Mark fenner (28 Ergebnisse)

Paperback. Zustand: 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.…

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Lamoureaux, Mikki (illustrator).

Paperback. Zustand: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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.

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

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

Zustand: New.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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

Zustand: New. pp. 592.

Zustand: New. In English.

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

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

Zustand: New. In English.

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

Zustand: New.

Zustand: NEW.

Taschenbuch. Zustand: Neu. Neuware - The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with PythonMachine 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 concepts- Classify examples with classifiers, and quantify examples with regressors- Realistically assess performance of machine learning systems- Use feature engineering to smooth rough data into useful forms- Chain multiple components into one system and tune its performance- Apply machine learning techniques to images and text- Connect the core concepts to neural networks and graphical models- Leverage the Python scikit-learn library and other powerful toolsRegister your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.…

Zustand: New. &Uumlber den AutorDr. Mark Fenner, owner of Fenner Training and Consulting, LLC, has taught computing and mathematics to diverse adult audiences since 1999, and holds a PhD in computer science. His research has included design, implemen.

Taschenbuch. Zustand: Neu. Machine Learning with Python for Everyone | Mark Fenner | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Pearson Education | EAN 9780134845623 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Zustand: New.

Zustand: gut. 2001. Spectrum 8 - The Best in Contemporary Fantastic Art In englischer Sprache. pages.

Zustand: New.

Zustand: New. In English.

Softcover. Zustand: gut. 2002. Spectrum 9 - The Best in Contemporary Fantastic Art - Artbook In englischer Sprache. pages.

Hardcover. Zustand: Brand New. 160 pages. 9.00x6.00x0.55 inches. In Stock.