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Author | : Sara Forte |
Publisher | : Ten Speed Press |
Total Pages | : 254 |
Release | : 2012-08-28 |
Genre | : Cooking |
ISBN | : 1607741156 |
Download The Sprouted Kitchen Book in PDF, ePub and Kindle
Sprouted Kitchen food blogger Sara Forte showcases 100 tempting recipes that take advantage of fresh produce, whole grains, lean proteins, and natural sweeteners—with vivid flavors and seasonal simplicity at the forefront. Sara Forte is a food-loving, wellness-craving veggie enthusiast who relishes sharing a wholesome meal with friends and family. The Sprouted Kitchen features 100 of her most mouthwatering recipes. Richly illustrated by her photographer husband, Hugh Forte, this bright, vivid book celebrates the simple beauty of seasonal foods with original recipes—plus a few favorites from her popular Sprouted Kitchen food blog tossed in for good measure. The collection features tasty snacks on the go like Granola Protein Bars, gluten-free brunch options like Cornmeal Cakes with Cherry Compote, dinner party dishes like Seared Scallops on Black Quinoa with Pomegranate Gastrique, “meaty” vegetarian meals like Beer Bean– and Cotija-Stuffed Poblanos, and sweet treats like Cocoa Hazelnut Cupcakes. From breakfast to dinner, snack time to happy hour, The Sprouted Kitchen will help you sneak a bit of delicious indulgence in among the vegetables.
Author | : Francesca Lazzeri |
Publisher | : John Wiley & Sons |
Total Pages | : 224 |
Release | : 2020-12-01 |
Genre | : Computers |
ISBN | : 1119682371 |
Download Machine Learning for Time Series Forecasting with Python Book in PDF, ePub and Kindle
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.
Author | : James F. Peters |
Publisher | : Springer Nature |
Total Pages | : 513 |
Release | : 2023-01-01 |
Genre | : Computers |
ISBN | : 3662665441 |
Download Transactions on Rough Sets XXIII Book in PDF, ePub and Kindle
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XXIII in the series is a continuation of a number of research streams that have grown out of the seminal work of Zdzislaw Pawlak during the first decade of the 21st century.
Author | : Cmt Association |
Publisher | : John Wiley & Sons |
Total Pages | : 675 |
Release | : 2022-12-28 |
Genre | : |
ISBN | : 1394184778 |
Download Cmt Curriculum Level I 2023 Book in PDF, ePub and Kindle
Get Your Copy of the 2023 Official CMT(R) Level I Curriculum As the authoritative introduction to the basics of technical analysis, the Official CMT(R) Level I Curriculum includes the tools, content, and terminology you will need to prepare for the Level I exam and beyond. Published in partnership with the CMT Association, CMT Curriculum Level I 2023: An Introduction to Technical Analysis explores theory and history, markets, market indicators, construction, confirmation, cycles, selection and decision, system testing, and statistical analysis. This text covers all concepts appearing on the Level I CMT(R) exam, featuring industry-relevant topics and treatments of technical analysis in the context of portfolio management.
Author | : National Poland-China Record Company |
Publisher | : |
Total Pages | : 1184 |
Release | : 1920 |
Genre | : Poland-China swine |
ISBN | : |
Download The National Poland-China Record Book in PDF, ePub and Kindle
Author | : Aileen Nielsen |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 504 |
Release | : 2019-09-20 |
Genre | : Computers |
ISBN | : 1492041602 |
Download Practical Time Series Analysis Book in PDF, ePub and Kindle
Time 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. Covering 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 challengesin 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. You’ll get the guidance you need to confidently: Find and wrangle time series data Undertake exploratory time series data analysis Store temporal data Simulate time series data Generate and select features for a time series Measure error Forecast and classify time series with machine or deep learning Evaluate accuracy and performance
Author | : |
Publisher | : |
Total Pages | : 1220 |
Release | : 1906 |
Genre | : Cattle |
ISBN | : |
Download The American Shorthorn Herd Book Book in PDF, ePub and Kindle
Author | : American Short-horn Breeders' Association |
Publisher | : |
Total Pages | : 1218 |
Release | : 1906 |
Genre | : Cattle |
ISBN | : |
Download American Herd Book Book in PDF, ePub and Kindle
Author | : Los Angeles (Calif.). Community Analysis Bureau |
Publisher | : |
Total Pages | : 216 |
Release | : 1968 |
Genre | : Los Angeles (Calif.) |
ISBN | : |
Download The Catalog of Information Sources for the City of Los Angeles: pt. 1. The catalog: data dictionary Book in PDF, ePub and Kindle
Author | : Frank Ward Sterling |
Publisher | : |
Total Pages | : 1518 |
Release | : 1920 |
Genre | : Marine engineering |
ISBN | : |
Download Marine Engineers' Handbook Book in PDF, ePub and Kindle