Francesca lazzeri (89 risultati)

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Paperback. Condizione: Good. Learn how to apply the principles of machine learning to time series modeling with this indispensable resource  Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.   Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting.  Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to:  Understand time series forecasting concepts, such as stationarity, horizon,  trend, and seasonality  Prepare time series data for modeling Evaluate time series forecasting models? performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting  Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts.  Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.…

Paperback. Condizione: Very Good. Learn how to apply the principles of machine learning to time series modeling with this indispensable resource  Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.   Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting.  Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to:  Understand time series forecasting concepts, such as stationarity, horizon,  trend, and seasonality  Prepare time series data for modeling Evaluate time series forecasting models? performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting  Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts.  Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.…

Paperback. Condizione: Very Good. Learn how to apply the principles of machine learning to time series modeling with this indispensable resource  Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.   Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting.  Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to:  Understand time series forecasting concepts, such as stationarity, horizon,  trend, and seasonality  Prepare time series data for modeling Evaluate time series forecasting models? performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting  Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts.  Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.…

Paperback. Condizione: Good. Learn how to apply the principles of machine learning to time series modeling with this indispensable resource  Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.   Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting.  Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to:  Understand time series forecasting concepts, such as stationarity, horizon,  trend, and seasonality  Prepare time series data for modeling Evaluate time series forecasting models? performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting  Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts.  Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.…

Soft cover. Condizione: New. ISBN:9789363866249,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

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Paperback or Softback. Condizione: New. Machine Learning for Time Series Forecasting with Python. Book.

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Paperback. Condizione: New. Learn how to apply the principles of machine learning to time series modeling with this indispensable resource  Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling.   Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting.  Written for readers who have little to no experience in time series forecasting or machine learning, the book comprehensively covers all the topics necessary to:  Understand time series forecasting concepts, such as stationarity, horizon,  trend, and seasonality  Prepare time series data for modeling Evaluate time series forecasting models' performance and accuracy Understand when to use neural networks instead of traditional time series models in time series forecasting  Machine Learning for Time Series Forecasting with Python is full real-world examples, resources and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts.  Perfect for entry-level data scientists, business analysts, developers, and researchers, this book is an invaluable and indispensable guide to the fundamental and advanced concepts of machine learning applied to time series modeling.…

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Condizione: As New. Unread book in perfect condition.

Condizione: New. 2021. 1st Edition. Paperback. . . . . .

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PF. Condizione: New.

Condizione: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition.Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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Paperback. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. …

Condizione: New. 2021. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.