Introduction to machine learning with Python : a guide for data scientists /

"Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learnin...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Müller, Andreas C. (Author), Guido, Sarah (Author)
Format: Electronic eBook
Language:Inglés
Published: Sebastopol, CA : O'Reilly Media, Inc, [2017]
Edition:First edition.
Subjects:
Machine learning.
Python (Computer program language)
Data mining.
Data Mining
Apprentissage automatique.
Python (Langage de programmation)
Exploration de données (Informatique)
COMPUTERS > Programming Languages > Python.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Introduction
  • Supervised learning
  • Unsupervised learning and preprocessing
  • Representing data and engineering features
  • Model evaluation and improvement
  • Algorithm chains and pipelines
  • Working with text data
  • Wrapping up.

Similar Items