Neural networks are an important part of machine learning, so it is essential to understand how they work. A neural…
Probability distributions are an essential concept in statistics and data analysis. They describe the likelihood of different outcomes or events…
The field of machine learning is rapidly evolving, and with it, the concepts and techniques that are used to develop…
Sequence to sequence (Seq2Seq) modeling is a powerful machine learning technique that has revolutionized the way we do natural language…
Have you ever felt overwhelmed by all the statistics terminology out there? From sampling distribution to central limit theorem to…
In the artificial intelligence (AI) / machine learning (ML) powered world where predictive models have started getting used more often…
Geometric Distribution, a widely used concept in probability theory, is used to represent the probability of achieving success or failure…
Machine learning models are often trained with a variety of different methods in order to create a more accurate prediction.…
The Classification and Regression Tree (CART) is a supervised machine learning algorithm used for classification, regression. In this blog, we…
Decision tree is one of the most commonly used machine learning algorithms which can be used for solving both classification…
The two-way analysis of variance (ANOVA) test is a powerful tool for analyzing data and uncovering relationships between a dependent…
In statistics, population and sample are two fundamental concepts that help us to better understand data. A population is a…
Bayesian thinking is a powerful way of looking at the world, and it can be useful in many real-life situations.…
Understanding the differences between true error and sample error is an important aspect of data science. In this blog post,…
In this post, you will learn about the statistics concepts of confidence intervals in relation to machine learning models with…
Hidden Markov models (HMMs) are a type of statistical modeling that has been used for several years. They have been…