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13.

Ontology learning for the semantic Web

Maedche, Alexander.

Format:

Books

Publication Date

2002

Excerpt:

Ontology learning for the semantic Web / Maedche, Alexander.

Available: Copies:

14.

Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and techniques to build intelligent systems

Géron, Aurélien, author.

Format:

Books

Publication Date

2019

Excerpt:

Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : concepts, tools, and

Available: Copies:

15.

The elements of statistical learning : data mining, inference, and prediction

Hastie, Trevor, author.

Rutgers restricted Full text available from Springer
e-print http://www-stat.stanford.edu/~tibs/ElemStatLearn/
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=018627387&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Table of contents http://swbplus.bsz-bw.de/bsz287727726inh.htm
Table of contents http://bvbr.bib-bvb.de:8991/F?func=serviceetdoc_library=BVB01etdoc_number=018627387etline_number=0001etfunc_code=DB_RECORDSetservice_type=MEDIA

Format:

Books

Publication Date

2009

Excerpt:

Supervised learning (Machine learning)

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16.

How to create a mind : the secret of human thought revealed

Kurzweil, Ray.

Format:

Books

Publication Date

2013

Excerpt:

, learning and logic, he shows how the building blocks for our future machines exist underneath. Kurzweil

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17.

Artificial intelligence : structures and strategies for complex problem solving

Luger, George F.

Format:

Books

Publication Date

2002

Excerpt:

Search -- Representation and Intelligence: The AI Challenge -- Machine Learning -- Advanced Topics for AI

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18.

Artificial intelligence

Rich, Elaine.

Publisher description http://catdir.loc.gov/catdir/description/mh022/90020608.html
Table of contents http://catdir.loc.gov/catdir/toc/mh021/90020608.html
Table of contents http://www.gbv.de/dms/bowker/toc/9780070522633.pdf

Format:

Books

Publication Date

1991

Excerpt:

-- Understanding -- Natural language processing -- Parallel and distributed AI -- Learning -- Connectionist models

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