Neural architecture search (NAS) is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine learning. NAS has been used to design networks that are on par or outperform hand-designed architectures.
Read moreWhat is differentiable neural architecture search?
DNAS, or Differentiable Neural Architecture Search, uses gradient-based methods to optimize ConvNet architectures, avoiding enumerating and training individual architectures separately as in previous methods .
Read moreCan machine learning be used for forecasting?
Machine learning techniques allows for predicting the amount of products/services to be purchased during a defined future period . In this case, a software system can learn from data for improved analysis.
Read moreCan machine learning be used for forecasting?
Machine learning techniques allows for predicting the amount of products/services to be purchased during a defined future period . In this case, a software system can learn from data for improved analysis.
Read moreHow can I make my ARIMA more accurate?
1- Check again the stationarity of the time series using augmented Dickey-Fuller (ADF) test . 2- Try to increase the number of predictors ( independent variables). 3- Try to increase the sample size (in case of monthly data, to use at least 4 years data.
Read moreWhat are the methods for forecasting?
Quantitative Forecasting Methods
Read moreIs ARIMA a predictive model?
ARIMA, short for ‘AutoRegressive Integrated Moving Average’, is a forecasting algorithm based on the idea that the information in the past values of the time series can alone be used to predict the future values.
Read more