Matlab Machine Learning by Paluszek Michael (23 results)

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  • Language: English

    Published by Apress, 2019

    1484239156 / 9781484239155

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    Condition: 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.

  • Language: English

    Published by Apress, 2019

    1484239156 / 9781484239155

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    Condition: Very Good. Very Good condition. 2nd edition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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  • Language: English

    Published by Apress 3/2/2024, 2024

    1484298454 / 9781484298459

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    Paperback or Softback. Condition: New. MATLAB Machine Learning Recipes: A Problem-Solution Approach. Book.

  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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    Seller: California Books, Miami, FL, U.S.A.California Books

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  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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  • Language: English

    Published by Apress, 2016

    1484222490 / 9781484222492

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    paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

  • Language: English

    Published by APress, Berkley, 2024

    1484298454 / 9781484298459

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    Paperback. Condition: new. Paperback. Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution.This book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.What You Will LearnWrite code for machine learning, adaptive control, and estimation using MATLABUse MATLAB graphics and visualization tools for machine learningBecome familiar with neural netsBuild expert systemsUnderstand adaptive controlGain knowledge of Kalman FiltersWho This Book Is ForSoftware engineers, control engineers, university faculty, undergraduate and graduate students, hobbyists. user level Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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    Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.

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    Condition: New. 2024. Paperback. . . . . .

  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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    Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

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  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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    Condition: New. 2024. Paperback. . . . . . Books ship from the US and Ireland.

  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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    Paperback. Condition: Brand New. 3rd edition. 470 pages. 10.01x7.01x0.91 inches. In Stock.

  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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    Condition: New. In English.

  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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    Seller: Books Puddle, New York, NY, U.S.A.Books Puddle

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    Condition: New. 3rd ed. edition NO-PA16APR2015-KAP.

  • Language: English

    Published by APress, Berkley, 2024

    1484298454 / 9781484298459

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    Paperback. Condition: new. Paperback. Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution.This book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.What You Will LearnWrite code for machine learning, adaptive control, and estimation using MATLABUse MATLAB graphics and visualization tools for machine learningBecome familiar with neural netsBuild expert systemsUnderstand adaptive controlGain knowledge of Kalman FiltersWho This Book Is ForSoftware engineers, control engineers, university faculty, undergraduate and graduate students, hobbyists. user level Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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    Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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    Seller: preigu, Osnabrück, Germanypreigu

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    Taschenbuch. Condition: Neu. MATLAB Machine Learning Recipes | A Problem-Solution Approach | Michael Paluszek (u. a.) | Taschenbuch | xxiii | Englisch | 2024 | Apress | EAN 9781484298459 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Language: English

    Published by Apress Feb 2024, 2024

    1484298454 / 9781484298459

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution.This book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.What You Will LearnWrite code for machine learning, adaptive control, and estimation using MATLABUse MATLAB graphics and visualization tools for machine learningBecome familiar with neural netsBuild expert systemsUnderstand adaptive controlGain knowledge of Kalman FiltersWho This Book Is ForSoftware engineers, control engineers, university faculty, undergraduate and graduate students, hobbyists. 445 pp. Englisch.

  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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    Condition: New. PRINT ON DEMAND.

  • Language: English

    Published by Springer, Berlin|Apress, 2024

    1484298454 / 9781484298459

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executa.

  • Language: English

    Published by Apress, 2024

    1484298454 / 9781484298459

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution.This book has something for everyone interested in machine learning. It also has material that will allow those with an interest in other technology areas to see how machine learning and MATLAB can help them solve problems in their areas of expertise. The chapter on data representation and MATLAB graphics includes new data types and additional graphics. Chapters on fuzzy logic, simple neural nets, and autonomous driving have new examples added. And there is a new chapter on spacecraft attitude determination using neural nets. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow you to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more.What You Will LearnWrite code for machine learning, adaptive control, and estimation using MATLABUse MATLAB graphics and visualization tools for machine learningBecome familiar with neural netsBuild expert systemsUnderstand adaptive controlGain knowledge of Kalman FiltersWho This Book Is ForSoftware engineers, control engineers, university faculty, undergraduate and graduate students, hobbyists.

  • Language: English

    Published by Apress, Apress Mär 2024, 2024

    1484298454 / 9781484298459

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can easily look up a particular problem and follow the steps in the solution.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 472 pp. Englisch.