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Machine Learning /

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Bibliografiske detaljer
Hovedforfatter:	Dutt Saikat
Institution som forfatter:	DAS Amit Kumar
Andre forfattere:	Chandramouli Subramanian
Format:	Bog
Sprog:	engelsk
Udgivet:	Tamil Nadu, India Noida Pearson
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Lignende værker

Machine Learning /
af: Dutt Saikat

Machine Learning /
af: Dutt Saikat

Machine Learning Methods
af: Li, Hang
Udgivet: (2024)

Principles of Machine Learning The Three Perspectives /
af: Wang, Wenmin
Udgivet: (2025)

Probability and Statistics for Machine Learning A Textbook /
af: Aggarwal, Charu C.
Udgivet: (2024)

Machine learning in action /
af: Harrington , Peter
Udgivet: (2016)

Machine Learning in Action
af: Harrington, Peter
Udgivet: (2012)

Machine learning in action /
af: Harrington , Peter
Udgivet: (2016)

Machine Learning in Action
af: Harrington, Peter
Udgivet: (2012)

Machine Learning in Action
af: Harrington, Peter
Udgivet: (2012)

Machine learning in action /
af: Harrington , Peter
Udgivet: (2016)

Trustworthy Machine Learning for Healthcare First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings /
Udgivet: (2023)

Machine learning :
af: Murphy, Kevin P.
Udgivet: (2012)

Machine learning
af: Murphy, Kevin P
Udgivet: (2012)

Machine Learning in Bioinformatics : An introduction to machine learning methods and their applications to problems in bioinformatics /
af: Quing,Yan
Udgivet: (2009)

Machine Learning in Bioinformatics An introduction to machine learning methods and their applications to problems in bioinformatics
af: Quing,Yan
Udgivet: (2009)

Online Machine Learning A Practical Guide with Examples in Python /
Udgivet: (2024)

Machine Learning and Deep Learning in Computational Toxicology
Udgivet: (2023)

Machine Learning using Python /
af: Pradhan, Manaranjan
Udgivet: (2022)

Machine Learning using Python
af: Pradhan, Manaranjan
Udgivet: (2022)

Machine Learning with R : Learn how to Use R to Apply Powerful Machine Learning Methods and Gain an Insight Into Real-world Applications /
af: Lantz,Brett
Udgivet: (2013)

Machine Learning with R Learn how to Use R to Apply Powerful Machine Learning Methods and Gain an Insight Into Real-world Applications
af: Lantz,Brett
Udgivet: (2013)

Machine Learning for Real World Applications
Udgivet: (2024)

Introduction to Machine Learning/
af: Alpaydin, Ethem
Udgivet: (2020)

Machine Learning Safety
af: Huang, Xiaowei, et al.
Udgivet: (2023)

Advanced Machine Learning with Evolutionary and Metaheuristic Techniques
Udgivet: (2024)

Representation in Machine Learning
af: Murty, M. N., et al.
Udgivet: (2023)

Practical Machine Learning Illustrated with KNIME
af: Geng, Yu, et al.
Udgivet: (2024)

Data science and machine learning in R /
af: Thareja, Reema
Udgivet: (2021)

Data science and machine learning in R /
af: Thareja, Reema
Udgivet: (2021)

Data science and machine learning in R /
af: Thareja, Reema
Udgivet: (2021)

From Unimodal to Multimodal Machine Learning An Overview /
af: Škrlj, Blaž
Udgivet: (2024)

Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators RAMSES /
Udgivet: (2024)

Machine Learning and Optimization for Engineering Design
Udgivet: (2023)

Introduction to machine learning with Python :
af: Müller, Andreas C.
Udgivet: (2016)

Introduction to machine learning with Python
af: Müller, Andreas C
Udgivet: (2016)

DEEP LEARNING /
af: Goodfellow, Ian
Udgivet: (2016)

DEEP LEARNING /
af: Goodfellow, Ian
Udgivet: (2016)

DEEP LEARNING /
af: Goodfellow, Ian
Udgivet: (2016)

DEEP LEARNING
af: Goodfellow, Ian
Udgivet: (2016)