Principal component analysis (PCA) using R

Principal component analysis (PCA) is a statistical analysis technique that uses an orthogonal transformation to convert a set of observations of possibly correlated variables...

Hierarchical clustering using R

Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that clusters similar data points into groups called clusters. The endpoint is a...

R k-means clustering and evaluation of the model

The k-means clustering algorithms aim at partitioning n observations into a fixed number of k clusters. The algorithm will find homogeneous clusters. It works...

Berkeley using a new deep learning program to assess risk of suicide amongst veterans

Identifying patterns of risk within patients often involves a massive amount of data interpretation and algorithmic examination. New computer resources through Berkeley...

Neural Networks: Advantages and Applications

A human brain is not capable of solving complex data and cannot extract information from compound structures. To overcome this lack of...

Top Artificial Intelligence Influencers To Follow in 2019

Yoshua Bengio: Yoshua BengioOCFRSC (born 1964 in Paris, France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep...

Top Machine Learning APIs That You Should Know

Here is a list of some of the important machine learning APIs for you to use. PREDICTION BASED

Regression using Tensorflow and multiple distinctive attributes

As we did in the previous tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into...

Google Maps and AI: What’s The Future of Google’s Flagship Application?

When it comes to technological development in 2019, mobile comes first. Probably due to the fact that mobile traffic as a whole...

Regression using Tensorflow and partition of data for robust validation.

Again in the tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into three slices, Training, Testing,...
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