Applied Machine Learning

"This comprehensive textbook explores the theoretical underpinnings of learning and equips readers with the knowledge needed to apply powerful machine learning techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, acura...

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Bibliografiske detaljer
Hovedforfatter:	Gopal, M.
Format:	Bog
Sprog:	engelsk
Udgivet:	Chennai McGraw Hill Education (India) Pvt. Ltd. 2018
Fag:	Machine Learning Mechanical Engineering
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Lignende værker

THE QUEST FOR PARADISE : THE RETURN TO THE KINGDOM OF FANTASY ( REPLACED BOOK ON 15th APRIL 2014 )
af: STILTON, GERONIMO
Udgivet: (2010)

Applied Machine Learining
af: Gopal M.
Udgivet: (2018)

Machine Learning
af: Chopra, Rajiv
Udgivet: (2025)

MACHINE LEARNING
af: MURPHY KEVIN P
Udgivet: (2012)

Machine Learning Interviews
af: Chang, Susan Shu
Udgivet: (2023)

Before Machine Learning
af: Brasil, Jorge
Udgivet: (2024)

Machine Learning in Production
af: Kelleher, Andrew & Kelleher, Adam
Udgivet: (2024)

MACHINE LEARNING IN ACTION
af: HARRINGTON PETER
Udgivet: (2015)

INTRODUCTION TO MACHINE LEARNING
af: ALPAYDIN ETHEM
Udgivet: (2013)

Machine Learning For Absolute Beginners
af: Theobald, Oliver
Udgivet: (2017)

Continuous Machine Learning With Kubeflow
af: Choudhury, Aniruddha
Udgivet: (2024)

Handbook of Machine Learning Vol 2
af: Marwala, Tshilidzi & Leke, Collins Achepsah
Udgivet: (2018)

Physician Outreach Optimization with Machine Learning
af: Raste, Satej Tushar
Udgivet: (2024)

FUNDAMENTALS OF MACHINE LEARNING FOR PREDICTIVE DATA ANALYTICS
af: KELLEHER,JHON.D
Udgivet: (2020)

Kubeflow For Machine Learning From Lab to Production
af: Grant, Trevor & Others
Udgivet: (2021)

MACHINE LEARNING METHODS FOR COMMONSENSE REASONING PROCESSES
af: NAIDENOVA, XENIA
Udgivet: (2010)

Machine Learning with R
af: Lantz,Brett
Udgivet: (2019)

Machine Learning for Hackers
af: Conway, Drew; White, Myles John
Udgivet: (2012)

Pattern Recognition and Machine Learning
af: Bishop, C M
Udgivet: (2009)

Machine Learning Using R : A Comprehensive Guide to Machine Learning
af: Ramasubramaniam, Karthik
Udgivet: (2017)

HANDS- ON MACHINE LEARNING WITH SCIKIT -LEARN,KERAS,AND TENSORFLOW:CONCEPTS,TOOLS,AND TECHNIQUES TO BUILD INTELLIGENT SYSTEMS
af: GERON AURELIEN
Udgivet: (2021)

Real-World Machine Learning
af: Brink, Henrik
Udgivet: (2017)

Introduction to Machine Learning With Python
af: Muller Andreas C
Udgivet: (2019)

Real-World Machine Learning
af: Brink, Henrik
Udgivet: (2017)

MACHINE LEARNING FOR CYBERSECURITY COOKBOOK
af: TSUKERMAN EMMANUEL
Udgivet: (2019)

Building machine learning pipelines : automating model life cycles with TensorFlow
af: Hapke Hannes
Udgivet: (2020)

Hands-On Machine Learning With Scikit-Learn, Keras & TensorFlow
af: Geron, Aurelien
Udgivet: (2023)

HANDS -ON MACHINE LEARNING WITH SCIKIT- LEARN, KERAS, AND TENSOR FLOW
af: GERON AURELIEN
Udgivet: (2019)

Applied Machine Learning and AI for Engineers
af: Prosise, Jeff
Udgivet: (2022)

Machine Learning
af: Mitchell, T M
Udgivet: (2013)

Python Machine Learning
af: Raschka,S
Udgivet: (2019)

Adversarial Machine Learning
af: Vorobeychik,Y
Udgivet: (2022)

Machine learning for marketing
af: Mamitsuka,Hiroshi
Udgivet: (2019)

Practical MLOPS:Operationalizing Machine Learning Models
af: Gift, N
Udgivet: (2021)

Machine Learning using Python
af: Pradhan,M
Udgivet: (2019)

Machine Learning using Python
af: Pradhan,M
Udgivet: (2019)

THEORY OF MACHINES AND MECHANISMS IN SI UNITS
af: BALLANEY P L
Udgivet: (2005)

THEORY OF MACHINES AND MECHANISMS IN SI UNITS
af: BALLANEY P L
Udgivet: (2003)

MECHANICS OF MACHINES: ELEMENTARY THEORY AND EXAMPLES
af: STEPHENS R C
Udgivet: (2005)

MECHANICS OF MACHINES: ELEMENTARY THEORY AND EXAMPLES
af: HANNAH J
Udgivet: (1999)