{"product_id":"practical-time-series-analysis-prediction-with-statistics-and-machine-learning","title":"Practical Time Series Analysis: Prediction With Statistics And Machine Learning","description":"\u003cp style=\"-webkit-tap-highlight-color: transparent; color: rgb(102, 102, 102); font-family: \" open sans margin:=\"\" padding:=\"\"\u003e\u003cstrong style=\"-webkit-tap-highlight-color: transparent;\"\u003eAll Indian Reprints of O'Reilly are printed in Grayscale\u003c\/strong\u003e\u003c\/p\u003e\u003cp style=\"-webkit-tap-highlight-color: transparent; color: rgb(102, 102, 102); font-family: \" open sans margin:=\"\" padding:=\"\"\u003eTime series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis with both statistical and machine learning techniques will increase.\u003c\/p\u003e\u003cp style=\"-webkit-tap-highlight-color: transparent; color: rgb(102, 102, 102); font-family: \" open sans margin:=\"\" padding:=\"\"\u003eCovering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challenges in time series, using both traditional statistical and modern machine learning techniques. Author Aileen Nielsen offers an accessible, well-rounded introduction to time series in both R and Python that will have data scientists, software engineers, and researchers up and running quickly.\u003c\/p\u003e\u003cp style=\"-webkit-tap-highlight-color: transparent; color: rgb(102, 102, 102); font-family: \" open sans margin:=\"\" padding:=\"\"\u003eYou'll get the guidance you need to confidently: \u003c\/p\u003e\u003cul style=\"-webkit-tap-highlight-color: transparent; padding-right: 0px; padding-left: 20px; margin: 0px; list-style-position: initial; list-style-image: initial; color: rgb(102, 102, 102); font-family: \" open sans\u003e\n\u003cli style=\"-webkit-tap-highlight-color: transparent; margin: 0px; padding: 2px 0px; list-style: disc;\"\u003eFind and wrangle time series data \u003c\/li\u003e\n\u003cli style=\"-webkit-tap-highlight-color: transparent; margin: 0px; padding: 2px 0px; list-style: disc;\"\u003eUndertake exploratory time series data analysis \u003c\/li\u003e\n\u003cli style=\"-webkit-tap-highlight-color: transparent; margin: 0px; padding: 2px 0px; list-style: disc;\"\u003eStore temporal data \u003c\/li\u003e\n\u003cli style=\"-webkit-tap-highlight-color: transparent; margin: 0px; padding: 2px 0px; list-style: disc;\"\u003eSimulate time series data \u003c\/li\u003e\n\u003cli style=\"-webkit-tap-highlight-color: transparent; margin: 0px; padding: 2px 0px; list-style: disc;\"\u003eGenerate and select features for a time series \u003c\/li\u003e\n\u003cli style=\"-webkit-tap-highlight-color: transparent; margin: 0px; padding: 2px 0px; list-style: disc;\"\u003eMeasure error \u003c\/li\u003e\n\u003cli style=\"-webkit-tap-highlight-color: transparent; margin: 0px; padding: 2px 0px; list-style: disc;\"\u003eForecast and classify time series with machine or deep learning \u003c\/li\u003e\n\u003cli style=\"-webkit-tap-highlight-color: transparent; margin: 0px; padding: 2px 0px; list-style: disc;\"\u003eEvaluate accuracy and performance\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50506132815942,"sku":"9789352139255","price":1732.5,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789352139255_k5ka-bg.jpg?v=1790320878","url":"https:\/\/cb-india.com\/products\/practical-time-series-analysis-prediction-with-statistics-and-machine-learning","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}