Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc. He has also authored the book, Building Web Apps with Spring 5 and Angular.
In this post, you will learn the definition of 25 different types of probability distributions. Before we get into understanding…
A quick post representing code sample on how to print unique values in Dataframe columns in Pandas. Here is a…
This is a quick post representing code sample related to how to extract month & year from datetime column of…
This post represents a quick code sample in relation to uploading a CSV file from local drive to Google Colab…
Quick code sample on how to concatenate the data frames columns. We will work with example of Boston dataset found…
In this post, we will understand what are some of the key differences between machine learning models and traditional/conventional software.…
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, you will learn about the scenario in which you may NOT want to use F-Statistics for doing the hypothesis…
In this post, you will learn about the concept of R-Squared in relation to assessing the performance of multilinear regression machine…
In this post, we are going to learn about the cloud-native machine learning model deployments. Cloud-native Deployments First and foremost,…
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 the confusion matrix with examples and how it could be used as performance…
Here is a great set of cheat sheet on some of the following topics: Supervised learning Unsupervised learning Deep learning…