Essentials Python Artificial Intelligence by Gupta Pramod (14 results)

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  • Language: English

    Published by Springer, 2024

    3031437241 / 9783031437243

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  • Language: English

    Published by Springer, 2024

    3031437241 / 9783031437243

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    Condition: New. 2024th edition NO-PA16APR2015-KAP.

  • Language: English

    Published by Springer, 2024

    3031437241 / 9783031437243

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  • Language: English

    Published by Springer, 2024

    3031437241 / 9783031437243

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    hardcover. Condition: Sehr gut. 528 Seiten; 9783031437243.2 Gewicht in Gramm: 2.

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    hardcover. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.

  • Language: English

    Published by Springer, 2025

    3031437276 / 9783031437274

    • Softcover

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python's advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. This includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in theindustry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.

  • Language: English

    Published by Springer, 2024

    3031437241 / 9783031437243

    • Hardcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python's advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. This includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in theindustry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.

  • Language: English

    Published by Springer, 2025

    3031437276 / 9783031437274

    • Softcover

    Seller: Buchpark, Trebbin, GermanyBuchpark

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    Condition: Hervorragend. Zustand: Hervorragend | Seiten: 532 | Sprache: Englisch | Produktart: Bücher | This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python's advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. This includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in the industry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.Includes several real examples of how to write and deploy code, including on a cloud infrastructureProvides single-source on Python for machine learning and artificial intelligence, from basics to real implementationIncludes sufficient coverage of Python libraries, frameworks, and tools to develop complex data science applications.

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    Condition: gut. 2024. Essentials of Python for Artificial Intelligence and Machine Learning (Synthesis Lectures on Engineering, Science, and Technology) In deutscher Sprache. pages.

  • Language: English

    Published by Springer, 2025

    3031437276 / 9783031437274

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  • Language: English

    Published by Springer, 2024

    3031437241 / 9783031437243

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  • Language: English

    Published by Springer, Berlin|Springer Nature Switzerland|Springer, 2023

    3031437241 / 9783031437243

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python s advanced module features and apply them in probability, statistical testing, signal p.

  • Language: English

    Published by Springer, Springer International Publishing Feb 2025, 2025

    3031437276 / 9783031437274

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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python's advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. This includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in the industry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 532 pp. Englisch.

  • Language: English

    Published by Springer, Springer International Publishing Feb 2024, 2024

    3031437241 / 9783031437243

    • Hardcover
    • Print on Demand

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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    Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python¿s advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. This includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in theindustry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 532 pp. Englisch.