Machine Learning Algorithms Using Scikit and TensorFlow Environments |
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| Editor:
| Baby Maruthi, Puvvadi
Prasad, Smrity
Tyagi, Amit Kumar |
| Series title: | Advances in Systems Analysis, Software Engineering, and High Performance Computing Ser. |
| ISBN: | 978-1-6684-8533-0 |
| Publication Date: | Dec 2023 |
| Publisher: | IGI Global
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| Imprint: | Engineering Science Reference |
| Book Format: | Ebook |
| List Price: | USD $270.00 |
Book Description:
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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...
More DescriptionMachine 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.