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Machine learning 101 with Scikit-Learn and StatsModels /
"Machine Learning is one of the fundamental skills you need to become a data scientist. It's the steppingstone that will help you understand deep learning and modern data analysis techniques. In this course, you'll explore the three fundamental machine learning topics - linear regress...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Packt Publishing,
2019.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 005 | 20231017213018.0 | ||
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| 035 | |a (OCoLC)1141018051 | ||
| 037 | |a CL0501000098 |b Safari Books Online | ||
| 050 | 4 | |a Q325.5 | |
| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Machine learning 101 with Scikit-Learn and StatsModels / |c 365 Careers. |
| 246 | 3 | |a Machine learning one hundred and one with Scikit-Learn and StatsModels | |
| 264 | 1 | |a [Place of publication not identified] : |b Packt Publishing, |c 2019. | |
| 300 | |a 1 online resource (1 streaming video file (5 hr., 13 min., 25 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
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| 337 | |a video |b v |2 rdamedia | ||
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| 500 | |a Title from resource description page (Safari, viewed February 18, 2020). | ||
| 520 | |a "Machine Learning is one of the fundamental skills you need to become a data scientist. It's the steppingstone that will help you understand deep learning and modern data analysis techniques. In this course, you'll explore the three fundamental machine learning topics - linear regression, logistic regression, and cluster analysis. Even neural networks geeks (like us) can't help but admit that it's these three simple methods that data science revolves around. So, in this course, we will make the otherwise complex subject matter easy to understand and apply in practice. This course supports statistics theory with practical application of these quantitative methods in Python to help you develop skills in the context of data science. We've developed this course with not one but two machine learning libraries: StatsModels and sklearn. You'll be eager to complete this course and get ready to become a successful data scientist!"--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Regression analysis. | |
| 650 | 0 | |a Statistics |x Data processing. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Analyse de régression. | |
| 650 | 6 | |a Statistique |x Informatique. | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260 | |
| 650 | 7 | |a Regression analysis. |2 fast |0 (OCoLC)fst01432090 | |
| 650 | 7 | |a Statistics |x Data processing. |2 fast |0 (OCoLC)fst01132113 | |
| 655 | 4 | |a Electronic videos. | |
| 710 | 2 | |a 365 Careers, |e issuing body. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781838987671/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||