Download or read book Seasonally Fit written by Brian L. Syme and published by . This book was released on 2007-12-01 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Seasonally Fit" is a distillation of the best well-known and emerging science available today. Syme explores nature's driving forces; examines sleep, diet, and exercise; and dispels common myths.
Download or read book Employment and Earnings written by and published by . This book was released on 2006 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Time Series Analysis written by Jonathan D. Cryer and published by Springer Science & Business Media. This book was released on 2008-03-06 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the R computing environment. Basic applied statistics is assumed through multiple regression. Calculus is assumed only to the extent of minimizing sums of squares but a calculus-based introduction to statistics is necessary for a thorough understanding of some of the theory. Actual time series data drawn from various disciplines are used throughout the book to illustrate the methodology.
Download or read book Machine Learning for Business Analytics written by Galit Shmueli and published by John Wiley & Sons. This book was released on 2023-03-08 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Business Analytics Machine learning—also known as data mining or data analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the seventh edition of Machine Learning for Business Analytics, and the first using RapidMiner software. This edition also includes: A new co-author, Amit Deokar, who brings experience teaching business analytics courses using RapidMiner Integrated use of RapidMiner, an open-source machine learning platform that has become commercially popular in recent years An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.
Download or read book Forecasting Time Series Data with Facebook Prophet written by Greg Rafferty and published by Packt Publishing Ltd. This book was released on 2021-03-12 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create and improve high-quality automated forecasts for time series data that have strong seasonal effects, holidays, and additional regressors using Python Key Features Learn how to use the open-source forecasting tool Facebook Prophet to improve your forecasts Build a forecast and run diagnostics to understand forecast quality Fine-tune models to achieve high performance, and report that performance with concrete statistics Book Description Prophet enables Python and R developers to build scalable time series forecasts. This book will help you to implement Prophet's cutting-edge forecasting techniques to model future data with higher accuracy and with very few lines of code. You will begin by exploring the evolution of time series forecasting, from the basic early models to the advanced models of the present day. The book will demonstrate how to install and set up Prophet on your machine and build your first model with only a few lines of code. You'll then cover advanced features such as visualizing your forecasts, adding holidays, seasonality, and trend changepoints, handling outliers, and more, along with understanding why and how to modify each of the default parameters. Later chapters will show you how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models and see some useful features when running Prophet in production environments. By the end of this Prophet book, you will be able to take a raw time series dataset and build advanced and accurate forecast models with concise, understandable, and repeatable code. What you will learn Gain an understanding of time series forecasting, including its history, development, and uses Understand how to install Prophet and its dependencies Build practical forecasting models from real datasets using Python Understand the Fourier series and learn how it models seasonality Decide when to use additive and when to use multiplicative seasonality Discover how to identify and deal with outliers in time series data Run diagnostics to evaluate and compare the performance of your models Who this book is for This book is for data scientists, data analysts, machine learning engineers, software engineers, project managers, and business managers who want to build time series forecasts in Python. Working knowledge of Python and a basic understanding of forecasting principles and practices will be useful to apply the concepts covered in this book more easily.
Download or read book Forecasting Time Series Data with Prophet written by Greg Rafferty and published by Packt Publishing Ltd. This book was released on 2023-03-31 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create and improve fully automated forecasts for time series data with strong seasonal effects, holidays, and additional regressors using Python Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore Prophet, the open source forecasting tool developed at Meta, to improve your forecasts Create a forecast and run diagnostics to understand forecast quality Fine-tune models to achieve high performance and report this performance with concrete statistics Book DescriptionForecasting Time Series Data with Prophet will help you to implement Prophet's cutting-edge forecasting techniques to model future data with high accuracy using only a few lines of code. This second edition has been fully revised with every update to the Prophet package since the first edition was published two years ago. An entirely new chapter is also included, diving into the mathematical equations behind Prophet's models. Additionally, the book contains new sections on forecasting during shocks such as COVID, creating custom trend modes from scratch, and a discussion of recent developments in the open-source forecasting community. You'll cover advanced features such as visualizing forecasts, adding holidays and trend changepoints, and handling outliers. You'll use the Fourier series to model seasonality, learn how to choose between an additive and multiplicative model, and understand when to modify each model parameter. Later, you'll see how to optimize more complicated models with hyperparameter tuning and by adding additional regressors to the model. Finally, you'll learn how to run diagnostics to evaluate the performance of your models in production. By the end of this book, you'll be able to take a raw time series dataset and build advanced and accurate forecasting models with concise, understandable, and repeatable code.What you will learn Understand the mathematics behind Prophet’s models Build practical forecasting models from real datasets using Python Understand the different modes of growth that time series often exhibit Discover how to identify and deal with outliers in time series data Find out how to control uncertainty intervals to provide percent confidence in your forecasts Productionalize your Prophet models to scale your work faster and more efficiently Who this book is forThis book is for business managers, data scientists, data analysts, machine learning engineers, and software engineers who want to build time-series forecasts in Python or R. To get the most out of this book, you should have a basic understanding of time series data and be able to differentiate it from other types of data. Basic knowledge of forecasting techniques is a plus.
Download or read book The Conventional Treatment of Seasonality in Business Cycle Analysis written by Lawrence J. Christiano and published by . This book was released on 2000 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'No.' So says one model that is broadly consistent with postwar U.S. seasonal and business cycle data.
Download or read book Data Collection Processing and Presentation written by United States. National Commission on Employment and Unemployment Statistics and published by . This book was released on 1980 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Analysing Seasonal Health Data written by Adrian G. Barnett and published by Springer Science & Business Media. This book was released on 2010-01-08 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seasonal patterns have been found in a remarkable range of health conditions, including birth defects, respiratory infections and cardiovascular disease. Accurately estimating the size and timing of seasonal peaks in disease incidence is an aid to understanding the causes and possibly to developing interventions. With global warming increasing the intensity of seasonal weather patterns around the world, a review of the methods for estimating seasonal effects on health is timely. This is the first book on statistical methods for seasonal data written for a health audience. It describes methods for a range of outcomes (including continuous, count and binomial data) and demonstrates appropriate techniques for summarising and modelling these data. It has a practical focus and uses interesting examples to motivate and illustrate the methods. The statistical procedures and example data sets are available in an R package called ‘season’.
Download or read book An analysis of seasonality and birth outcomes in highly malarious areas of Tanzania written by Ulrika Uddenfeldt Wort and published by Rozenberg Publishers. This book was released on 2007 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book 120 Most Powerful recipes and exercise to make people over 40 Years Old Healthy and fit written by Andrei Besedin and published by Andrei Besedin via PublishDrive. This book was released on 2017-10-20 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: When you are young, you can afford to show no concern about your diet. But as soon as you hit 40 years and above, things begin to change. The ways your body systems react to everything you eat begin to change. As you get older, the amount of energy you will burn while resting starts to decrease. If you continue to eat the way you ate while you were young, there are high possibilities of having some issues. These are Increase in the body weight, Diabetes, strokes and cardiovascular disease leading to an unhealthy lifestyle. Suffering from these conditions might reduce your life span by some years. Apart from the reduction in lifespan, you might need to spend most of your time and money seeking for medical care. Imagine how frustrating that can be. But do you know these conditions are largely preventable? Eating a healthy diet and exercising more might be all you need. The good news is that our superb short book can help you out. With our book on “120 powerful recipes and exercises to make people over 40 years old healthy and fit”, you can get your life back on track and live the rest of your life active. In fact, if you are already suffering from these diseases you don’t have to give up. The powerful recipes and exercises in our short book can help you manage it and even reverse some of their effects. A lot of benefits are attached to our exciting short book if taken seriously. These are: •It offers a great navigation index that you can use as reference guide •The product gives a perfect guide to 120 powerful recipes and exercises to make people over 40 years old healthy and fit •Information provided is short, self-explanatory, precise and accurate. You will not stop until you read to the end. •Recipes provided could fit all budgets. No matter how tight your budget is, you can still stick to the recipes •Time-saving and convinient exercises are guaranteed No doubt, we cannot negate the fact that our product is not 100% detailed. Making sure you stay healthy and fit when you are above 40 years is our main concern. The provided 120 powerful recipes and exercises in our book would save you fitness expenses and health. You could save about US$1000 which is a lot of money you can use for other essential things. The more you delay purchasing this amazing short book the more you be at the risk getting your life reduced. We all want to live long and live happily forever. So why wait? To remain healthy and fit for the rest of your life, click the buy button on the upper right side of the page and obtain your copy of the book in just one click! PS: Keep in mind that the more you delay purchasing this amazing short book the more you be at the risk getting your life reduced. Grab your copy now!
Download or read book Monthly Labor Review written by and published by . This book was released on 2001-07 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publishes in-depth articles on labor subjects, current labor statistics, information about current labor contracts, and book reviews.
Download or read book Inventory Analytics written by Roberto Rossi and published by Open Book Publishers. This book was released on 2021-05-24 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control. Inventory Analytics is the first book of its kind to adopt a practicable, Python-driven approach to illustrating theories and concepts via computational examples, with each model covered in the book accompanied by its Python code. Originating as a collection of self-contained lectures, Inventory Analytics will be an indispensable resource for practitioners, researchers, teachers, and students alike.
Download or read book Animals and Environmental Fitness Physiological and Biochemical Aspects of Adaptation and Ecology written by R. Gilles and published by Elsevier. This book was released on 2013-10-02 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Animals and Environmental Fitness, Volume 1: Invited Lectures is a collection of papers that tackles ecological concerns. The materials of the book are organized according the main issue of their contents. The text first tackles the chemical factors of the environment, such as water and oxygen availability, ecomones, and pollutants. The other half of the book encompasses the physical factors of the environment that include light, pressure, and temperature. The text will be of great use to scientists who study the interaction between flora, fauna, and the total environment.
Download or read book Pattern Recognition Applications and Methods written by Maria De Marsico and published by Springer Nature. This book was released on 2023-01-26 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains revised and extended versions of selected papers from the 10th and 11th International Conference on Pattern Recognition, ICPRAM 2021 and 2022, held in February 2021 and 2022. Due to COVID-19 pandemic the conferences were held virtually. Both conferences received in total 204 submissions from which 8 full papers were carefully reviewed and selected for presentation in this volume. The papers span a wide range of investigation as well as development lines, which of course always reflect the last trends of research in the pattern recognition community.
Download or read book Encyclopedia of Sports Medicine written by Lyle J. Micheli and published by SAGE. This book was released on 2011 with total page 1881 pages. Available in PDF, EPUB and Kindle. Book excerpt: This encyclopedia presents state-of-the-art research and evidence-based applications on the topic of sports medicine.
