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Practical Linear Algebra for Data Science
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Paperback. Condition: New. If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications.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 applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.Ideal for practitioners and students using computer technology and algorithms, this book introduces you to:The interpretations and applications of vectors and matricesMatrix arithmetic (various multiplications and transformations)Independence, rank, and inversesImportant decompositions used in applied linear algebra (including LU and QR)Eigendecomposition and singular value decompositionApplications including least-squares model fitting and principal components analysis.
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Practical Linear Algebra for Data Science : From Core Concepts to Applications Using Python
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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
Published by O'Reilly Media, Inc, USA, 2022
ISBN 10: 1098120612 ISBN 13: 9781098120610
Language: English
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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
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Practical Linear Algebra for Data Science
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Add to basketPaperback. Condition: New. If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications.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 applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.Ideal for practitioners and students using computer technology and algorithms, this book introduces you to:The interpretations and applications of vectors and matricesMatrix arithmetic (various multiplications and transformations)Independence, rank, and inversesImportant decompositions used in applied linear algebra (including LU and QR)Eigendecomposition and singular value decompositionApplications including least-squares model fitting and principal components analysis.
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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python (Paperback or Softback)
Published by O'Reilly Media 10/18/2022, 2022
ISBN 10: 1098120612 ISBN 13: 9781098120610
Language: English
Paperback or Softback. Condition: New. Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python. Book.
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Practical Linear Algebra for Data Science : From Core Concepts to Applications Using Python
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Add to basketPaperback. Condition: New. If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications.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 applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.Ideal for practitioners and students using computer technology and algorithms, this book introduces you to:The interpretations and applications of vectors and matricesMatrix arithmetic (various multiplications and transformations)Independence, rank, and inversesImportant decompositions used in applied linear algebra (including LU and QR)Eigendecomposition and singular value decompositionApplications including least-squares model fitting and principal components analysis.
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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
Published by Oreilly & Associates Inc, 2023
ISBN 10: 1098120612 ISBN 13: 9781098120610
Language: English
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Add to basketPaperback. Condition: Brand New. 300 pages. 9.19x7.00x0.69 inches. In Stock.
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Add to basketCondition: New. Über den AutorMike is an associate professor of neuroscience at the Donders Institute (Radboud University Medical Centre) in the Netherlands. He has over 20 years experience teaching scientific coding, data analysis, statistics, and.
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Practical Linear Algebra for Data Science : From Core Concepts to Applications Using Python
Published by O'reilly Media Okt 2022, 2022
ISBN 10: 1098120612 ISBN 13: 9781098120610
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - 'If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. 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 applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.'--Publisher marketing.
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US$ 81.11
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Add to basketPaperback. Condition: New. If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications.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 applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms.Ideal for practitioners and students using computer technology and algorithms, this book introduces you to:The interpretations and applications of vectors and matricesMatrix arithmetic (various multiplications and transformations)Independence, rank, and inversesImportant decompositions used in applied linear algebra (including LU and QR)Eigendecomposition and singular value decompositionApplications including least-squares model fitting and principal components analysis.
-
Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
Published by O'Reilly Media, Inc, USA, 2022
ISBN 10: 1098120612 ISBN 13: 9781098120610
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 69.91
Convert currencyUS$ 11.79 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209.
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Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python
Published by Oreilly & Associates Inc, 2023
ISBN 10: 1098120612 ISBN 13: 9781098120610
Language: English
US$ 83.40
Convert currencyUS$ 33.34 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 300 pages. 9.19x7.00x0.69 inches. In Stock. This item is printed on demand.
