Ata uhi

Machine Learning /

Whakaatu ērā atu putanga (2)

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Kaituhi matua:	Dutt Saikat
Kaituhi rangatōpū:	DAS Amit Kumar
Ētahi atu kaituhi:	Chandramouli Subramanian
Hōputu:	Pukapuka
Reo:	Ingarihi
I whakaputaina:	Tamil Nadu, India Noida Pearson
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

Machine Learning /
mā: Dutt Saikat

Machine Learning /
mā: Dutt Saikat

Machine Learning Methods
mā: Li, Hang
I whakaputaina: (2024)

Principles of Machine Learning The Three Perspectives /
mā: Wang, Wenmin
I whakaputaina: (2025)

Probability and Statistics for Machine Learning A Textbook /
mā: Aggarwal, Charu C.
I whakaputaina: (2024)

Machine learning in action /
mā: Harrington , Peter
I whakaputaina: (2016)

Machine Learning in Action
mā: Harrington, Peter
I whakaputaina: (2012)

Machine learning in action /
mā: Harrington , Peter
I whakaputaina: (2016)

Machine Learning in Action
mā: Harrington, Peter
I whakaputaina: (2012)

Machine learning in action /
mā: Harrington , Peter
I whakaputaina: (2016)

Machine Learning in Action
mā: Harrington, Peter
I whakaputaina: (2012)

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

Machine learning :
mā: Murphy, Kevin P.
I whakaputaina: (2012)

Machine learning
mā: Murphy, Kevin P
I whakaputaina: (2012)

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

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

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

Machine Learning and Deep Learning in Computational Toxicology
I whakaputaina: (2023)

Machine Learning using Python /
mā: Pradhan, Manaranjan
I whakaputaina: (2022)

Machine Learning using Python
mā: Pradhan, Manaranjan
I whakaputaina: (2022)

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

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

Machine Learning for Real World Applications
I whakaputaina: (2024)

Introduction to Machine Learning/
mā: Alpaydin, Ethem
I whakaputaina: (2020)

Machine Learning Safety
mā: Huang, Xiaowei, me ētahi atu.
I whakaputaina: (2023)

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

Representation in Machine Learning
mā: Murty, M. N., me ētahi atu.
I whakaputaina: (2023)

Practical Machine Learning Illustrated with KNIME
mā: Geng, Yu, me ētahi atu.
I whakaputaina: (2024)

Data science and machine learning in R /
mā: Thareja, Reema
I whakaputaina: (2021)

Data science and machine learning in R /
mā: Thareja, Reema
I whakaputaina: (2021)

Data science and machine learning in R /
mā: Thareja, Reema
I whakaputaina: (2021)

From Unimodal to Multimodal Machine Learning An Overview /
mā: Škrlj, Blaž
I whakaputaina: (2024)

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

Machine Learning and Optimization for Engineering Design
I whakaputaina: (2023)

Introduction to machine learning with Python :
mā: Müller, Andreas C.
I whakaputaina: (2016)

Introduction to machine learning with Python
mā: Müller, Andreas C
I whakaputaina: (2016)

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

DEEP LEARNING /
mā: Goodfellow, Ian
I whakaputaina: (2016)

DEEP LEARNING /
mā: Goodfellow, Ian
I whakaputaina: (2016)

DEEP LEARNING /
mā: Goodfellow, Ian
I whakaputaina: (2016)