28
May
KL Divergence – The complete guide
Kullback-Leibler (KL) divergence, also known as relative entropy, is a measure of how one probability distribution diverges from another. It is commonly used in information theory and statistics to...
- Read More
- 01MayRead More
Understanding the Different Types of Probability Distribution Curves in Statistics
In this article we will try to understand different types of probability distribution curves in statistics written by our Student Revathi. If you are an aspiring data scientist you...
- 17AugRead More
Discrete Vs Continuous Probability Distribution
Statistics is a critical milestone to comprehend data science. In this article, we will discuss the difference between continuous and discrete probability distribution written by our student Jeeva as...
- 14AugRead More
Logistic Regression – The ground to Deep Learning
This article gives a basic overview of one of the most popular machine learning algorithms. But before jumping into the article, if you are an aspiring data scientist don’t...
- 10AugRead More
Basic data visualization guide for data scientists
This article will give an intro to basic data visualization and its importance in the field of data science. This article is part of our students’ knowledge share program...
03JunRead Moreimportance of mathematics in data science
In this article, we will see the importance of mathematics in data science and also a few resources from where one can master mathematics fundamentals and apply them to...
- 12AprRead More
Importance of statistics in data science
In this series of articles, we will try to understand the importance and impact of different topics in data science. In this article, we will see the importance of...
- 15FebRead More
Freshers in data science
Who is considered freshers in data science? Students with 0 to 1 year of experience will be considered freshers in the data science world. Internship experience can help you...
- 15NovRead More
Before selecting a data science
Data science is a popular course among working professionals and engineering students. In this article, we are going to discuss the prerequisites before joining professional data science courses. Questions...
- 17OctRead More
Regression analysis Loss Function
In the last article, we have discussed the fundamentals of regression analysis and understood the importance of the mean of normal distribution for machine learning models. You can read...
