[F4LT] Probability for Data Science

[mindpower]

Probability for Data Science
Covers the probability concepts essential for data science
New
Rating: 5.0 out of 5
(1 rating)
469 students
1hr 56min of on-demand video

Description
A strong understanding of probability is critical for becoming a successful data scientist. Probability is a key mathematical concept that is essential for modeling and understanding computer system performance and real-world data generated from day-to- day activities and interactions. In particular areas such as data science, machine learning, natural language processing and computer vision rely heavily on probabilistic models.

This short course in probability is designed to provide the necessary background for learning and understanding machine learning and data science concepts. Specifically, the course will introduce the concept of probability, provide an overview of discrete random variables and describe how to compute expectation and variance. The course will also discuss specific distributions such as geometric, binomial and Poisson distributions. The course includes multiple worked-out examples so that students can appreciate how to apply the concepts learnt in the lectures.

https://www.udemy.com/course/probability-for-data-science/

Enjoy!