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Learning Tensorflow.js(2021) LABORDE, GANTIn this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, stuVezava: Mehka57,71 €
LABORDE, GANT
Learning Tensorflow.js
In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, stu
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TensorFlow 2 Pocket Reference(2021) TUNG, K. C.This easy-to-use reference for Tensorflow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusVezava: Mehka33,34 €
TUNG, K. C.
TensorFlow 2 Pocket Reference
This easy-to-use reference for Tensorflow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focus
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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 €
TREVEIL, MARK,OMONT, NICOLAS,STENAC, CLEMENT,LEFEVRE, KENJI,PHAN, DU,ZENTICI, JOACHIM,LAVOILLOTTE, ADRIEN,MIYAZAKI, MAKOTO,HEIDMANN, LYNN
Introducing MLOps
This 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.
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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 €
BUDUMA, NITHIN,BUDUMA, NIKHIL,PAPA, JOE
Fundamentals of Deep Learning
This 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-i
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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 €
FREGLY, CHRIS,BARTH, ANTJE
Data Science on AWS
This 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.
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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 €
ALBRECHT, JENS,RAMACHANDRAN, SIDHARTH,WINKLER, CHRISTIAN
Blueprints for Text Analytics using Python
This 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-wor
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Beginning Deep Learning with TensorFlow(2022) LONG, LIANGQU,ZENG, XIANGMINGIncorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras.Vezava: Mehka83,95 €
LONG, LIANGQU,ZENG, XIANGMING
Beginning Deep Learning with TensorFlow
Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras.
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Machine Learning and AI for Healthcare - Big Data for Improved Health Outcomes(2020) PANESAR, ARJUNVezava: Mehka76,31 €
PANESAR, ARJUN
Machine Learning and AI for Healthcare - Big Data for Improved Health Outcomes
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Deep Learning Projects Using TensorFlow 2 - Neural Network Development with Python and Keras(2020) SILAPARASETTY, VINITAWork through engaging and practical deep learning projects using TensorFlow 2.0.Vezava: Mehka99,21 €
SILAPARASETTY, VINITA
Deep Learning Projects Using TensorFlow 2 - Neural Network Development with Python and Keras
Work through engaging and practical deep learning projects using TensorFlow 2.0.
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Machine Learning Applications Using Python - Cases Studies from Healthcare, Retail, and Finance(2018) MATHUR, PUNEETVezava: Mehka99,21 €
MATHUR, PUNEET
Machine Learning Applications Using Python - Cases Studies from Healthcare, Retail, and Finance
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Machine Learning: Concepts, Tools And Data Visualization(2021) KANG, MINSOO (EULJI UNIVERSITY, KOREA),CHOI, EUNSOO (ALL4LAND INC., KOREA)Vezava: Mehka71,56 €
KANG, MINSOO (EULJI UNIVERSITY, KOREA),CHOI, EUNSOO (ALL4LAND INC., KOREA)
Machine Learning: Concepts, Tools And Data Visualization
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Automated Design of Machine Learning and Search Algorithms(2021)Also covered are automated generation of constructive and perturbative low-level heuristics, selection hyper-heuristics for automated design, automated design of deep-learning approaches using hyper-heuristics, genetic programming hyper-heuristics with trVezava: Trda115,16 €
Automated Design of Machine Learning and Search Algorithms
Also covered are automated generation of constructive and perturbative low-level heuristics, selection hyper-heuristics for automated design, automated design of deep-learning approaches using hyper-heuristics, genetic programming hyper-heuristics with tr
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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 €
FARMER, DONALD,HORBURY, JIM
Embedded Analytics
The 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 ou
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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 €
BARRASA, JESUS,WEBBER, JIM
Building Knowledge Graphs
Using 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 that
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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 €
COHEN, MIKE X
Practical Linear Algebra for Data Science
This 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 application
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Practicing Trustworthy Machine Learning - Consistent, Transparent, and Fair AI Pipelines(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 €
PRUKSACHATKUN, YADA,MCATEER, MATTHEW,MAJUMDAR, SUBHABRATA
Practicing Trustworthy Machine Learning - Consistent, Transparent, and Fair AI Pipelines
With 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 tha
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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.Vezava: Mehka67,97 €
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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