Mark fenner (54 Ergebnisse)

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Paperback. Zustand: Very Good. The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning conceptsClassify examples with classifiers, and quantify examples with regressorsRealistically assess performance of machine learning systemsUse feature engineering to smooth rough data into useful formsChain multiple components into one system and tune its performanceApply machine learning techniques to images and textConnect the core concepts to neural networks and graphical modelsLeverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.…

Zustand: New. pp. 504.

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Paperback. Zustand: Brand New. 29 pages. 9.00x6.00x0.07 inches. In Stock.

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Paperback. Zustand: New. The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning conceptsClassify examples with classifiers, and quantify examples with regressorsRealistically assess performance of machine learning systemsUse feature engineering to smooth rough data into useful formsChain multiple components into one system and tune its performanceApply machine learning techniques to images and textConnect the core concepts to neural networks and graphical modelsLeverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.…

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Paperback. Zustand: New. The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning. Mark begins by discussing machine learning and what it can do; introducing key mathematical and computational topics in an approachable manner; and walking you through the first steps in building, training, and evaluating learning systems. Step by step, you'll fill out the components of a practical learning system, broaden your toolbox, and explore some of the field's most sophisticated and exciting techniques. Whether you're a student, analyst, scientist, or hobbyist, this guide's insights will be applicable to every learning system you ever build or use. Understand machine learning algorithms, models, and core machine learning conceptsClassify examples with classifiers, and quantify examples with regressorsRealistically assess performance of machine learning systemsUse feature engineering to smooth rough data into useful formsChain multiple components into one system and tune its performanceApply machine learning techniques to images and textConnect the core concepts to neural networks and graphical modelsLeverage the Python scikit-learn library and other powerful tools Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.…

Paperback. Zustand: New. Humans make mistakes. Many of us lose career ascendency or risk destroying our institutions by doubling down on or ignoring outcomes of our own poor decisions.Good leaders learn and teach from their errors. Professions are strengthened. Institutions thrive. Careers grow.Through real-life stories that focus on senior/board leadership from multiple walks of life, and brief discussions of significant attributes, readers will be challenged to diagnose and turn missteps into positive growth experiences.The authors of this book have had extensive careers in public and private, for-profit and not-for-profit settings, and in independent and government-sponsored consulting, development, academic, and clinical environments. Without having any single leadership paradigm to push, they raise questions about outcomes for institutions that are affected and individual career paths.Their cautionary tales ask readers to think through "next steps" or prevent the need to get there; hence, this is an ideal extra-assignment book in graduate management courses and for managers seeking to work their way up toward higher leadership roles. Board members also can learn from its non-industry-specific target readership.…

Zustand: New.

Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New. pp. 592.

Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.

Zustand: New. pp. 592.

Paperback. Zustand: Brand New. 420 pages. 9.00x7.00x1.25 inches. In Stock.

Zustand: New. 2018. 01st Edition. Paperback. . . . . .

Paperback. Zustand: Brand New. 160 pages. 9.00x6.00x0.91 inches. In Stock.

Zustand: New. 2018. 01st Edition. Paperback. . . . . . Books ship from the US and Ireland.