How to construct an ETF Assortment at CIBC Investor’s Side

Today’s lesson is on How to Build an ETF portfolio at CIBC Investor’s Edge.

For our example, we’ll be purchasing the five ETFs from my 40% fixed income / 60% equity model portfolio – please feel free to download the model portfolios from my blog before getting started:

http://www.canadianportfoliomanagerblog.com/model-etf-portfolios/

Repeated Neural Networks like twitter (RNN / LSTM )by having Keras is that Python

Recurrent Neural Networks (RNN / LSTM )with Keras - Python

In this tutorial, we learn about Recurrent Neural Networks (LSTM and RNN). Recurrent neural Networks or RNNs have been very successful and popular in time series data predictions. There are several applications of RNN. It can be used for stock market predictions , weather predictions , word suggestions etc.

SimpleRNN , LSTM , GRU are some classes in keras which can be used to implement these RNNs. The backend can be Theano as well as TensorFlow.

Find the codes here
GitHub : https://github.com/shreyans29/thesemicolon
Facebook : https://www.facebook.com/thesemicolon.code
Support us on Patreon : https://www.patreon.com/thesemicolon
Good Reads : http://karpathy.github.io/

Recommended book for Deep Learning : http://amzn.to/2nXweQS
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Jeffrey Yau that Moment in time Show Foretelling of making use of Historic and Machine Practicing Types

PyData New York City 2017

Time series data is ubiquitous, and time series modeling techniques are data scientists’ essential tools. This presentation compares Vector Autoregressive (VAR) model, which is one of the most important class of multivariate time series statistical models, and neural network-based techniques, which has received a lot of attention in the data science community in the past few years.
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