AI

Difference between Machine Learning & Traditional Software

In this post, we will understand what are some of the key differences between machine learning models and traditional/conventional software.…

5 years ago

Neural Network Architecture for Text-to-Speech Synthesis

In this post, you would learn about a neural network reference solution architecture which could be used to convert the…

5 years ago

Reverse Image Search using Deep Learning (CNN)

In this post, you will learn about a solution approach for searching similar images out of numerous images matching an…

5 years ago

Why Data Scientists Must Learn Statistics?

In order to understand the need for data scientists to be very good at the statistical concepts, one needs to…

5 years ago

When not to use F-Statistics for Multi-linear Regression

In this post, you will learn about the scenario in which you may NOT want to use F-Statistics for doing the hypothesis…

5 years ago

Machine Learning – Cloud-native Model Deployments

In this post, we are going to learn about the cloud-native machine learning model deployments.  Cloud-native Deployments First and foremost,…

5 years ago

What, When & Why of Regularization in Machine Learning?

In this post, we will try and understand some of the following in relation to regularizing the regression machine learning…

5 years ago

Unit Tests & Data Coverage for Machine Learning Models

This post represents thoughts on what would it look like planning unit tests for machine learning models. The idea is to…

5 years ago

Machine Learning Cheat sheet (Stanford)

Here is a great set of cheat sheet on some of the following topics: Supervised learning Unsupervised learning Deep learning…

5 years ago

Machine Learning Models used in Facebook

This post quickly represents machine learning projects and related machine learning models. The above diagram represents the usage of the…

6 years ago