Thursday, February 20, 2020

Handy TensorFlow.js API for Client-Side ML Development

Let’s look into TensorFlow.js API for training data handling, training execution, and inference. TensorFlow.js is awesome because it brings Machine Learning into the hands of Web developers, this provides mutual benefit. Machine Learning field gets more developers and supporters, while Web development becomes more powerful with the support of Machine Learning.


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Thursday, January 23, 2020

Time-Series Prediction Beyond Test Data

I was working on the assignment to build a large scale time-series prediction solution. I end up using a combination of approaches in the single solution — Prophet, ARIMA and LSTM Neural Network (running on top of Keras/TensorFlow). With Prophet (Serving Prophet Model with Flask — Predicting Future) and ARIMA it is straightforward to calculate a prediction for future dates, both provide a function to return prediction for a given future horizon. The same is not obvious with LSTM, if you are new — this will require a significant amount of time to research how to forecast true future dates (most of the examples are showing how to predict against test dataset only).

I found one good example though which I was following and it helped me to solve my task — A Quick Example of Time-Series Prediction Using Long Short-Term Memory (LSTM) Networks. In this post, I will show how to predict shampoo sales monthly data, mainly based on the code from the above example.

Read more - Time-Series Prediction Beyond Test Data.