Modern Time Series Forecasting with Python : Explore Industry-Ready Time Series Forecasting Using Modern Machine Learning and Deep Learning / Manu Joseph.

Format:

Book

Author/Creator:

Joseph, Manu, author.

Language:

English

Subjects (All):

Time-series analysis--Data processing.

Time-series analysis.

Forecasting--Data processing.

Forecasting.

Python (Computer program language).

Machine learning.

Physical Description:

1 online resource (402 pages) : illustrations

Edition:

First edition.

Place of Publication:

Birmingham, England : Packt Publishing, [2022]

Biography/History:

Joseph Manu: Manu Joseph is a self-made data scientist with more than a decade of experience working with many Fortune 500 companies enabling digital and AI transformations, specifically in machine learning-based demand forecasting. He is considered an expert, thought leader, and strong voice in the world of time series forecasting. Currently, Manu leads applied research at Thoucentric, where he advances research by bringing cutting-edge AI technologies to the industry. He is also an active open-source contributor and developed an open-source libraryPyTorch Tabularwhich makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son

Summary:

Modern Time Series Forecasting with Python is a timely book that goes beyond popular classical time series techniques such as ARIMA and exponential smoothing and embraces modern high-performant techniques like machine learning. You'll discover tested tips and tricks to advance your skillset and make you industry-ready in time series forecasting.

Contents:

Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781803232041

1803232048

OCLC:

1352234376