Last updated: 15th Dec, 2023 In this post, the linear regression concepts in machine learning is explained with multiple real-life…
In linear regression, R-squared (R2) is a measure of how close the data points are to the fitted line. It…
In the artificial intelligence (AI) / machine learning (ML) powered world where predictive models have started getting used more often…
Setting up a successful artificial intelligence (AI) / data science or advanced analytics practice or center of excellence (CoE) is…
Quick code sample on how to concatenate the data frames columns. We will work with example of Boston dataset found…
In this post, you would learn about a neural network reference solution architecture which could be used to convert the…
In this post, you will learn about a solution approach for searching similar images out of numerous images matching an…
In order to understand the need for data scientists to be very good at the statistical concepts, one needs to…
In this post, we will try and understand some of the following in relation to regularizing the regression machine learning…
This post represents thoughts on what would it look like planning unit tests for machine learning models. The idea is to…
In this post, you will learn about different programming languages which can be used to create (train) machine learning models…
In this post, you will get to know a list of introduction slides (ppt) for machine learning. These slides could…
In this post, you will get to know the list of Andrew NG Machine Learning Coursera Videos. Here is the information: Youtube…
In this post, you get the information related to MIT OCW machine learning course from MIT OpencourseWare (OCW). They use Matlab as…
In this post, you will learn about some of the following insurance applications use cases where machine learning or AI-powered solution can be applied:…
In this post, you will learn about how to create an Ethical AI Framework which could be used in your organization. In case, you…