paperback. Zustand: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
paperback. Zustand: 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!
Anbieter: Mahler Books, PFLUGERVILLE, TX, USA
Paperback. Zustand: Very Good. This book is in very good condition; no remainder marks. It does have some cover shelfwear. Inside pages are clean. ; 220 pages.
Anbieter: HPB-Diamond, Dallas, TX, USA
paperback. Zustand: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 33,66
Anzahl: 15 verfügbar
In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Toscana Books, AUSTIN, TX, USA
Paperback. Zustand: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 43,31
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: New. Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, the book features tests with Python's Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you're a software engineer or business analyst interested in data science, this book will help you: Reference real-world examples to test each algorithm through engaging, hands-on exercises Apply test-driven development (TDD) to write and run tests before you start coding Explore techniques for improving your machine-learning models with data extraction and feature development Watch out for the risks of machine learning, such as underfitting or overfitting data Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms.
Paperback. Zustand: New. Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, the book features tests with Python's Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you're a software engineer or business analyst interested in data science, this book will help you: Reference real-world examples to test each algorithm through engaging, hands-on exercises Apply test-driven development (TDD) to write and run tests before you start coding Explore techniques for improving your machine-learning models with data extraction and feature development Watch out for the risks of machine learning, such as underfitting or overfitting data Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms.
Anbieter: California Books, Miami, FL, USA
Zustand: New.
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 33,47
Anzahl: 20 verfügbar
In den WarenkorbPaperback. Zustand: New. New copy - Usually dispatched within 4 working days.
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Thoughtful Machine Learning with Python: A Test-Driven Approach. Book.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 42,24
Anzahl: 20 verfügbar
In den WarenkorbZustand: New.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 42,24
Anzahl: 20 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 58,02
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 250 pages. 9.00x6.75x0.25 inches. In Stock.
EUR 34,94
Anzahl: Mehr als 20 verfügbar
In den WarenkorbKartoniert / Broschiert. Zustand: New. Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.Über den Autor.
EUR 45,80
Anzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New. Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, the book features tests with Python's Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you're a software engineer or business analyst interested in data science, this book will help you: Reference real-world examples to test each algorithm through engaging, hands-on exercises Apply test-driven development (TDD) to write and run tests before you start coding Explore techniques for improving your machine-learning models with data extraction and feature development Watch out for the risks of machine learning, such as underfitting or overfitting data Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.
EUR 40,05
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: New. Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext. Featuring graphs and highlighted code examples throughout, the book features tests with Python's Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you're a software engineer or business analyst interested in data science, this book will help you: Reference real-world examples to test each algorithm through engaging, hands-on exercises Apply test-driven development (TDD) to write and run tests before you start coding Explore techniques for improving your machine-learning models with data extraction and feature development Watch out for the risks of machine learning, such as underfitting or overfitting data Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 47,10
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 250 pages. 9.00x6.75x0.25 inches. In Stock. This item is printed on demand.