{"product_id":"9781801819626-machine-learning-for-time-seri","title":"Machine Learning for Time-Series with Python","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eForecast, predict, and detect anomalies with state-of-the-art machine learning methods. The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview. \u003cp\u003e\u003cb\u003eGet better insights from time-series data and become proficient in model performance analysis\u003c\/b\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eExplore popular and modern machine learning methods including the latest online and deep learning algorithms\u003c\/li\u003e\n\u003cli\u003eLearn to increase the accuracy of your predictions by matching the right model with the right problem\u003c\/li\u003e\n\u003cli\u003eMaster time series via real-world case studies on operations management, digital marketing, finance, and healthcare\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eThe Python time-series ecosystem is huge and often quite hard to get a good grasp on, especially for time-series since there are so many new libraries and new models. This book aims to deepen your understanding of time series by providing a comprehensive overview of popular Python time-series packages and help you build better predictive systems.\u003c\/p\u003e \u003cp\u003eMachine Learning for Time-Series with Python starts by re-introducing the basics of time series and then builds your understanding of traditional autoregressive models as well as modern non-parametric models. By observing practical examples and the theory behind them, you will become confident with loading time-series datasets from any source, deep learning models like recurrent neural networks and causal convolutional network models, and gradient boosting with feature engineering.\u003c\/p\u003e \u003cp\u003eThis book will also guide you in matching the right model to the right problem by explaining the theory behind several useful models. You’ll also have a look at real-world case studies covering weather, traffic, biking, and stock market data.\u003c\/p\u003e \u003cp\u003eBy the end of this book, you should feel at home with effectively analyzing and applying machine learning methods to time-series.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eUnderstand the main classes of time series and learn how to detect outliers and patterns\u003c\/li\u003e\n\u003cli\u003eChoose the right method to solve time-series problems\u003c\/li\u003e\n\u003cli\u003eCharacterize seasonal and correlation patterns through autocorrelation and statistical techniques\u003c\/li\u003e\n\u003cli\u003eGet to grips with time-series data visualization\u003c\/li\u003e\n\u003cli\u003eUnderstand classical time-series models like ARMA and ARIMA\u003c\/li\u003e\n\u003cli\u003eImplement deep learning models, like Gaussian processes, transformers, and state-of-the-art machine learning models\u003c\/li\u003e\n\u003cli\u003eBecome familiar with many libraries like Prophet, XGboost, and TensorFlow\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThis book is ideal for data analysts, data scientists, and Python developers who want instantly useful and practical recipes to implement today, and a comprehensive reference book for tomorrow. Basic knowledge of the Python Programming language is a must, while familiarity with statistics will help you get the most out of this book.\u003c\/p\u003e\n\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":41078912614497,"sku":"9781801819626","price":50.26,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/8448c469d2ab56cd3be47662d7486594.png?v=1700717308","url":"https:\/\/www.rarewaves.com\/products\/9781801819626-machine-learning-for-time-seri","provider":"Rarewaves.com","version":"1.0","type":"link"}