Modern Time Series Forecasting with Python
Explore industry-ready time series forecasting using modern machine learning and deep learning
Manu Joseph
BIRMINGHAM—MUMBAI
Modern Time Series Forecasting with Python
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ISBN 978-1-80324-680-2
Contributors
About the author
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 has developed an open source library—PyTorch Tabular—which makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son.
About the reviewers
Dr. Julien Siebert is currently working as a researcher at the Fraunhofer Institute for Experimental Software Engineering (IESE), in Kaiserslautern, Germany. He studied engineering sciences and AI and obtained a PhD in computer science on the topic of modeling and simulation of complex systems. After several years of research both in computer science and theoretical physics, Dr. Julien Siebert worked as a data scientist for an e-commerce fashion company. Since 2018, he has been working at the intersection between software engineering and data science.
Gerzson David Boros is the owner and CEO of Data Science Europe and a senior data scientist who has been involved in data science for more than 10 years. He has an MSc and is a candidate for an MBA. In the last 5 years, he and his team have made business proposals for 100 different executives and worked on more than 30 different projects on the topic of data science and artificial intelligence. His motto is “Social responsibility is also achievable with the help of data.”