Neural Networks for Time Series Forecasting with R

Neural Networks with R

✍ Giuseppe Ciaburro, Balaji Venkateswaran 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning. This book explains the niche aspects of neural networking and provi

Neural Networks with R

📁 Neural Networks with R

✍ Balaji Venkateswaran 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

The book helps you learn neural networks and implement them in R. It covers real-world use cases that will help you better understand their concepts. A basic understanding of R and mathematics is required.

Neural Networks with R

📁 Neural Networks with R

✍ Balaji Venkateswaran; Giuseppe Ciaburro 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

Uncover the power of artificial neural networks by implementing them through R code. About This Book Develop a strong background in neural networks with R, to implement them in your applications Build smart systems using the power of deep learning Real-world case studies to illustrate the powe

Neural Networks with R (Codes)

📁 Neural Networks with R (Codes)

✍ Balaji Venkateswaran; Giuseppe Ciaburro 📂 Library 📅 2017 🏛 Packt Publishing 🌐 English

Uncover the power of artificial neural networks by implementing them through R code. About This Book Develop a strong background in neural networks with R, to implement them in your applications Build smart systems using the power of deep learning Real-world case studies to illustrate the powe

Automatic Time Series Forecasting: The f

📁 Automatic Time Series Forecasting: The forecast Package for R + Code

✍ Hyndman R.J., Khandakar Y. 📂 Library 🌐 English

Automatic forecasts of large numbers of univariate time series are often needed in business and other contexts. We describe two automatic forecasting algorithms that have been implemented in the forecast package for R. The first is based on innovations state space models that underly exponential smo

Hands-On Time Series Analysis With R: Pe

📁 Hands-On Time Series Analysis With R: Perform Time Series Analysis And Forecasting Using R

✍ Rami Krispin 📂 Library 📅 2019 🏛 Packt Publishing 🌐 English

Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series analysis and forecasting using R packages such as Forecast and h2o Develop models and find patterns to create visualizations using the TSstudio and plotly package