Machine Learning for Engineering & Science Applications | IIT Madras - #84 Probability Distributions | Gaussian | Bernoulli

Unlock the Future: Master AI & Machine Learning with NPTEL-IITM’s Comprehensive Course! Dive into Neural Networks, Deep Learning, Probabilities, and Optimization Techniques tailored for Engineering & Science Applications. Your AI journey starts here!

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What you'll learn

Understand the historical development and foundational concepts of artificial intelligence.
Gain proficiency in applying machine learning techniques to engineering and science problems.
Develop skills in using linear algebra and calculus for machine learning modeling.
Learn to implement and optimize machine learning algorithms using Python packages.

This course includes

32 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

Probability Distributions Gaussian Bernoulli

Full Transcript

Welcome to 'Machine Learning for Engineering & Science Applications' course ! This lecture discusses probability distributions, specifically the Bernoulli and Gaussian distributions. The Bernoulli distribution is used to model binary events, while the Gaussian distribution is used to model continuous variables. The likelihood of a dataset is the probability of observing the dataset given the parameters of the distribution. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #ProbabilityDistributions #GaussianDistribution #BernoulliDistribution #Likelihood #LogLikelihood