Python machine learning cookbook over 100 recipes to progress from smart data analytics to deep
"Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch Key Features Learn and implement machine learning algorithms in a variety of real-life scenarios Cover a range of tasks catering to supervised, u...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England ; Mumbai :
Packt
2019.
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| Edición: | Second edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630423206719 |
Tabla de Contenidos:
- The Realm of Supervised Learning
- Constructing a Classifier
- Predictive Modeling
- Clustering with Unsupervised Learning
- Visualizing Data
- Building Recommendation Engines
- Analyzing Text Data
- Speech Recognition
- Dissecting Time Series and Sequential Data
- Analyzing Image Content
- Biometric Face Recognition
- Reinforcement Learning Techniques
- Deep Neural Networks
- Unsupervised Representation Learning
- Automated Machine Learning and Transfer Learning
- Unlocking Production Issues.
