Essentials of Python for Artificial Intelligence and Machine Learning 2024th Edition

Essentials of Python for Artificial Intelligence and Machine Learning 2024th Edition book cover

Essentials of Python for Artificial Intelligence and Machine Learning 2024th Edition

Author(s): Pramod Gupta (Author), Anupam Bagchi (Author)

  • Publisher: Springer
  • Publication Date: 15 Feb. 2024
  • Edition: 2024th
  • Language: English
  • Print length: 528 pages
  • ISBN-10: 3031437241
  • ISBN-13: 9783031437243

Book Description

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.

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From the Back Cover

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 infrastructure
  • Provides single-source on Python for machine learning and artificial intelligence, from basics to real implementation
  • Includes sufficient coverage of Python libraries, frameworks, and tools to develop complex data science applications


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