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Machine learning for absolute beginners /
"If you've ever wanted the Jetsons to be real, well we aren't that far off from a future like that. If you've ever chatted with automated robots, then you've definitely interacted with machine learning. From self-driving cars to AI bots, machine learning is slowly spreading...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Packt Publishing,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 0 | 0 | |a Machine learning for absolute beginners / |c Eduonix Learning Solutions. |
| 246 | 1 | |i Title on title screen: |a Introduction to machine learning for absolute beginners | |
| 264 | 1 | |a [Place of publication not identified] : |b Packt Publishing, |c 2018. | |
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| 520 | |a "If you've ever wanted the Jetsons to be real, well we aren't that far off from a future like that. If you've ever chatted with automated robots, then you've definitely interacted with machine learning. From self-driving cars to AI bots, machine learning is slowly spreading its reach and making our devices smarter. Artificial intelligence is the future of computers, where your devices will be able to decide what is right for you. Machine learning is the core for having a futuristic reality where robot maids and robodogs exist. Machine learning includes the algorithms that allow the computers to think and respond, as well as manipulate the data depending on the scenario that's placed before them. So, if you've ever wanted to play a role in the future of technology development, then here's your chance to get started with machine learning. Because machine learning is complex and tough, we've designed a course to help break it down into more simple concepts that are easier to understand. It also requires you to have some experience with Python principles which will be required when we put the algorithms to test in actual real-world Python projects. The course covers a number of different machine learning algorithms such as supervised learning, unsupervised learning, reinforced learning and even neural networks. From there you will learn how to incorporate these algorithms into actual projects so you can see how they work in action! But, that's not all. At the end of each unit, the course includes quizzes to help you evaluate your learning on the subject."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Application software |x Development. | |
| 650 | 0 | |a Computer algorithms. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 6 | |a Logiciels d'application |x Développement. | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a algorithms. |2 aat | |
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| 650 | 7 | |a Computer algorithms |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
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