Cargando…
Supervised classification algorithms. Part 3, Introduction to real-world machine learning /
"Classification is the sub-field of machine learning encountered more frequently than any other in data science applications. There are many different classification techniques and this course explains some of the most important ones, including algorithms such as logistic regression, k-nearest...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly,
[2017]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cgm a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_on1004747377 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o c | ||
| 007 | cr cna|||||||| | ||
| 007 | vz czazuu | ||
| 008 | 170926s2017 xx 118 o vleng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d TOH |d OCLCF |d OCLCQ |d OCLCO | ||
| 035 | |a (OCoLC)1004747377 | ||
| 037 | |a CL0500000893 |b Safari Books Online | ||
| 050 | 4 | |a Q325.5 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Staglianò, Alessandra, |e speaker. | |
| 245 | 1 | 0 | |a Supervised classification algorithms. |n Part 3, |p Introduction to real-world machine learning / |c with Alessandra Staglianò, Angie Ma, and Gary Willis. |
| 246 | 3 | 0 | |a Introduction to real-world machine learning |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly, |c [2017] | |
| 300 | |a 1 online resource (1 streaming video file (1 hr., 57 min., 35 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 511 | 0 | |a Presenter, Alessandra Staglianò, Angie Ma, and Gary Willis. | |
| 500 | |a Title from title screen (viewed September 21, 2017). | ||
| 500 | |a Date of publication taken from resource description page. | ||
| 500 | |a "Part 3 of 6." | ||
| 520 | |a "Classification is the sub-field of machine learning encountered more frequently than any other in data science applications. There are many different classification techniques and this course explains some of the most important ones, including algorithms such as logistic regression, k-nearest neighbors (k-NN), decision trees, ensemble models like random forests, and support vector machines. The course also covers Naive Bayes classifiers and in so doing, covers Bayes' theorem and basic Bayesian inference, both of which are widely used in training many machine learning algorithms. A basic knowledge of algebra is required. A solid understanding of differential calculus will be necessary for logistic regression, Support Vector Machines and Bayesian Inference."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Regression analysis. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 6 | |a Analyse de régression. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a Artificial intelligence. |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Regression analysis. |2 fast |0 (OCoLC)fst01432090 | |
| 700 | 1 | |a Ma, Angie, |e speaker. | |
| 700 | 1 | |a Willis, Gary, |e speaker. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781492023937/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||