A.I, Data and Software Engineering

Tagone-hot

Feature Engineering FundamentalS

Petamind A.I

The features you use influence more than everything else the result. No algorithm alone, to my knowledge, can supplement the information gain given by correct feature engineering.— Luca Massaron What is a feature and why we need engineering of it? Basically, all machine learning algorithms use some input data to create outputs. This input data comprise features, which are usually in the form...

One-hot encoding matrices demonstration

movie lens automation

This post will demonstrate onehot encoding for a rating matrix, such as movie lens dataset. One-hot encoding Previously, we introduced a quick note for one-hot encoding. It is a representation of categorical variables as binary vectors. It is a group of bits among which the legal combinations of values are only those with a single high (1) bit and all the others low (0) Rating matrix If you are...

A gentle demonstrate to Tensorflow’s graph and session

Petamind A.I

When starting Tensorflow (TF), many may find that the result cannot be obtained immediately. Rather, you must use a session or interactive session. TensorFlow uses a dataflow graph to represent your computation in terms of the dependencies between individual operations. This leads to a low-level programming model in which you first define the dataflow graph, then create a...

A.I, Data and Software Engineering

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