Skip to Main Content
Machine Learning Quick Reference
book

Machine Learning Quick Reference

by Rahul Kumar
January 2019
Intermediate to advanced content levelIntermediate to advanced
294 pages
6h 43m
English
Packt Publishing
Content preview from Machine Learning Quick Reference

Granger causality

In time series, we typically use univariate data. That is, we use a single series to predict its future values. Let's say that we are studying Google's stock price data, and we are asked to forecast the future values of stock prices. In this case, we will need historic data of Google's stock prices. Based on that, we will make predictions.

However, at times, we need multiple time series to make a forecast. But why is it that we need multiple time series? Any guesses?

The following graph shows Google's stock price data:

The answer is that we need to understand and explore the relationship between multiple time series as this ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Mining and Machine Learning Applications

Data Mining and Machine Learning Applications

Rohit Raja, Kapil Kumar Nagwanshi, Sandeep Kumar, K. Ramya Laxmi
Advanced Machine Learning with R

Advanced Machine Learning with R

Cory Lesmeister, Dr. Sunil Kumar Chinnamgari
Natural Language Processing and Computational Linguistics

Natural Language Processing and Computational Linguistics

Brian Sacash, Bhargav Srinivasa-Desikan, Reddy Anil Kumar
TensorFlow Machine Learning Projects

TensorFlow Machine Learning Projects

Ankit Jain, Dr. Amita Kapoor

Publisher Resources

ISBN: 9781788830577Supplemental Content