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The complete machine learning cource with Python /
"Inside the course, you'll learn how to: set up a Python development environment correctly; gain complete machine learning toolsets to tackle most real-world problems; understand the various regression, classification and other ml algorithms performance metrics such as R-squared, MSE, accu...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Packt Publishing,
2018.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o c | ||
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| 008 | 190110s2018 xx 000 o vleng d | ||
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| 037 | |a CL0501000016 |b Safari Books Online | ||
| 050 | 4 | |a QA76.73.P98 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Ng, Anthony, |e speaker. | |
| 245 | 1 | 4 | |a The complete machine learning cource with Python / |c Anthony NG, Rob Percival. |
| 264 | 1 | |a [Place of publication not identified] : |b Packt Publishing, |c 2018. | |
| 300 | |a 1 online resource (1 streaming video file (18 hr., 22 min., 46 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
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| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a video file | ||
| 500 | |a Title from resource description page (Safari, viewed January 8, 2019). | ||
| 511 | 0 | |a Presenter, Anthony NG. | |
| 520 | |a "Inside the course, you'll learn how to: set up a Python development environment correctly; gain complete machine learning toolsets to tackle most real-world problems; understand the various regression, classification and other ml algorithms performance metrics such as R-squared, MSE, accuracy, confusion matrix, prevision, recall, etc. and when to use them; combine multiple models with by bagging, boosting or stacking; make use to unsupervised Machine Learning (ML) algorithms such as Hierarchical clustering, k-means clustering etc. to understand your data; develop in Jupyter (IPython) notebook, Spyder and various IDE; communicate visually and effectively with Matplotlib and Seaborn; engineer new features to improve algorithm predictions; make use of train/test, K-fold and Stratified K-fold cross-validation to select the correct model and predict model perform with unseen data; use SVM for handwriting recognition, and classification problems in general; use decision trees to predict staff attrition; apply the association rule to retail shopping datasets."--Resource description page | ||
| 542 | |f Packt Publishing |g 2018 | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 655 | 4 | |a Electronic videos. | |
| 700 | 1 | |a Percival, Rob, |e author. | |
| 776 | 0 | |z 1789953723 | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781789953725/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||