Introduction machine learning analysis (34 Ergebnisse)

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

hardcover. Zustand: Very Good. Cover and edges may have some wear.

Paperback. Zustand: Brand New. 104 pages. 9.00x6.00x0.24 inches. In Stock.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

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Zustand: New. In English.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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hardcover. Zustand: Sehr gut. 386 Seiten; 9781584886822.2 Gewicht in Gramm: 1.

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Zustand: New. In English.

Paperback. Zustand: Brand New. 244 pages. 9.25x6.10x0.71 inches. In Stock.

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Paperback. Zustand: Brand New. 212 pages. 9.00x7.00x0.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods.Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning.- Explore machine learning models, algorithms, and data training- Understand machine learning algorithms for supervised and unsupervised cases- Examine statistical concepts for designing data for use in models- Dive into linear regression models used in business and science- Use single-layer and multilayer neural networks for calculating outcomes- Look at how tree-based models work, including popular decision trees- Get a comprehensive view of the machine learning ecosystem in R- Explore the powerhouse of tools available in R's caret package.…

Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New. pp. 384.

Paperback. Zustand: Brand New. 244 pages. 9.25x6.10x0.71 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.…

Zustand: New.

paperback. Zustand: New. Language:Chinese.Paperback.Pub Date:2022-05-01 Pages:224 Publisher:Machinery Industry Press This book is aimed at beginners. It comprehensively introduces the basic methods of machine learning. and expounds the mathematical principles step by step. so that readers can know the basic methods of machine learning. Yes. and then know why. Combined with application scenarios. the book lists a large number of programming examples to help readers carry out hands-on practice. theory and practice comp.…

Zustand: New.

Taschenbuch. Zustand: Neu. Introduction to Machine Learning with R | Rigorous Mathematical Analysis | Burger Scott | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2018 | O'Reilly Media | EAN 9781491976449 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Introduction to Python in Earth Science Data Analysis | From Descriptive Statistics to Machine Learning | Maurizio Petrelli | Taschenbuch | xv | Englisch | 2022 | Springer | EAN 9783030780579 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.…