Applications of SVM in Real World SVMs depends on supervised learning algorithms. The aim of using SVM is to correctly classify unseen data. SVMs have a number of appl...
The intelligence in AI is computational intelligence, and a better word could be Automated Intelligence. But when it comes to good judgment, AI is not smarter than the hu...
Generative adversarial networks (GANs) are a class of neural networks that are used in unsupervised machine learning. They help to solve such tasks as image generation fr...
Logarithms turn a product of numbers into a sum of numbers: log(xy) = log(x) + log(y). Hyperlogarithms generalize the concept as follows: Hlog(XY) = Hlog(X) + Hlog(Y), wh...
Data Denialism A common scenario that data analysts in general encounter is what I like to describe as “data denialism”. Often, and especially while consultin...
R is the latest language added to Apache Spark, and the SparkR API is slightly different from PySpark. SparkR’s evolving interface to Apache Spark offers a wide range o...
In the last few blog posts of this series, we discussed simple linear regression model. We discussed multivariate regression model and methods for selecting the right mod...
Agenda Introduction of Powershell Need of powershell BackGround of Powershell Tools Why its better than alternatives ? Top Most Administrative Powershell Commands Working...
Top Neural Network Algorithms Learning of neural network takes place on the basis of a sample of the population under study. During the course of learning, compare the v...
Summary: Recently we’ve been profiling Automated Machine Learning (AML) platforms, both of the professional variety, and particularly those proprietary one-click-to-m...