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Machine Learning Algorithms Using Scikit and TensorFlow Environments

Über Machine Learning Algorithms Using Scikit and TensorFlow Environments

Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9781668485316
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 480
  • Veröffentlicht:
  • 29. Dezember 2023
  • Abmessungen:
  • 221x30x286 mm.
  • Gewicht:
  • 1459 g.
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Beschreibung von Machine Learning Algorithms Using Scikit and TensorFlow Environments

Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.

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