In this post, you will learn the concepts of Stochastic Gradient Descent (SGD) using a Python example. Stochastic gradient descent is…
In linear regression, dummy variables are used to represent the categorical variables in the model. There are a few different…
Can innovation be taught and learned in a methodical manner? Can there be an innovation playbook using which, given a…
In relation to machine learning, linear regression is defined as a predictive modeling technique that allows us to build a…
In this blog post, we'll be discussing correlation concepts, matrix & heatmap using Seaborn. For those of you who aren't…
Blockchain is a distributed database that allows for secure, transparent, and tamper-proof transactions. It was first introduced in 2009 as…
There are many clustering machine learning algorithms to choose from when you want to cluster data. But which one should…
Realizing value from AI/data science or machine learning projects requires the coordination of many different teams based on an appropriate…
When it comes to data science, there are two main types of reasoning that you need to be familiar with:…
What is data quality? This is a question that many people ask, but it is not always easy to answer.…