Time Series Algorithms Recipes

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Time Series Algorithms Recipes

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Author : Akshay R. Kulkarni
language : en
Publisher:
Release Date : 2023

Time Series Algorithms Recipes written by Akshay R. Kulkarni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.

This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical modeling methods like AR (autoregressive), MA (moving-average), ARMA (autoregressive moving-average), and ARIMA (autoregressive integrated moving-average). Next, you'll learn univariate and multivariate modeling using different open-sourced packages like Fbprohet, stats model, and sklearn. You'll also gain insight into classic machine learning-based regression models like randomForest, Xgboost, and LightGBM for forecasting problems. The book concludes by demonstrating the implementation of deep learning models (LSTMs and ANN) for time series forecasting. Each chapter includes several code examples and illustrations. After finishing this book, you will have a foundational understanding of various concepts relating to time series and its implementation in Python. You will: Implement various techniques in time series analysis using Python. Utilize statistical modeling methods such as AR (autoregressive), MA (moving-average), ARMA (autoregressive moving-average) and ARIMA (autoregressive integrated moving-average) for time series forecasting Understand univariate and multivariate modeling for time series forecasting Forecast using machine learning and deep learning techniques such as GBM and LSTM (long short-term memory).

Numerical Recipes 3rd Edition

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Author : William H. Press
language : en
Publisher: Cambridge University Press
Release Date : 2007-09-06

Numerical Recipes 3rd Edition written by William H. Press and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-06 with Computers categories.

Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support, or to subscribe to an online version, please visit www.nr.com.

Time Series Analysis With Python Cookbook

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Author : Tarek A. Atwan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2026-01-16

Time Series Analysis With Python Cookbook written by Tarek A. Atwan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-16 with Computers categories.

Perform time series analysis and forecasting confidently with this Python code bank and reference manual. Access exclusive GitHub bonus chapters and hands-on recipes covering Python setup, probabilistic deep learning forecasts, frequency-domain analysis, large-scale data handling, databases, InfluxDB, and advanced visualizations. Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore up-to-date forecasting and anomaly detection techniques using statistical, machine learning, and deep learning algorithms Learn different techniques for evaluating, diagnosing, and optimizing your models Work with a variety of complex data with trends, multiple seasonal patterns, and irregularities Book DescriptionTo use time series data to your advantage, you need to master data preparation, analysis, and forecasting. This fully refreshed second edition helps you unlock insights from time series data with new chapters on probabilistic models, signal processing techniques, and new content on transformers. You’ll work with the latest releases of popular libraries like Pandas, Polars, Sktime, stats models, stats forecast, Darts, and Prophet through up-to-date examples. You'll hit the ground running by ingesting time series data from various sources and formats and learn strategies for handling missing data, dealing with time zones and custom business days, and detecting anomalies using intuitive statistical methods. Through detailed instructions, you'll explore forecasting using classical statistical models such as Holt-Winters, SARIMA, and VAR, and learn practical techniques for handling non-stationary data using power transforms, ACF and PACF plots, and decomposing time series data with seasonal patterns. The recipes then level up to cover more advanced topics such as building ML and DL models using TensorFlow and PyTorch and applying probabilistic modeling techniques. In this part, you’ll also be able to evaluate, compare, and optimize models, finishing with a strong command of wrangling data with Python.What you will learn Understand what makes time series data different from other data Apply imputation and interpolation strategies to handle missing data Implement an array of models for univariate and multivariate time series Plot interactive time series visualizations using hvPlot Explore state-space models and the unobserved components model (UCM) Detect anomalies using statistical and machine learning methods Forecast complex time series with multiple seasonal patterns Use conformal prediction for constructing prediction intervals for time series Who this book is for This book is for data analysts, business analysts, data scientists, data engineers, and Python developers who want to learn time series analysis and forecasting techniques step by step through practical Python recipes. To get the most out of this book, you’ll need fundamental Python programming knowledge. Prior experience working with time series data to solve business problems will help you to better utilize and apply the recipes more quickly.

On The Move To Meaningful Internet Systems Otm 2017 Conferences

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Author : Hervé Panetto
language : en
Publisher: Springer
Release Date : 2017-10-19

On The Move To Meaningful Internet Systems Otm 2017 Conferences written by Hervé Panetto and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-19 with Computers categories.

This double volumes LNCS 10573-10574 constitutes the refereed proceedings of the Confederated International Conferences: Cooperative Information Systems, CoopIS 2017, Ontologies, Databases, and Applications of Semantics, ODBASE 2017, and Cloud and Trusted Computing, C&TC, held as part of OTM 2017 in October 2017 in Rhodes, Greece. The 61 full papers presented together with 19 short papers were carefully reviewed and selected from 180 submissions. The OTM program every year covers data and Web semantics, distributed objects, Web services, databases, information systems, enterprise workflow and collaboration, ubiquity, interoperability, mobility, grid and high-performance computing.

Technium

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Author :
language : en
Publisher: UM Libraries
Release Date : 1974

Technium written by and has been published by UM Libraries this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Engineering categories.

Cadd Made Easy

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Author : Antony Radford
language : en
Publisher: McGraw-Hill Companies
Release Date : 1987

Cadd Made Easy written by Antony Radford and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Architecture categories.

The Encyclopedia Of Trading Strategies

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Author : Jeffrey Katz
language : en
Publisher: McGraw Hill Professional
Release Date : 2000-02-29

The Encyclopedia Of Trading Strategies written by Jeffrey Katz and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-02-29 with Business & Economics categories.

The Encyclopedia of Trading Strategies is for traders who want to take the next step to consistently profitable trading. The authors--themselves seasoned veterans of the futures trading arena--pinpoint the trading methods and strategies that have been shown to produce market-beating returns. Their rigorous and systematic backtesting of each method, using the same sets of markets and analytic techniques, provides a scientific, system-based approach to system development...to help you assemble the trading system that will put you on the road to becoming a more consistently profitable trader.

Meteorologische Zeitschrift

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Author :
language : en
Publisher:
Release Date : 1998

Meteorologische Zeitschrift written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Meteorology categories.

Poetic Operations

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Author : micha cárdenas
language : en
Publisher: Duke University Press
Release Date : 2021-12-13

Poetic Operations written by micha cárdenas and has been published by Duke University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-13 with Social Science categories.

In Poetic Operations artist and theorist micha cárdenas considers contemporary digital media, artwork, and poetry in order to articulate trans of color strategies for safety and survival. Drawing on decolonial theory, women of color feminism, media theory, and queer of color critique, cárdenas develops a method she calls algorithmic analysis. Understanding algorithms as sets of instructions designed to perform specific tasks (like a recipe), she breaks them into their component parts, called operations. By focusing on these operations, cárdenas identifies how trans and gender-non-conforming artists, especially artists of color, rewrite algorithms to counter violence and develop strategies for liberation. In her analyses of Giuseppe Campuzano's holographic art, Esdras Parra's and Kai Cheng Thom's poetry, Mattie Brice's digital games, Janelle Monáe's music videos, and her own artistic practice, cárdenas shows how algorithmic analysis provides new modes of understanding the complex processes of identity and oppression and the intersection of gender, sexuality, and race.

The Knowledge Illusion

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Author : Steven Sloman
language : en
Publisher: Penguin
Release Date : 2017-03-14

The Knowledge Illusion written by Steven Sloman and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-14 with Psychology categories.

“The Knowledge Illusion is filled with insights on how we should deal with our individual ignorance and collective wisdom.” —Steven Pinker We all think we know more than we actually do. Humans have built hugely complex societies and technologies, but most of us don’t even know how a pen or a toilet works. How have we achieved so much despite understanding so little? Cognitive scientists Steven Sloman and Philip Fernbach argue that we survive and thrive despite our mental shortcomings because we live in a rich community of knowledge. The key to our intelligence lies in the people and things around us. We’re constantly drawing on information and expertise stored outside our heads: in our bodies, our environment, our possessions, and the community with which we interact—and usually we don’t even realize we’re doing it. The human mind is both brilliant and pathetic. We have mastered fire, created democratic institutions, stood on the moon, and sequenced our genome. And yet each of us is error prone, sometimes irrational, and often ignorant. The fundamentally communal nature of intelligence and knowledge explains why we often assume we know more than we really do, why political opinions and false beliefs are so hard to change, and why individual-oriented approaches to education and management frequently fail. But our collaborative minds also enable us to do amazing things. The Knowledge Illusion contends that true genius can be found in the ways we create intelligence using the community around us.