135 rezultatov
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Machine Learning(2014) MARSLAND, STEPHEN (MASSEY UNIVERSITY, PALMERSTON NORTH, NEW ZEALAND)Vezava: Trda138,24 € -
Machine Learning: Concepts, Tools And Data Visualization(2021) KANG, MINSOO (EULJI UNIVERSITY, KOREA),CHOI, EUNSOO (ALL4LAND INC., KOREA)Vezava: Mehka73,83 € -
Embedded Analytics(2023) FARMER, DONALD,HORBURY, JIMThe adoption of data analytics has remained remarkably static - perhaps reaching no more than thirty percent of potential users. This book explores the most important techniques for taking that adoption further: embedding analytics into the workflow of ouVezava: Mehka61,94 € -
Building Knowledge Graphs(2023) BARRASA, JESUS,WEBBER, JIMUsing hands-on examples, this practical book shows data scientists and data practitioners how to build their own custom knowledge graphs. Authors Jesus Barrasa and Jim Webber from Neo4j illustrate patterns commonly used for building knowledge graphs thatVezava: Mehka92,91 € -
Practical Linear Algebra for Data Science(2022) COHEN, MIKE XThis practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applicationVezava: Mehka82,59 € -
Practicing Trustworthy Machine Learning(2023) PRUKSACHATKUN, YADA,MCATEER, MATTHEW,MAJUMDAR, SUBHABRATAWith the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. This guide provides a practical starting point to help development teams produce models thaVezava: Mehka82,59 € -
Machine Learning Design Patterns(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 theVezava: Mehka68,39 € -
Scaling Machine Learning with Spark(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--Vezava: Mehka82,59 € -
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.Vezava: Mehka68,39 € -
Probabilistic Graphical Models(2009) KOLLER, DAPHNE (STANFORD UNIVERSITY),FRIEDMAN, NIR (HEBREW UNIVERSITY)Vezava: Trda154,35 € -
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)Vezava: Mehka174,80 € -
Deep Learning on Edge Computing Devices(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)Vezava: Mehka205,20 €
