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...

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...

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,...

Regression using Tensorflow and Gradient descent optimizer

Gradient descent is the most popular optimization algorithm, used in machine learning and deep learning. Gradient descent is iterative optimization algorithm for...

Tensors: The building block of TensorFlow

TensorFlow uses tensor to define the framework and processing data. A tensor conceptualized multidimensions vectors and matrices. Mathematically, a tensor is a geometric object...

Introduction to Boosting Machine Learning Algorithm: AdaBoost

AdaBoost algorithm Boosting is a supervised machine learning algorithm for primarily handling data which have outlier and variance....

Do We Still Need Traditional Pattern Recognition and Signal Processing in the Age of...

Deep learning is one of the most successful methods that we have seen in computer science in the last couple of years. Results indicate...

Algorithms Every Machine Learning Expert Should Know

This post is all about the most popular machine learning algorithms. Before we start regardless of field, it advisable to list all available tools and techniques in...

Join Our 14k+ AI/ Machine Learning/ Deep Learning/ Data Science Facebook Group

Join Now