Practical Time Series Analysis: Prediction with Statistics and Machine Learning, 497 pages - Image 1

Price loading...

O'Reilly Practical Time Series Analysis: Prediction with Statistics and Machine Learning, 497 pages

Name: Practical Time Series Analysis: Prediction with Statistics and Machine Learning, 497 pages
Brand: O'Reilly

AI & Machine Learning

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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 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. 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

Product Specifications

Brand: O'Reilly
Format: paperback
ASIN: 1492041653
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 01 November 2019
Listed Since: 06 November 2018

Barcode

No barcode data available

O'Reilly Practical Time Series Analysis: Prediction with Statistics and Machine Learning, 497 pages

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas

Time Series Analysis with Python Cookbook: Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection

Time Series Forecasting in Python

Modern Time Series Forecasting Techniques For Predictive Analytics and Anomaly Detection: From Classical Foundations to Cutting-Edge Applications

Practical Machine Learning for Data Analysis Using Python

Time Series Analysis and Forecasting using Python & R

Nonlinear Time Series Analysis: 891 (Wiley Series in Probability and Statistics)

Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)

Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

Time Series for Data Scientists: Data Management, Description, Modeling and Forecasting

Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)

Practical Statistics for Data Scientists, 2e: 50+ Essential Concepts Using R and Python

Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets

Wiley Time Series Analysis - Probability and Statistics Book

Nonlinear Time Series Analysis with R

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

Introduction to Time Series Analysis and Forecasting (WILEY SERIES IN PROB & STATISTICS/see 1345/6,6214/5)

Predictive Analytics for the Modern Enterprise: A Practitioner's Guide to Designing and Implementing Solutions

Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)

Time Series Clustering and Classification (Chapman & Hall/CRC Computer Science & Data Analysis)

Introduction to Machine Learning with Python: A Guide for Data Scientists

Springer Time Series Analysis, Modeling and Applications Book

Introduction to Time Series Analysis and Forecasting (Wiley Series in Probability and Statistics)