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Mastering Data Science and Machine Learning Fundamentals /
Master the basic concepts of data science and machine learning and learn how to implement these concepts successfully in the real-world About This Video Learn the fundamentals of data science, machine learning, and data mining Learn interesting techniques to evaluate a machine learning model Discove...
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| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
Packt Publishing,
2021.
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| Edición: | 1st edition. |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| Sumario: | Master the basic concepts of data science and machine learning and learn how to implement these concepts successfully in the real-world About This Video Learn the fundamentals of data science, machine learning, and data mining Learn interesting techniques to evaluate a machine learning model Discover the best practices to solve real-world problems using machine learning In Detail Machine learning is the key to development in many areas, such as IT, security, marketing, automation, and even medicine. Without machine learning, it is impossible to build intelligent applications and devices, such as Alexa, Siri, and Google Assistant. This course will help to get familiar with data science and machine learning. The course starts with an introduction to data science, explaining different terms associated with it. You will also become familiar with machine learning and data science modeling and explore the key differences between model parameters and hyperparameters. Next, you will become familiar with the concepts of machine learning models, such as linear regression, decision trees, random forests, neural networks, and clustering techniques. Towards the end, you will learn how to evaluate machine learning models and learn the best practices to succeed in your data scientist role. By the end of this course, you will have a solid understanding of data science and machine learning fundamentals. |
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| Descripción Física: | 1 online resource (1 video file, approximately 1 hr., 48 min.) |
| ISBN: | 9781801074704 1801074704 |