Search

Categories

    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss
    • categories-img Jacket, Women
    • categories-img Woolend Jacket
    • categories-img Western denim
    • categories-img Mini Dresss

Filter By Price

$
-
$

Dietary Needs

Top Rated Product

product-img product-img

Modern Chair

$165.00
product-img product-img

Plastic Chair

$165.00
product-img product-img

Design Rooms

$165.00

Brands

  • Wooden
  • Chair
  • Modern
  • Fabric
  • Shoulder
  • Winter
  • Accessories
  • Dress

Welcome and thank you for visiting us. For any query call us on 0799 626 359 or Email [email protected]

Offcanvas Menu Open

Shopping Cart

Africa largest book store

Sub Total:

Search for any Title

Time Series for Data Science : Analysis and Forecasting

By: (Author) Bivin Philip Sadler , (Author) Stephen Robertson , (Author) Wayne A. Woodward

Manufacture on Demand

Ksh 9,400.00

Format: Paperback / Softback

ISBN-10: 0367543893

ISBN-13: 9780367543891

Series: Chapman & Hall/CRC Texts in Statistical Science

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: May 27th, 2024

Print length: 528 Pages

Weight: 966 grams

Dimensions (height x width x thickness): 25.40 x 17.90 x 3.30 cms

Choose your Location

Shipping & Delivery

Door Delivery

Delivery fee

Delivery in 10 to 14 days

  • Description

  • Reviews

Practical Time Series Analysis for Data Science is an accessible guide that doesn’t require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.

Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.

This book is an accessible guide that doesn’t require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.

Features:

  • Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, LSTMs, GRUs, and ensemble models composed of combinations of these models.
  • Introduces the factor table representation of ARMA and ARIMA models. This representation is not available in any other book at this level and is extremely useful in both practice and pedagogy.
  • Uses real world examples that can be readily found via web links from sources such as the US Bureau of Statistics, Department of Transportation and the World Bank.
  • There is an accompanying R package that is easy to use and requires little or no previous R experience. The package implements the wide variety of models and methods presented in the book and has tremendous pedagogical use.

Get Time Series for Data Science by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

Customer Reviews

Based on 0 reviews

Mind, Body, & Spirit