescription: 156 pages ; 23 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781549617218 (paperback)
1549617214 (paperback)

Subject(s):

DDC classification:

006.31 THE 2017 23

LOC classification:

Q323.5 .T44 2017

Online resources:

Click here to access online

Summary: "The manner in which computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the modern age of machine learning, computers do not strictly need to receive an 'input command' to perform a task, but rather 'input data'. From the input of data they are able to form their own decisions and take actions virtually as a human world. But given it is a machine, it can consider many more scenarios and execute far more complicated calculations to solve complex problems. This is the element that excites data scientists and machine learning engineers the most. The ability to solve complex problems never before attempted. This book will dive in to introduce machine learning, and is ideal for beginners starting out in machine learning."--page 4 of cover.

List(s) this item appears in: eBooks_FEC

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Holdings ( 1 )
Title notes ( 1 )

Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode	Item holds	Course reserves
Electronic Book		FIRST CITY UNIVERSITY COLLEGE	006.31 THE 2017 (Browse shelf(Opens below))	e-book		e00062		B Software Engineering (Hons) B. Computer Science (Intelligent Systems) (Hons)

Total holds: 0

"The manner in which computers are now able to mimic human thinking to process information is rapidly exceeding human capabilities in everything from chess to picking the winner of a song contest. In the modern age of machine learning, computers do not strictly need to receive an 'input command' to perform a task, but rather 'input data'. From the input of data they are able to form their own decisions and take actions virtually as a human world. But given it is a machine, it can consider many more scenarios and execute far more complicated calculations to solve complex problems. This is the element that excites data scientists and machine learning engineers the most. The ability to solve complex problems never before attempted. This book will dive in to introduce machine learning, and is ideal for beginners starting out in machine learning."--page 4 of cover.