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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 |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2014.
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| Colección: | Community experience distilled.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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. |
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| Notas: | Includes index. |
| Descripción Física: | 1 online resource (iv, 155 pages) : illustrations |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781783289011 1783289015 1306902878 9781306902878 |