Machine learning Q and AI : 30 essential questions and answers on machine learning and AI/ Sebastian Raschka

By:

Raschka, Sebastian

Material type: Text

TextSan Francisco, No Starch Press, 2024Description: xxviii, 234 pages : illustrations ; 24 cmContent type:

Media type:

Carrier type:

ISBN:

9781718503762

Subject(s):

LOC classification:

Q 325.5 R37 2024

Contents:

Neural networks and deep learning Computer vision Natural language processing Production and deployment Predictive peformance and model evaluation

Summary: "An advanced exploration of machine learning and AI, with each chapter asking and answering a question from the field. Divided into five sections: deep learning and neural networks; computer vision; natural language processing; production and deployment; and predictive performance and model evaluation"-- Provided by publisher

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Book	TUP Manila Library	General Circulation Section-GF	Q 325.5 R37 2024 (Browse shelf(Opens below))		Available		P00034270
Book	TUP Manila Library	General Circulation Section-GF	Q 325.5 R37 2024 c.2 (Browse shelf(Opens below))	2	Available		P00034424

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Previous	Q 183 S77 1966 Science and the educated man; selected speeches of Julius A. Stratton.	Q 183.4 U53 T32 1991 Teacher training for science and technology education reform /	Q 320 D38 1991 Neural networks /	Q 325.5 R37 2024 Machine learning Q and AI : 30 essential questions and answers on machine learning and AI/	Q 325.5 R37 2024 c.2 Machine learning Q and AI : 30 essential questions and answers on machine learning and AI/	Q 334.5 L83 2024 Responsible AI : best practices for creating trustworthy AI systems /	Q 335 C42 1985 Introduction to artificial intelligence /	Next

Includes bibliographic references and index.

Neural networks and deep learning
Computer vision
Natural language processing
Production and deployment
Predictive peformance and model evaluation

"An advanced exploration of machine learning and AI, with each chapter asking and answering a question from the field. Divided into five sections: deep learning and neural networks; computer vision; natural language processing; production and deployment; and predictive performance and model evaluation"--
Provided by publisher

Raschka, S. (2024). Machine learning Q and AI: 30 essential questions and answers on machine learning and AI. No Starch Press.

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