Practical machine learning with Python : a problem-solver's guide to building real-world intelligent systems /
Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to becom...
Clasificación: | Libro Electrónico |
---|---|
Autores principales: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
[United States] :
Apress,
2018.
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Chapter 1: Machine Learning Basics
- Chapter 2: The Python Machine Learning Ecosystem
- Chapter 3: Processing, Wrangling and Visualizing Data.-Chapter 4: Feature Engineering and Selection
- Chapter 5: Building, Tuning and Deploying Models.-Chapter 6: Analyzing Bike Sharing Trends
- Chapter 7: Analyzing Movie Reviews Sentiment
- Chapter 8: Customer Segmentation and Effective Cross Selling
- Chapter 9: Analyzing Wine Types and Quality
- Chapter 10: Analyzing Music Trends and Recommendations
- Chapter 11: Forecasting Stock and Commodity Prices
- Chapter 12: Deep Learning for Computer Vision.