Blog Posts

Training Large Language Models (LLMs) requires huge computing power and...

We all know that healthcare continues to adopt cutting-edge AI...

The truth is the hyperbole about AI is largely based...

I was at a meeting last week discussing how AI...

Confidence intervals (CIs) are a fundamental concept in data science....

Creating an optimal model that strikes a balance between underfitting...

The Pearson correlation coefficient (denoted as “r”) is widely used...

Standard deviation and standard error are two statistical measures that...

Let’s explore the Central Limit Theorem (CLT) with an example...

The concept of degrees of freedom is essential in statistical...

William Sealy Gosset, an English statistician who was also a...

Until recently, the concept of zero trust architecture as a...

Data centers are a prime target for compromise because (to...

Handling Outliers in Python In this post, we will discuss...

In this post, let us explore: What is feature selection?...

Principal Component Analysis (PCA) explained with examples In this post,...

In this post, let us explore: Random Forest When to...

Time Series – Basic concepts In this post, let us...

In this post, let us explore: What is the difference...

In this post, let us explore: Ensemble Models Bagging Boosting...

Importing data into Python In this post, we will learn:...

In this post, we will understand how to perform Feature...

Logistic regression is a supervised learning technique applied to classification...

Suppose there are two independent variables (features): x1 and x2....

Decision Tree models are simple and easy to interpret. In...

Heatmap depicts the two-dimensional data (matrix form) in the form...

Importing data into Python In this post, we will learn:...

Train-Test split and Cross-validation Building an optimum model which neither...

Occam’s Razor, Bias-Variance Tradeoff, No Free Lunch Theorem and The...

“A picture is worth a thousand words” A complex idea...

Autoregressive Integrated Moving Average (ARIMA) is a popular time series...

Components of Time Series In this post, let us explore...

Handling Missing Values in Python In this post, we will...

Data Preprocessing – Creating Dummy Variables and Converting Ordinal Variables...

Confusion Matrix, Accuracy, Precision, Recall, F score explained with an...

Building a Deep Learning Model using Keras In this post,...

Deep learning is a powerful machine learning technique. These are...