**Time series analysis and Recurrent Neural Networks**

In this talk Laura will go through the theory and practice of time series analysis with examples in R covering concepts such as lag, serial correlation and Box-Ljeung tests. She'll focus on the practical applications of time series analysis and show how data can be modelled using libraries such as xts, zoo and forecast to make predictions on markets and seasonal behaviours. In addition Laura will cover an introduction to deep learning and specifically how Recurrent Neural Networks (RNNs) and LSTM's can be used to make time series predictions with R's RNN package and Tensorflow.

**Laura Da Silva**

Laura da Silva is the Lead Data Scientist at Elastacloud. She has had a distinguished academic career with a degree in Maths and a PhD in Computer Science at the University of Almeria specialising in Numerical Computing. She began her journey in Data Science to reuse her knowledge of statistics. She has specialised in time series analysis and specifically real-time multi-step predictors from data streams.

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