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Building probabilistic graphical models with Python : solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications /
This is a short, practical guide that allows data scientists to understand the concepts of Graphical models and enables them to try them out using small Python code snippets, without being too mathematically complicated. If you are a data scientist who knows about machine learning and want to enhanc...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2014.
|
| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Karkera, Kiran R., |e author. | |
| 245 | 1 | 0 | |a Building probabilistic graphical models with Python : |b solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications / |c Kiran R Karkera. |
| 260 | |a Birmingham : |b Packt Publishing, |c 2014. | ||
| 300 | |a 1 online resource (iv, 155 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 1 | |a Community experience distilled | |
| 500 | |a Includes index. | ||
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Probability -- Directed graphical models -- Undirected graphical models -- Structure learning -- Parameter learning -- Exact inference using graphical models -- Approximate inference methods. | |
| 520 | |a This is a short, practical guide that allows data scientists to understand the concepts of Graphical models and enables them to try them out using small Python code snippets, without being too mathematically complicated. If you are a data scientist who knows about machine learning and want to enhance your knowledge of graphical models, such as Bayes network, in order to use them to solve real-world problems using Python libraries, this book is for you. This book is intended for those who have some Python and machine learning experience, or are exploring the machine learning field. | ||
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Graphical modeling (Statistics) | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Modèles graphiques (Statistique) | |
| 650 | 7 | |a COMPUTERS |x Programming Languages |x Python. |2 bisacsh | |
| 650 | 7 | |a Graphical modeling (Statistics) |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Karkera, Kiran R. |t Building probabilistic graphical models with Python. |d Birmingham : Packt Publishing, 2014 |z 1306902878 |
| 830 | 0 | |a Community experience distilled. | |
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