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Mathematics for Data Science: Essential Mathematics for Machine Learning and AI

Cloudswyft via FutureLearn

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Overview

A solid foundation in mathematical knowledge is vital for the development of artificial intelligence (AI) systems. What are the key maths skills required to study machine learning and AI? If you havent studied mathematics since school and have forgotten what youve learned, this primer course will provide you with the education you need. What mathematics do I need to know to launch a career in artificial intelligence? The course will cover the three main branches of mathematics used in data...

Syllabus

  • Course Introduction
    • About this Course
    • Algebra Fundamentals
    • Exponents and Polynomials
    • Factorisation, Quadratic Equations and Functions
    • Wrapping Up the Week
  • Differential Calculus
    • Differential Calculus Foundations
    • Derivatives
    • Differentiation
    • Wrapping Up the Week
  • Vectors and Matrices
    • Vectors
    • Matrices
    • Matrix Transformations
    • Wrapping Up the Week
  • Statistics and Probability
    • Visualising Data
    • Central Tendencies
    • Probability
    • Confidence Intervals and Hypothesis Testing
    • Wrap Up and Course Completion
Mathematics for Data Science: Essential Mathematics for Machine Learning and AI
Go to Class

Cloudswyft via FutureLearn

5 hours

Certificate Available

English

On-Demand

Beginner

Instructor

Cloud

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