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Quantum Machine Learning: An Applied Approach

intermediate-Advanced user level;...

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Quantum Machine Learning: An Applied Approach

Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine;

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Quantum Machine Learning

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine;

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Quantum Machine Learning with Python

Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use;

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Quantum Machine Learning

Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning;

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Machine Learning with Quantum Computers

This book offers an introduction into quantum machine learning research, covering approaches that range from near-term to fault-tolerant;

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Principles Of Quantum Artificial Intelligence

This unique compendium presents an introduction to problem solving, information theory, statistical machine learning, stochastic methods;

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Quantum Machine Learning with Python

Quickly scale up to Quantum computing and Quantum machine learning foundations and related mathematics and expose them to different use;

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Hands-On Machine Learning with R

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular;

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Machine Learning

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject;

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Machine Learning

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject;

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Machine Learning Applications Using Python

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;

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Applied Machine Learning for Smart Data Analysis

Features Follows an algorithmic approach for data analysis in machine learning Introduces machine learning methods in applications Address;

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Applied Analytics through Case Studies Using SAS and R

Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning;

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Python Machine Learning Case Studies

hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines;

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Algorithms in Machine Learning Paradigms

, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence;

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Algorithms in Machine Learning Paradigms

, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence;

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Dancing with Python

analysis, plotting data, machine learning techniques, and quantum circuits. Key Features Create quantum circuits and algorithms using Qiskit;

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Machine Learning

Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area;

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Machine Learning in Healthcare

Machine Learning in Healthcare discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. It;

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Applied Machine Learning

Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book;

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Machine Learning for Finance

learning and how to put them to work in financial industries Clear explanation and expert discussion of how machine learning works, with an;

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How to Create Machine Superintelligence

methodologies for computation: classical and quantum computing, and how the principles of operation of those can be applied to building;

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Statistical and Machine Learning Approaches for Network Analysis

weighted graph kernel Statistical and Machine Learning Approaches for Network Analysis is an excellent supplemental text for graduate-level, cross;

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Machine Learning Meets Quantum Physics

, recently there have been increased efforts to accelerate quantum simulations with machine learning (ML). This emerging interdisciplinary community;

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Applied Machine Learning

techniques to solve challenging real-world problems. Applied Machine Learning shows, step by step, how to conceptualize problems, accurately;

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Machine Learning

AN INTRODUCTION TO MACHINE LEARNING THAT INCLUDES THE FUNDAMENTAL TECHNIQUES, METHODS, AND APPLICATIONS PROSE Award Finalist 2019;

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