147 rezultatov
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Algorithms for a New World - When Big Data and Mathematical Models Meet(2022) QUARTERONI, ALFIOCovid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios. Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalVezava: Mehka33,06 €
QUARTERONI, ALFIO
Algorithms for a New World - When Big Data and Mathematical Models Meet
Covid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios. Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfal
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An Intuitive Exploration of Artificial Intelligence - Theory and Applications of Deep Learning(2022) DUBE, SIMANTVezava: Mehka83,95 €
DUBE, SIMANT
An Intuitive Exploration of Artificial Intelligence - Theory and Applications of Deep Learning
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Explainable AI with Python(2021) GIANFAGNA, LEONIDA,DI CECCO, ANTONIOModel-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are “opaque.” Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for theVezava: Mehka91,58 €
GIANFAGNA, LEONIDA,DI CECCO, ANTONIO
Explainable AI with Python
Model-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are “opaque.” Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the
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Computational Methods for Deep Learning(2020) YAN, WEI QIIntegrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine iVezava: Trda83,95 €
YAN, WEI QI
Computational Methods for Deep Learning
Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine i
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Foundations of Probabilistic Programming(2020)This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to graVezava: Trda94,97 €
Foundations of Probabilistic Programming
This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing. Comprehensive survey chapters make the material accessible to gra
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Essentials of Pattern Recognition(2020) WU, JIANXIN (NANJING UNIVERSITY, CHINA)Introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. The text focuses on a relatively small number of core concepts with an abundance of illustrations and examples and provVezava: Trda93,27 €
WU, JIANXIN (NANJING UNIVERSITY, CHINA)
Essentials of Pattern Recognition
Introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. The text focuses on a relatively small number of core concepts with an abundance of illustrations and examples and prov
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Machine Learning in Asset Pricing(2021) NAGEL, STEFANA groundbreaking, authoritative introduction to how machine learning can be applied to asset pricingInvestors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such dataVezava: Trda64,88 €
NAGEL, STEFAN
Machine Learning in Asset Pricing
A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricingInvestors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data
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Azure AI Services at Scale for Cloud, Mobile, and Edge(2022) BISSON, SIMON,BRANSCOMBE, MARY,HODER, CHRIS,RAMAN, ANANTake advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book'Vezava: Mehka67,97 €
BISSON, SIMON,BRANSCOMBE, MARY,HODER, CHRIS,RAMAN, ANAN
Azure AI Services at Scale for Cloud, Mobile, and Edge
Take advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book'
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Scaling up Machine Learning(2018)In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a vaVezava: Mehka76,31 €
Scaling up Machine Learning
In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a va
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Introduction to Natural Language Processing(2019) EISENSTEIN, JACOB (ASSISTANT PROFESSOR, GOOGLE)Vezava: Trda103,80 €
EISENSTEIN, JACOB (ASSISTANT PROFESSOR, GOOGLE)
Introduction to Natural Language Processing
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Machine Learning with Neural Networks(2021) MEHLIG, BERNHARD (GOTEBORGS UNIVERSITET, SWEDEN)This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fundamental physical and mathematical principles of the topic are described alongside current applications in sVezava: Trda73,49 €
MEHLIG, BERNHARD (GOTEBORGS UNIVERSITET, SWEDEN)
Machine Learning with Neural Networks
This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fundamental physical and mathematical principles of the topic are described alongside current applications in s
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Managing Machine Learning Projects(2023) THOMPSON, SIMONFor anyone interested in better management of machine learning projects from idea to production. Managing Machine Learning Projects is a comprehensive guide that does not require any technical skills. This edition will help you discover battle-tested dataVezava: Trda73,13 €
THOMPSON, SIMON
Managing Machine Learning Projects
For anyone interested in better management of machine learning projects from idea to production. Managing Machine Learning Projects is a comprehensive guide that does not require any technical skills. This edition will help you discover battle-tested data
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Machine Learning with Python Cookbook(2023) GALLATIN, KYLE,ALBON, CHRISThis practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work.Vezava: Mehka82,08 €
GALLATIN, KYLE,ALBON, CHRIS
Machine Learning with Python Cookbook
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work.
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Implementing MLOps in the Enterprise(2023) HAVIV, YARON,GIFT, NOAHThis practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moviVezava: Mehka82,08 €
HAVIV, YARON,GIFT, NOAH
Implementing MLOps in the Enterprise
This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from movi
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Low-Code AI(2023) STRIPLING, GWENDOLYNE,ABEL, MICHAELThis hands-on guide presents three problem-focused ways to learn ML: no code using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. You'll learn key ML concepts by using real-world datasets with realistic problems.Vezava: Mehka82,08 €
STRIPLING, GWENDOLYNE,ABEL, MICHAEL
Low-Code AI
This hands-on guide presents three problem-focused ways to learn ML: no code using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. You'll learn key ML concepts by using real-world datasets with realistic problems.
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Deep Reinforcement Learning(2022) PLAAT, ASKEDeep reinforcement learning has attracted considerable attention recently. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects’ desired behavior can beVezava: Mehka68,68 €
PLAAT, ASKE
Deep Reinforcement Learning
Deep reinforcement learning has attracted considerable attention recently. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects’ desired behavior can be
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Applied Machine Learning and AI for Engineers(2022) PROSISE, JEFFWhile many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems.Vezava: Mehka82,08 €
PROSISE, JEFF
Applied Machine Learning and AI for Engineers
While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems.
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Probabilistic Machine Learning for Finance and Investing(2023) KANUNGO, DEEPAK K.By moving away from flawed statistical methodologies, you'll move toward an intuitive view of probability as a mathematically rigorous statistical framework that quantifies uncertainty holistically and successfully. This book shows you how.Vezava: Mehka82,08 €
KANUNGO, DEEPAK K.
Probabilistic Machine Learning for Finance and Investing
By moving away from flawed statistical methodologies, you'll move toward an intuitive view of probability as a mathematically rigorous statistical framework that quantifies uncertainty holistically and successfully. This book shows you how.
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Practical Simulations for Machine Learning(2022) BUTTFIELD-ADDISON, PARIS,BUTTFIELD-ADDISON, MARS,NUGENT, TIM,MANNING, JONWith this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulationsVezava: Mehka67,97 €
BUTTFIELD-ADDISON, PARIS,BUTTFIELD-ADDISON, MARS,NUGENT, TIM,MANNING, JON
Practical Simulations for Machine Learning
With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations
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