The Resource Machine learning : the new AI, Ethem Alpaydin
Machine learning : the new AI, Ethem Alpaydin
Resource Information
The item Machine learning : the new AI, Ethem Alpaydin represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Machine learning : the new AI, Ethem Alpaydin represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- Summary
- As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as "Big Data" has gotten bigger, the theory of machine learning has also advanced. This book presents an overview of machine learning, which underlies applications that include recommendation systems, face recognition, and driverless cars. The author, a machine learning expert, offers information for the general reader, describing the evolution of machine learning, explaining important learning algorithms, and presenting example applications. The author also considers potential directions for machine learning and the field of "data science," and discusses the ethical and legal implications for data privacy and security
- Language
- eng
- Extent
- 1 online resource
- Contents
-
- Why we are interested in machine learning
- Machine learning, statistics and data analytics
- Pattern recognition
- Neural networks and deep learning
- Learning clusters and recommendations
- Learning to take actions
- Where do we go from here?
- Isbn
- 9780262337595
- Label
- Machine learning : the new AI
- Title
- Machine learning
- Title remainder
- the new AI
- Statement of responsibility
- Ethem Alpaydin
- Language
- eng
- Summary
- As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as "Big Data" has gotten bigger, the theory of machine learning has also advanced. This book presents an overview of machine learning, which underlies applications that include recommendation systems, face recognition, and driverless cars. The author, a machine learning expert, offers information for the general reader, describing the evolution of machine learning, explaining important learning algorithms, and presenting example applications. The author also considers potential directions for machine learning and the field of "data science," and discusses the ethical and legal implications for data privacy and security
- Cataloging source
- N$T
- http://library.link/vocab/creatorName
- Alpaydin, Ethem
- Dewey number
- 006.3/1
- Index
- index present
- LC call number
- Q325.5
- LC item number
- .A47 2016eb
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- Series statement
- MIT Press essential knowledge series
- http://library.link/vocab/subjectName
-
- Machine learning
- Artificial intelligence
- COMPUTERS
- Artificial intelligence
- Machine learning
- Maschinelles Lernen
- Label
- Machine learning : the new AI, Ethem Alpaydin
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Why we are interested in machine learning -- Machine learning, statistics and data analytics -- Pattern recognition -- Neural networks and deep learning -- Learning clusters and recommendations -- Learning to take actions -- Where do we go from here?
- Control code
- 960457556
- Dimensions
- unknown
- Extent
- 1 online resource
- File format
- unknown
- Form of item
- online
- Isbn
- 9780262337595
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)960457556
- Label
- Machine learning : the new AI, Ethem Alpaydin
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Why we are interested in machine learning -- Machine learning, statistics and data analytics -- Pattern recognition -- Neural networks and deep learning -- Learning clusters and recommendations -- Learning to take actions -- Where do we go from here?
- Control code
- 960457556
- Dimensions
- unknown
- Extent
- 1 online resource
- File format
- unknown
- Form of item
- online
- Isbn
- 9780262337595
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)960457556
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Machine-learning--the-new-AI-Ethem/7_hjc8v_vno/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Machine-learning--the-new-AI-Ethem/7_hjc8v_vno/">Machine learning : the new AI, Ethem Alpaydin</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
