Probability for Machine Learning

edX MOOC / Non-credit USD 49
Enroll now →
Probability for Machine Learning

About this course

Master probability fundamentals for machine learning. Explore probability rules, distributions, Bayes’ Theorem, and evaluation metrics like ROC and precision-recall curves. Build the skills to interpret uncertainty, model data, and make confident, data-driven decisions in ML applications.

What you'll learn

  • understand fundamental probability concepts
  • apply Bayes' Theorem in practical scenarios
  • evaluate models using ROC and precision-recall curves
  • interpret uncertainty in data

Skills you'll gain

machine learning fundamentalsdata modelingprobabilitydata-driven decisionsbayes theoremuncertaintyROC curveml metricsprecision-recall

Related courses

Machine Learning for Trading
USD 49
Data Science Foundations
USD 49
DataPrep for H2O Driverless AI
USD 49
Internet of Things and AI Cloud
USD 49
Statistical Learning for Data Science
USD 49
The Complete Quantum Computing Course
USD 199.99
Fundamentals of Natural Language Processing
USD 49
Information Extraction from Free Text Data in Health
USD 49
Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.