Anoosh Kulkarni, V Adithya Krishnan, Akshay R Kulkarni, Adarsha Shivananda

(0)

Write a review

-20%

Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python

Anoosh Kulkarni, V Adithya Krishnan, Akshay R Kulkarni, Adarsha Shivananda

(0)

Write a review

Language English

Cover Softcover

Published 2022-12-24

€43.10 €53.88

-20% with code BOOKS

Softcover €53.88 Hardcover

In stock at our supplier

Shipping in 12-18 days

30-day return policy

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 in ... Full description

Description

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.

What You Will Learn

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)

Who This Book Is For

Data Scientists, Machine Learning Engineers, and software developers interested in time series analysis.

More Information

Author	Anoosh Kulkarni, V Adithya Krishnan, Akshay R Kulkarni, Adarsha Shivananda
Publisher	Apress
Release year	2022
Cover type	Softcover
EAN	9781484289778

Write Your Own Review

You're reviewing: Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python

Your Rating:

Goodreads Reviews

€43.10 €53.88

Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python

You May Also Like

Gödel, Escher, Bach: An Eternal Golden Braid

AI Engineering: Building Applications with Foundation Models

Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI

The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition

The Rust Programming Language

How Linux Works: What Every Superuser Should Know

How To Think About AI: A Guide For The Perplexed

The Art of Game Design: A Book of Lenses

Python Crash Course: A Hands-On, Project-Based Introduction to Programming

CompTIA Security+ Certification Kit: Exam SY0-701

Automate the Boring Stuff with Python

Fundamentals of Software Architecture: A Modern Engineering Approach

Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers

Hacking: The Art of Exploitation

Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution

Deep Learning

Proofs from THE BOOK

Mathematics for Machine Learning

Artificial Intelligence: A Modern Approach, Global Edition

Heavy Wizardry 101: Shellcodes, Backdoors, Droppers, and Worms

Description

More Information

Goodreads Reviews

Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python - Anoosh Kulkarni,V Adithya Krishnan,Akshay R Kulkarni,Adarsha Shivananda

Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python

You May Also Like

Description

More Information

Goodreads Reviews