Likelihood Estimation - THE MATH YOU SHOULD KNOW!

Likelihood is a confusing term. It is not a probability, but is proportional to a probability. Likelihood and probability can't be used interchangeably. In this post, we will be dissecting the likelihood as a concept and understand why likelihood is important in machine learning. We will also talk about Maximum Likelihood Estimation. Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b ^ This is an accompanying blog post that describes the concepts mentioned in the video. Please clap, follow there for more articles. Joins us on D I S C O R D: https://discord.gg/3C6fKZ3E5m ⭐ Coursera Plus: $100 off until September 29th, 2022 for access to 7000+ courses: https://imp.i384100.net/Coursera-Plus MATH COURSES (7 day free trial) 📕 Mathematics for Machine Learning: https://imp.i384100.net/MathML 📕 Calculus: https://imp.i384100.net/Calculus 📕 Statistics for Data Science: https://imp.i384100.net/AdvancedStatistics 📕 Bayesian Statistics: https://imp.i384100.net/BayesianStatistics 📕 Linear Algebra: https://imp.i384100.net/LinearAlgebra 📕 Probability: https://imp.i384100.net/Probability OTHER RELATED COURSES (7 day free trial) 📕 ⭐ Deep Learning Specialization: https://imp.i384100.net/Deep-Learning 📕 Python for Everybody: https://imp.i384100.net/python 📕 MLOps Course: https://imp.i384100.net/MLOps 📕 Natural Language Processing (NLP): https://imp.i384100.net/NLP 📕 Machine Learning in Production: https://imp.i384100.net/MLProduction 📕 Data Science Specialization: https://imp.i384100.net/DataScience 📕 Tensorflow: https://imp.i384100.net/Tensorflow RESOURCES Resources [1] Code Emporium, Gradient Descent - the math you should know (2019), YouTube: https://www.youtube.com/watch?v=-p1ldISb90Q&ab_channel=CodeEmporium [2] Stephen Pettigrew, From model to log-likelihood (2014), University of Pennsylvania: http://www.stephenpettigrew.com/teaching/gov2001/section4_2014.pdf [3] Liyan Xu, Machine Learning