In the realm of data science, the ability to accurately model and analyze data is paramount. Central to this capability is the concept of parameter estimation, a critical process that involves identifying the values of parameters within a probability distribution that best describe a given dataset. Accurate estimation and fitting of these distributions allow us… Read More »Parameter Estimation
In this article we will look in detail about the practical applications and industry use cases for common distribution functions. Distribution PMF/PDF Mean(E[X]) Variance(Var(X)) Bernoulli Binomial Geometric Poisson Uniform Bernoulli Distribution The Bernoulli distribution is a discrete probability distribution for a random variable which has exactly two possible outcomes, usually termed as “success” and “failure”,… Read More »Common Distribution Functions
Probability Mass Function (PMF) A probability mass function (PMF) is a function that gives the probability that a discrete random variable is exactly equal to some value. In other words, it maps each possible outcome of a random variable to its probability of occurrence. Here’s a more formal definition: Let X be a discrete random… Read More »Probability Mass Functions: Use Cases
YouTube is undoubtedly the world’s leading video sharing social platform, with 3.9 billion videos, 2.49 billion active users and 100 million subscribers. (as of 2024) Recommendations drive a significant amount of the overall viewership on YouTube, even more than channel subscriptions or search. The success of YouTube’s recommendations depends on accurately predicting the videos you… Read More »Applied Data Science : YouTube Recommendations
In today’s data-driven era, understanding the vocabulary and principles of data science and artificial intelligence (AI) is crucial for professionals and enthusiasts alike. From finding insights through data mining to enabling machines to think like humans, each term holds significance in driving progress and innovation. In this article, we’ll explore the key terms used in… Read More »Data Science vs AI
In the dynamic landscape of data science, certifications play a crucial role in validating expertise, enhancing credibility, and staying competitive. They signify proficiency in essential areas like statistical analysis, machine learning, and programming languages. Certifications offer a structured learning path, providing theoretical knowledge and practical experience with real-world datasets. Employers value certifications as a benchmark… Read More »Data Science Certifications