1. Objective Now we are going to explain the various Graphical Models Applications in real life such as – Manufacturing, finance, Steel Production, Handwriting Recognition… Read More »Top Graphical Models Applications in Real World
This article was written by Aatash Shah. Many people have this doubt, what’s the difference between statistics and machine learning? Is there something like machine learning… Read More »Machine Learning Vs. Statistics
Outdated, inaccurate, or duplicated data won’t drive optimal data driven solutions. When data is inaccurate, leads are harder to track and nurture, and insights may be flawed. The… Read More »Data Cleansing with Apache Spark and Optimus
1) Compare Hadoop & Spark Criteria … Read More »Top 25 Hadoop Interview Questions Prepared by Experts
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… Read More »Real-Life Applications of Support Vector Machines
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… Read More »When AI (Artificial Intelligence) Goes Wrong…
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… Read More »Generative Adversarial Networks (GANs): Engine and Applications
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)… Read More »Curious Mathematical Object: Hyperlogarithms
Data Denialism A common scenario that data analysts in general encounter is what I like to describe as “data denialism”. Often, and especially while consulting,… Read More »Data Lineage: The History of your Data
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… Read More »Data Science Simplified Part 7: Log-Log Regression Models
