Essential Mathematics for Data Science and Machine Learning: Using R
- Offered byFutureLearn
Essential Mathematics for Data Science and Machine Learning: Using R at FutureLearn Overview
Essential Mathematics for Data Science and Machine Learning: Using R
at FutureLearn
Duration | 4 weeks |
Total fee | ₹900 |
Mode of learning | Online |
Credential | Certificate |
Essential Mathematics for Data Science and Machine Learning: Using R at FutureLearn Highlights
Essential Mathematics for Data Science and Machine Learning: Using R
at FutureLearn
- Duration 4 weeks
- Weekly study 6 hours
- Included in an ExpertTrack Course 5 of 6
Essential Mathematics for Data Science and Machine Learning: Using R at FutureLearn Course details
Essential Mathematics for Data Science and Machine Learning: Using R
at FutureLearn
Skills you will learn
More about this course
- This course is designed to help you get up to speed on the key concepts and notation on which machine learning an AI are based. This course is not a full math curriculum. It's not designed to replace school or college math education. Instead, it focuses on the key mathematical concepts that you'll encounter in studies of machine learning.
- We'll start with some basic algebra to get started with equations and functions, then we'll dive into some differential calculus to explore derivatives and optimization. We'll also look at some linear algebra and cover vectors and matrices, before finally getting to grips with some statistics and probability.
- On completion of this course, you will be able to:
- Apply basic Mathematical principles required in Data Analytics
- Demonstrate your understanding of Algebra Fundamentals
- Demonstrate your understanding of Quadratic Equations and Functions
- Demonstrate understanding of Differential Calculus Foundations
- Demonstrate understanding of Vectors and Matrices
- Demonstrate understanding of Statistics and Probability
Essential Mathematics for Data Science and Machine Learning: Using R at FutureLearn Curriculum
Essential Mathematics for Data Science and Machine Learning: Using R
at FutureLearn
Course Introduction
About this Course
Algebra Fundamentals
Exponents and Polynomials
Factorisation, Quadratic Equations and Functions
Wrapping Up the Week
Differential Calculus
Differential Calculus Foundations
Differentiation and Derivatives
Multivariate Differentiation and Integration
Week 2 Wrap-Up
Vectors and Matrices
Vectors
Matrices
Week 3 Wrap-Up
Statistics and Probability
Visualising Data
Central Tendencies
Probability
Confidence Intervals and Hypothesis Testing
Course Wrap-Up
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