143 rezultatov
-
Introducing MLOps(2020) TREVEIL, MARK,OMONT, NICOLAS,STENAC, CLEMENT,LEFEVRE, KENJI,PHAN, DU,ZENTICI, JOACHIM,LAVOILLOTTE, ADRIEN,MIYAZAKI, MAKOTO,HEIDMANN, LYNNThis book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time.Vezava: Mehka67,97 € -
Fundamentals of Deep Learning(2022) BUDUMA, NITHIN,BUDUMA, NIKHIL,PAPA, JOEThis updated second edition describes the intuition behind deep learning innovations without jargon or complexity. By the end of this book, Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-iVezava: Mehka82,08 € -
Data Science on AWS(2021) FREGLY, CHRIS,BARTH, ANTJEThis guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance.Vezava: Mehka82,08 € -
Blueprints for Text Analytics using Python(2020) ALBRECHT, JENS,RAMACHANDRAN, SIDHARTH,WINKLER, CHRISTIANThis practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-worVezava: Mehka82,08 € -
Building Machine Learning Powered Applications(2020) AMEISEN, EMMANUELLearn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product.Vezava: Mehka67,97 € -
Deep Learning Projects Using TensorFlow 2(2020) SILAPARASETTY, VINITAWork through engaging and practical deep learning projects using TensorFlow 2.0.Vezava: Mehka99,21 € -
-
-
-
-
Machine Learning: Concepts, Tools And Data Visualization(2021) KANG, MINSOO (EULJI UNIVERSITY, KOREA),CHOI, EUNSOO (ALL4LAND INC., KOREA)Vezava: Mehka71,56 € -
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: Mehka61,56 € -
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: Mehka92,35 € -
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: Mehka82,08 € -
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: Mehka82,08 € -
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: Mehka67,97 € -
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.Vezava: Mehka67,97 € -
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: Mehka67,97 € -
-
