Time series data can be found in almost every domain, ranging from the medical field to
manufacturing and wireless communication. Generating realistic and useful exemplars and …

Learn by doing with this user-friendly introduction to time series data analysis in R. This
book explores the intricacies of managing and cleaning time series data of different sizes …

Temporal and spatiotemporal data are commonly encountered in a variety of areas of
applications. We are faced with data coming from numerous sensors, data feeds, recordings …

Get better insights from time-series data and become proficient in model performance
analysis Key FeaturesExplore popular and modern machine learning methods including the …

Despite the rise of other, more cutting-edge approaches to data analysis (machine learning,
the Internet of things, etc.), time-series analysis remains a prominent statistical tool. Simply …

The field of statistics not only affects all areas of scientific activity, but also many other
matters such as public policy. It is branching rapidly into so many different subjects that a …

Time series analysis and forecasting are important techniques for decision-making in many
domains. They are typically evaluated on given sets of time series that have a constant size …

Leverage AWS AI/ML managed services to generate value from your time series data Key
FeaturesSolve modern time series analysis problems such as forecasting and anomaly …

Data is essential to performing time series analysis utilizing machine learning approaches,
whether for classic models or today's large language models. A good time-series dataset is …