machine learning time series di lazzeri francesca (37 risultati)

Condizione: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

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.

Condizione: New.

Paperback or Softback. Condizione: New. Machine Learning for Time Series Forecasting with Python 0.85. Book.

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.

Condizione: New.

Condizione: new.

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.

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

Condizione: As New. Unread book in perfect condition.

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.

Condizione: New. In.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. SUPER FAST SHIPPING.

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

Paperback. Condizione: Brand New. 206 pages. 9.00x7.25x0.50 inches. In Stock.

Condizione: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

Taschenbuch. Condizione: Neu. Neuware -Learn how to apply the principles of machine learning to time series modeling with this indispensable resourceMachine 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 forecastingMachine 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.

PF. Condizione: New.

Taschenbuch. Condizione: Neu. Neuware -Learn how to apply the principles of machine learning to time series modeling with this indispensable resourceMachine 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 forecastingMachine 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. 224 pp. Englisch.

Taschenbuch. Condizione: Neu. Neuware -Learn how to apply the principles of machine learning to time series modeling with this indispensable resourceMachine 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 forecastingMachine 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. 224 pp. Englisch.

Condizione: New.

Paperback. Condizione: Brand New. 206 pages. 9.00x7.25x0.50 inches. In Stock.

Paperback. Condizione: New.

Taschenbuch. Condizione: Neu. Neuware - Learn how to apply the principles of machine learning to time series modeling with this indispensable resourceMachine 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 forecastingMachine 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.

Taschenbuch. Condizione: Neu. Neuware -Learn how to apply the principles of machine learning to time series modeling with this indispensable resourceMachine 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 forecastingMachine 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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 224 pp. Englisch.

Paperback. Condizione: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.