Probability & Statistics Fundamentals for Machine Learning
This course provides a comprehensive introduction to the fundamental concepts of probability and statistics, tailored specifically for machine learning enthusiasts. Designed for those with no prior knowledge, this course looks into essential principles using simple, practical examples, guiding learners through the basics of data analysis, probability distributions, and statistical methods. By the end, participants will have a solid foundation to advance further into the field of machine learning.
What You'll Learn
Basic Probability Concepts
Understand and apply basic probability concepts including events, sample spaces, and probability rules.
Descriptive Statistics
Learn to summarize and describe the essential features of a data set.
Probability Distributions
Explore different types of probability distributions and their applications.
Statistical Inference
Gain insights into statistical inference, including hypothesis testing and confidence intervals.
Data Visualization Techniques
Apply data visualization techniques to explore and present data effectively.
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