Statistics & Linear Algebra for Machine Learning

Math Behind ML Algorithms | Linear Algebra | Hypothesis Testing | ANOVA

Created by: SeaportAi .
Artificial Intelligence and Business Transformation Experts

What Will I Learn?

• You will understand the fundamentals of mathematics and statistics relevant for machine learning
• You will gain insights on the application of math and stats on machine learning
• You will know what problems Machine Learning can solve, and how the Machine Learning Process works
• You will learn Measures of Central Tendency vs Dispersion
• You will understand Mean vs Standard Deviation & Percentiles
• You will have clarity on the Types of Data & Dependent vs independent variables
• You will be knowledgeable on Probability & Sample Vs population
• You will gain clarity on Hypothesis testing
• You will learn the Types of distribution & Outliers
• You will understand the maths behind algorithms like regression, decision tree and kNN
• You will gain insights on optimization and gradient descent

Requirements

• No prior experience is required. We will start from the very basics.

Target audience

• Data Scientists, Python Programmers, ML Practitioners, IT Managers managing data science projects