Machine learning design patterns : solutions to common challenges in data preparation, model building, and MLOps

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Bibliografiske detaljer
Hovedforfatter:	Lakshmanan Valliappa
Andre forfattere:	Robinson Sara Munn Michael
Format:	Ukendt
Sprog:	engelsk
Udgivet:	Mumbai Shroff Publishers & Distributors Pvt. Ltd. 2021
Fag:	Machine learning > Big data
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Lignende værker

Introducing MLOPs
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Udgivet: (2021)

Practical MLOPS:Operationalizing Machine Learning Models
af: Gift, N
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Big Data and Machine Learning in Quantitative Investment
af: Guida Tony
Udgivet: (2019)

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

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

Machine Learning Design Patterns: Solution to Common Challenges in Data Preparation
af: Lakshmanan, V
Udgivet: (2021)

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

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

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

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

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

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

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

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

Optimization For Machine Learning
af: Sra, Suvrit, Nowozin Sebastian & Wright, Stephen J.
Udgivet: (2012)

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

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

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

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

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

Chemistry of synthetic dyes volume 6
af: Venkataraman, K
Udgivet: (2009)

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

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

Machine Learning with PySpark : With Natural Language Processing and Recommender Systems
af: Singh Pramod
Udgivet: (2021)

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

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

Machine Learning With PyTorch and Scikit-Learn
af: Raschka, Sebastian, Liu Yuxi(Hayden), Mirjalili, Vahid
Udgivet: (2022)

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

Understanding Machine Learning From Theory to Algorithms
af: Shalev-Shwartz, Shai & Ben-David, Shai
Udgivet: (2024)

Hands on Machine Learning with Scikit- Learn,Keras & Tensor Flow
af: Aurelien Geron
Udgivet: (2025)

Principles of Big Data: Preparing, Sharing, and Analyzing complex Information
af: Berman, Jules J.
Udgivet: (2014)

Building Machine Learning Powered Applications
af: Ameisen,E
Udgivet: (2021)

Practical Machine Learning for Computer Vision: End to End Machine Learning for Images
af: Lakshmanan, V
Udgivet: (2021)

Big Data, Data Mining and Machine Learning
af: Dean, Jared
Udgivet: (2014)

Opinion Mining of Unstructured Data Using Machine Learning
af: Sharma Ruchi
Udgivet: (2025)

Machine Learning for Edge Computing:Frame Works, Patterns and Best Practices
af: Singh, A
Udgivet: (2023)

Google Machine Learning and Generative AI For Solutions Architects
af: Kavanagh, Kieran
Udgivet: (2024)

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

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

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