Practical Machine Learning with Python : A Problem-Solver's Guide to Building Real-World Intelligent Systems

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sarkar, Dipanjan. author (author), Bali, Raghav. author, Sharma, Tushar. author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2018.
Edición:1st ed. 2018.
Materias:
Artificial intelligence.
Python (Computer program language).
Open source software.
Computer programming.
Artificial Intelligence.
Python.
Open Source.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630443106719
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.

Ejemplares similares