Andrea Manero-Bastin's Page

Tauheedul Ali liked Andrea Manero-Bastin's blog post How to Configure the Number of Layers and Nodes in a Neural Network

Sunday

Andrea Manero-Bastin posted a blog post

Demystifying the Math of Support Vector Machines (SVM)

This article was written by Krishna Kumar Mahto. So, three days into SVM, I was 40% frustrated, 30% restless, 20% irritated and 100% inefficient in terms of getting my work done. I was stuck with the Maths part of Support Vector Machine. I went through a number of YouTube videos, a number of documents, PPTs and PDFs of lecture notes, but everything seemed too indistinct for me. Out of all these, I…See More

Sunday

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Andrea Manero-Bastin's blog post was featured

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 field that applies scientific rigor to the understanding of…See More

Mar 10

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Tansel Arif liked Andrea Manero-Bastin's blog post What Are Machine Learning Models Hiding?

Mar 4

Tauheedul Ali liked Andrea Manero-Bastin's blog post The Math Required for Machine Learning

Mar 4

Andrea Manero-Bastin posted a blog post

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, location traces, and health-care records.…See More

Mar 3

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Renzo Valencia commented on Andrea Manero-Bastin's blog post How to Visualize a Decision Tree from a Random Forest in Python using Scikit-Learn

"It's a great contribution, I'm working on something similar with R and the Tensorflow package but for analysis in emergency detection and mine tailings. but this for ecology is a big initial contribution"

Feb 20

Renzo Valencia commented on Andrea Manero-Bastin's blog post How to Visualize a Decision Tree from a Random Forest in Python using Scikit-Learn

Feb 20

Andrea Manero-Bastin posted a blog post

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 these hyperparameters for your specific predictive modeling problem…See More

Feb 18

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Andrea Manero-Bastin posted a blog post

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 score since it is being…See More

Feb 17

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Andrea Manero-Bastin posted a blog post

Universal Method to Sort Complex Information Found

This article was written by Kevin Hartnett.The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that there was no universal way to solve it. Instead, they found such a way. If you were opening a…See More

Feb 3

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Roger Mantoan liked Andrea Manero-Bastin's blog post The 10 Statistical Techniques Data Scientists Need to Master

Feb 2

Guillaume Verdier liked Andrea Manero-Bastin's blog post The 10 Statistical Techniques Data Scientists Need to Master

Jan 24

Andrea Manero-Bastin posted a blog post

The 10 Statistical Techniques Data Scientists Need to Master

This article was written by James Le. Here is a brief summary. Link to the full article is provided at the bottom. Some techniques are not mentioned in Le's article, for instance neural networks, K-NN, density estimation, time series models, survival analysis, Markov chains, Bayesian statistics, graph models, and spatial processes. However his article is a great read, with the 10 topics explained in details, in a…See More

Jan 24

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