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Andrea Manero-Bastin's Blog – February 2019 Archive (4)

How to Configure the Number of Layers and Nodes in a Neural Network

This article was written by Jason Brownlee

Artificial neural networks have two main hyperparameters that control the architecture or topology of the network: the number of layers and the number of nodes in each hidden layer. You must specify values for these parameters when configuring your network. The most reliable way to configure…

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Added by Andrea Manero-Bastin on February 17, 2019 at 2:00am — No Comments

Data Science Jargon Explained to the Layman

This article was written by Enda Ridge.

Data Scientists need to communicate without jargon so customers understand, believe and care about their recommendations. Here is a Data Science jargon buster to help.

Data Science is a technical…

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Added by Andrea Manero-Bastin on February 17, 2019 at 1:30am — No Comments

What Are Machine Learning Models Hiding?

This article was written by Vitaly Shmatikov.

 Machine learning is eating the world. The abundance of training data has helped ML achieve amazing results for object recognition, natural language processing, predictive analytics, and all manner of other tasks. Much of this training data is very sensitive, including personal photos, search queries,…

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Added by Andrea Manero-Bastin on February 17, 2019 at 1:30am — No Comments

Cross-Validation: Concept and Example in R

This article was written by Sondos Atwi.

In Machine Learning, Cross-validation is a resampling method used for model evaluation to avoid testing a model on the same dataset on which it was trained. This is a common mistake, especially that a separate testing dataset is not always available. However, this usually leads to inaccurate performance measures (as the model will have an almost perfect…

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Added by Andrea Manero-Bastin on February 10, 2019 at 10:30am — No Comments

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