Okładka

Machine Learning /

Pokaż inne wersje (2)

Zapisane w:

Opis bibliograficzny
1. autor:	Dutt Saikat
Korporacja:	DAS Amit Kumar
Kolejni autorzy:	Chandramouli Subramanian
Format:	Książka
Język:	angielski
Wydane:	Tamil Nadu, India Noida Pearson
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

Podobne zapisy

Machine Learning /
od: Dutt Saikat

Machine Learning /
od: Dutt Saikat

Machine Learning Methods
od: Li, Hang
Wydane: (2024)

Principles of Machine Learning The Three Perspectives /
od: Wang, Wenmin
Wydane: (2025)

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

Machine learning in action /
od: Harrington , Peter
Wydane: (2016)

Machine Learning in Action
od: Harrington, Peter
Wydane: (2012)

Machine learning in action /
od: Harrington , Peter
Wydane: (2016)

Machine Learning in Action
od: Harrington, Peter
Wydane: (2012)

Machine Learning in Action
od: Harrington, Peter
Wydane: (2012)

Machine learning in action /
od: Harrington , Peter
Wydane: (2016)

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

Machine learning :
od: Murphy, Kevin P.
Wydane: (2012)

Machine learning
od: Murphy, Kevin P
Wydane: (2012)

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

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

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

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

Machine Learning using Python /
od: Pradhan, Manaranjan
Wydane: (2022)

Machine Learning using Python
od: Pradhan, Manaranjan
Wydane: (2022)

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

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

Machine Learning for Real World Applications
Wydane: (2024)

Introduction to Machine Learning/
od: Alpaydin, Ethem
Wydane: (2020)

Machine Learning Safety
od: Huang, Xiaowei, i wsp.
Wydane: (2023)

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

Representation in Machine Learning
od: Murty, M. N., i wsp.
Wydane: (2023)

Practical Machine Learning Illustrated with KNIME
od: Geng, Yu, i wsp.
Wydane: (2024)

Data science and machine learning in R /
od: Thareja, Reema
Wydane: (2021)

Data science and machine learning in R /
od: Thareja, Reema
Wydane: (2021)

Data science and machine learning in R /
od: Thareja, Reema
Wydane: (2021)

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

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

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

Introduction to machine learning with Python :
od: Müller, Andreas C.
Wydane: (2016)

Introduction to machine learning with Python
od: Müller, Andreas C
Wydane: (2016)

DEEP LEARNING /
od: Goodfellow, Ian
Wydane: (2016)

DEEP LEARNING /
od: Goodfellow, Ian
Wydane: (2016)

DEEP LEARNING /
od: Goodfellow, Ian
Wydane: (2016)

DEEP LEARNING
od: Goodfellow, Ian
Wydane: (2016)