Azala

Machine Learning /

Erakutsi beste bertsioak (2)

Gorde:

Xehetasun bibliografikoak
Egile nagusia:	Dutt Saikat
Erakunde egilea:	DAS Amit Kumar
Beste egile batzuk:	Chandramouli Subramanian
Formatua:	Liburua
Hizkuntza:	ingelesa
Argitaratua:	Tamil Nadu, India Noida Pearson
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Machine Learning /
nork: Dutt Saikat

Machine Learning /
nork: Dutt Saikat

Machine Learning Methods
nork: Li, Hang
Argitaratua: (2024)

Principles of Machine Learning The Three Perspectives /
nork: Wang, Wenmin
Argitaratua: (2025)

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

Machine learning in action /
nork: Harrington , Peter
Argitaratua: (2016)

Machine Learning in Action
nork: Harrington, Peter
Argitaratua: (2012)

Machine learning in action /
nork: Harrington , Peter
Argitaratua: (2016)

Machine Learning in Action
nork: Harrington, Peter
Argitaratua: (2012)

Machine learning in action /
nork: Harrington , Peter
Argitaratua: (2016)

Machine Learning in Action
nork: Harrington, Peter
Argitaratua: (2012)

Machine learning :
nork: Murphy, Kevin P.
Argitaratua: (2012)

Machine learning
nork: Murphy, Kevin P
Argitaratua: (2012)

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

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

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

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

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

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

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

Machine Learning using Python /
nork: Pradhan, Manaranjan
Argitaratua: (2022)

Machine Learning using Python
nork: Pradhan, Manaranjan
Argitaratua: (2022)

Machine Learning for Real World Applications
Argitaratua: (2024)

Introduction to Machine Learning/
nork: Alpaydin, Ethem
Argitaratua: (2020)

Machine Learning Safety
nork: Huang, Xiaowei, et al.
Argitaratua: (2023)

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

Representation in Machine Learning
nork: Murty, M. N., et al.
Argitaratua: (2023)

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

Data science and machine learning in R /
nork: Thareja, Reema
Argitaratua: (2021)

Data science and machine learning in R /
nork: Thareja, Reema
Argitaratua: (2021)

Data science and machine learning in R /
nork: Thareja, Reema
Argitaratua: (2021)

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

Introduction to machine learning with Python :
nork: Müller, Andreas C.
Argitaratua: (2016)

Introduction to machine learning with Python
nork: Müller, Andreas C
Argitaratua: (2016)

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

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

Advanced Techniques in Optimization for Machine Learning and Imaging
Argitaratua: (2024)

Metaheuristics for Machine Learning New Advances and Tools /
Argitaratua: (2023)

Applications of Machine Learning in Hydroclimatology
nork: Srivastav, Roshan, et al.
Argitaratua: (2025)

Mean Field Guided Machine Learning
nork: Kang, Yuhan, et al.
Argitaratua: (2025)