Neural networks have received a lot of hype in recent years, and for good reason. With a basic understanding of this deep learning theory, we can create technology that solves complex problems with human, and sometimes superhuman, capabilities. Whether it be advanced signal processing, object detection, intelligent decision making, or time series analysis, neural networks are a … [Read more...] about What is an artificial neural network?

# Machine Learning

## Proving Convexity of Mean Squared Error Loss Function

In this blog post, we shall prove the convexity for the Mean Squared Error Loss function used in a traditional Regression setting.In case you haven’t checked out my previous blog — The Curious Case of Convex Functions, I would highly recommend you do. The blog focuses on the basic building blocks for proving/testing the convexity of a function.With that in mind, let us start by … [Read more...] about Proving Convexity of Mean Squared Error Loss Function

## ModelOps: The Key to Unlocking the Future of AI

ModelOps approach to discover, deploy, manage & govern machine learning at scaleOnly about half of all machine learning models actually get deployed. Far fewer produce real value. Many early adopters have invested millions, but remain unimpressed and discouraged by the lack of returns thus far. For most organizations, getting “out of the lab” and into “production” is too … [Read more...] about ModelOps: The Key to Unlocking the Future of AI

## Introduction to Time Series Analysis and key concepts

Stationarity, Random walk, White noise, TS models and evaluation of modelsIn this article, we am going to examine what is time series analysis, its scope in the future and key concepts of time series analysis.Photo by Panwar Abhash AnilIntroduction: What is time series analysis and its importance?What is stationary in time series and its types?White Noise & Random WalkACF … [Read more...] about Introduction to Time Series Analysis and key concepts

## DATA SCIENCE: A Ranking Model for Citizen Engagement in Smart-City

Machine Learning are numerical predictions and don’t have so much to show except the confusion matrixes. The best way to evaluate our models’ performance is to look and different accuracy scores.Classification Accuracy is what we usually mean, when we use the term accuracy. Probably the most straightforward and intuitive metric for classifier performance. It is the ratio of … [Read more...] about DATA SCIENCE: A Ranking Model for Citizen Engagement in Smart-City