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Machine Learning Design Patterns - Solutions to Common Challenges in Data Preparation, Model Building, and MLOps(2020) LAKSHMANAN, VALLIAPPAThe design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the67,97 €
LAKSHMANAN, VALLIAPPA
Machine Learning Design Patterns - Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the
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Designing Machine Learning Systems(2022) HUYEN, CHIPIn this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.67,97 €
HUYEN, CHIP
Designing Machine Learning Systems
In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.
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Scaling Machine Learning with Spark - Distributed ML with MLlib, TensorFlow, and PyTorch(2023) POLAK, ADIWith this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--82,08 €
POLAK, ADI
Scaling Machine Learning with Spark - Distributed ML with MLlib, TensorFlow, and PyTorch
With this practical guide, author Adi Polak introduces data and ML practitioners to creative solutions that supersede today's traditional methods. You'll learn a more holistic approach that takes you beyond specific requirements and organizational goals--
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Graph-Powered Analytics and Machine Learning with TigerGraph(2023) LEE, PH.D., VICTOR,NGUYEN, PHUC KIEN,CHANG, XINYUThis practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.67,97 €
LEE, PH.D., VICTOR,NGUYEN, PHUC KIEN,CHANG, XINYU
Graph-Powered Analytics and Machine Learning with TigerGraph
This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.
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Probabilistic Graphical Models(2009) KOLLER, DAPHNE (STANFORD UNIVERSITY),FRIEDMAN, NIR (HEBREW UNIVERSITY)149,94 €
KOLLER, DAPHNE (STANFORD UNIVERSITY),FRIEDMAN, NIR (HEBREW UNIVERSITY)
Probabilistic Graphical Models
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Data Science, Analytics and Machine Learning with R(2023) FAVERO, LUIZ PAULO (ECONOMICS, BUSINESS ADMINISTRATION AND ACCOUNTING COLLEGE OF THE UNIVERSITY OF SAO PAULO, BRAZIL/ FACULDADE DE ECONOMIA, ADMINISTRACAO E CONTABILIDADE, UNIVERSIDADE DE SAO PAULO, BRAZIL),BELFIORE, PATRICIA (ASSOCIATE PROFESSOR, FEDERAL UNIVERSITY OF ABC (UFABC)/ FEDERAL UNIVERSITY OF ABC, BRAZIL),DE FREITAS SOUZA, RAFAEL (ECONOMICS, BUSINESS ADMINISTRATION AND ACCOUNTING COLLEGE OF RIBEIRAO PRETO, UNIVERSITY OF SAO PAULO, BRAZIL)158,48 €
FAVERO, LUIZ PAULO (ECONOMICS, BUSINESS ADMINISTRATION AND ACCOUNTING COLLEGE OF THE UNIVERSITY OF SAO PAULO, BRAZIL/ FACULDADE DE ECONOMIA, ADMINISTRACAO E CONTABILIDADE, UNIVERSIDADE DE SAO PAULO, BRAZIL),BELFIORE, PATRICIA (ASSOCIATE PROFESSOR, FEDERAL UNIVERSITY OF ABC (UFABC)/ FEDERAL UNIVERSITY OF ABC, BRAZIL),DE FREITAS SOUZA, RAFAEL (ECONOMICS, BUSINESS ADMINISTRATION AND ACCOUNTING COLLEGE OF RIBEIRAO PRETO, UNIVERSITY OF SAO PAULO, BRAZIL)
Data Science, Analytics and Machine Learning with R
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Adversarial Robustness for Machine Learning(2022) CHEN, PIN-YU (PRINCIPAL RESEARCH SCIENTIST, IBM THOMAS J. WATSON RESEARCH CENTER, YORKTOWN HEIGHTS, NY, USA),HSIEH, CHO-JUI (ASSISTANT PROFESSOR, UCLA COMPUTER SCIENCE DEPARTMENT, USA)117,07 €
CHEN, PIN-YU (PRINCIPAL RESEARCH SCIENTIST, IBM THOMAS J. WATSON RESEARCH CENTER, YORKTOWN HEIGHTS, NY, USA),HSIEH, CHO-JUI (ASSISTANT PROFESSOR, UCLA COMPUTER SCIENCE DEPARTMENT, USA)
Adversarial Robustness for Machine Learning
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Deep Learning on Edge Computing Devices - Design Challenges of Algorithm and Architecture(2022) ZHOU, XICHUAN (PROFESSOR, SCHOOL OF MICROELECTRONICS AND COMMUNICATION ENGINEERING, CHONGQING UNIVERSITY, CHONGQING, CHINA; VICE DEAN, SCHOOL OF MICROELECTRONICS AND COMMUNICATION ENGINEERING, CHONGQING UNIVERSITY, CHONGQING, CHINA),LIU, HAIJUN (RESEARCH ASSISTANT, SCHOOL OF MICROELECTRONICS AND COMMUNICATION ENGINEERING, CHONGQING UNIVERSITY, CHONGQING, CHINA),SHI, CONG (RESEARCH PROFESSOR, SCHOOL OF MICROELECTRONICS AND COMMUNICATION ENGINEERING, CHONGQING UNIVERSITY, CHONGQING, CHINA),LIU, JI (HEAD, AI PLATFORM DEPARTMENT, SEATTLE AI LAB, KWAI INC., SEATTLE, WASHINGTON, UNITED STATES OF AMERICA; DIRECTOR, SEATTLE AI LAB, KWAI INC., SEATTLE, WASHINGTON, USA)186,05 €
ZHOU, XICHUAN (PROFESSOR, SCHOOL OF MICROELECTRONICS AND COMMUNICATION ENGINEERING, CHONGQING UNIVERSITY, CHONGQING, CHINA; VICE DEAN, SCHOOL OF MICROELECTRONICS AND COMMUNICATION ENGINEERING, CHONGQING UNIVERSITY, CHONGQING, CHINA),LIU, HAIJUN (RESEARCH ASSISTANT, SCHOOL OF MICROELECTRONICS AND COMMUNICATION ENGINEERING, CHONGQING UNIVERSITY, CHONGQING, CHINA),SHI, CONG (RESEARCH PROFESSOR, SCHOOL OF MICROELECTRONICS AND COMMUNICATION ENGINEERING, CHONGQING UNIVERSITY, CHONGQING, CHINA),LIU, JI (HEAD, AI PLATFORM DEPARTMENT, SEATTLE AI LAB, KWAI INC., SEATTLE, WASHINGTON, UNITED STATES OF AMERICA; DIRECTOR, SEATTLE AI LAB, KWAI INC., SEATTLE, WASHINGTON, USA)
Deep Learning on Edge Computing Devices - Design Challenges of Algorithm and Architecture
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