Mathematics for Machine Learning
Našli sme na Heureka.sk
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Nájdených 127 záznamov (zobrazujem 41 až 60)
Cena vrátane DPH
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Machine Learning and Artificial IntelligenceThe new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theo... |
70,25 € |
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Geometry of Deep Learning: A Signal Processing Perspective (Ye,Jong Chul)(Brožovaná)The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is... |
36,26 € |
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Exercises in Applied MathematicsThis text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connections. It explores essential tools from linear algebra, elementary functional analysis, and proba... |
110,21 € |
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Computational Methods for Deep Learning (Wei Qi Yan)(Pevná)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 intelligence. It adopts the methodology from g... |
66,68 € |
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Introduction to Deep LearningThis textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the m... |
55,25 € |
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Hands-On Mathematics for Deep Learning (Jay Dawani)(Brožovaná)A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey Features Understand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networks Learn the mathematical concepts needed to... |
26,90 € |
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Introduction to Deep LearningThis textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the m... |
55,25 € |
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Introduction to Deep Learning (Sandro Skansi)(Brožovaná)This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the current state-of-the-art. The text explores the most popular algorithms and architectures in a simple and intuitive style, explaining the m... |
53,52 € |
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UNDERSTANDING DEEP LEARNINGAn authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, access... |
96,72 € |
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Deep LearningLooking for one central source where you can learn key findings on machine learning? Deep Learning provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases. Authors Adam Gibson and Josh Patters... |
41,06 € |
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Exercises in Applied Mathematics (Daniel Alpay)(Pevná)This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connections. It explores essential tools from linear algebra, elementary functional analysis, and proba... |
106,75 € |
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Deep Learning (Adam Gibson,Josh Patterson)(Brožovaná)Looking for one central source where you can learn key findings on machine learning? Deep Learning provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases. Authors Adam Gibson and Josh Patters... |
39,77 € |
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UNDERSTANDING DEEP LEARNINGAn authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, access... |
96,72 € |
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Exercises in Applied MathematicsThis text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connections. It explores essential tools from linear algebra, elementary functional analysis, and proba... |
110,21 € |
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Introduction to Deep Learning Using R (Taweh Beysolow II)(Brožovaná)Understand deep learning, the nuances of its different models, and where these models can be applied.The abundance of data and demand for superior products/services have driven the development of advanced computer science techniques, among them image and speech recognition. Introduction to Deep Lear... |
58,39 € |
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Deep LearningLooking for one central source where you can learn key findings on machine learning? Deep Learning provides developers and data scientists with the most practical information available on the subject, including deep learning theory, best practices, and use cases. Authors Adam Gibson and Josh Patters... |
41,06 € |
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UNDERSTANDING DEEP LEARNING (PRINCE SIMON J D)(Pevná)An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, access... |
93,69 € |
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Exercises in Applied Mathematics (Daniel Alpay)(Brožovaná)This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connections. It explores essential tools from linear algebra, elementary functional analysis, and proba... |
77,70 € |
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Mastering Drone Technology with AIDESCRIPTION"Mastering Drone Technology with AI" is a detailed guide to the transformational power of AI in drone technology. It investigates how AI is transforming numerous elements of drone operations, from navigation and flight automation to data analysis and decision-making processes. The book gi... |
35,12 € |
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Forecasting Time Series Data with Prophet - Second Edition (Greg Rafferty)(Brožovaná)Create and improve fully automated forecasts for time series data with strong seasonal effects, holidays, and additional regressors using PythonPurchase of the print or Kindle book includes a free PDF eBookKey Features:Explore Prophet, the open source forecasting tool developed at Meta, to improve y... |
38,99 € |
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