Applied Predictive Modeling
by Max Kuhn, Kjell Johnson
Published: 2/8/2013
Why read?
Ready to move beyond textbook examples to real-world machine learning? This practical guide shows you how to handle the messy reality of data science. Through hands-on examples and proven techniques, you'll learn how to build models that work with real data, not just toy problems. Essential for data scientists who want to deliver results, not just run algorithms.
Recommended by:
- Stanford University
- Harvard University
Pages
600 pages
Language
English
ISBN
978-1461468486
ASIN
1461468485
See Also

An Introduction to Statistical Learning
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Aurélien Géron

Spark – The Definitive Guide: Big data processing made simple
Bill Chambers, Matei Zaharia

Data Pipelines Pocket Reference
James Densmore