Mathematical Foundation For Machine Learning and AI
5.0 /5- Offered byEduonix
Mathematical Foundation For Machine Learning and AI at Eduonix Overview
Mathematical Foundation For Machine Learning and AI
at Eduonix
Duration | 6 hours |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Credential | Certificate |
Mathematical Foundation For Machine Learning and AI at Eduonix Highlights
Mathematical Foundation For Machine Learning and AI
at Eduonix
- Offered by EIT Digital & Politecnico di Milano
- Lifetime Access. No Limits!
- A great course for learning Machine Learning
- Self paced Course
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Mathematical Foundation For Machine Learning and AI at Eduonix Course details
Mathematical Foundation For Machine Learning and AI
at Eduonix
Skills you will learn
Who should do this course?
- Any professionals keen to learn machine learning and AI by using mathematical tools
What are the course deliverables?
- Implement machine learning in R and python
- Solve complex mathematical problems
- Create machine learning algorithms on your own
More about this course
- Learn Machine Learning By Building Projects is a comprehensive programme. This programme helps you to understand the complex concepts of machine learning through mathematics and algorithms. This course will give you a deeper knowledge of mathematics that will help you to build algorithms and networks for your upcoming machine learning and artificial intelligence (AI) projects. The course is divided into three sections, including ?
- Linear Algebra: This helps to describe the parameters and structure of different machine learning algorithms. Linear Algebra also gives an insight of how neural networks should be put together and operate.
- Multivariate Calculus: This helps in learning the subject in an easier manner with the help of examples and parameters of different models for better performance.
- Probability Theory: This topic covers key probability distributions, useful in designing deep learning or AI algorithms.
- The course also includes some projects and quizzes, which help to understand the mathematical concepts better. The mode of learning is online self-study.
Mathematical Foundation For Machine Learning and AI at Eduonix Curriculum
Mathematical Foundation For Machine Learning and AI
at Eduonix
Section 1 : Introduction
Introduction
Section 2 : Linear Algebra
Scalars, Vectors, Matrices, and Tensors
Vector and Matrix Norms
Vectors, Matrices, and Tensors in Python
Special Matrices and Vectors
Eigenvalues and Eigenvectors
Norms and Eigendecomposition
Section 3 : Multivariate Calculus
Introduction to Derivatives
Basics of Integration
Gradients
Gradient Visualization
Optimization
Section 4 : Probability Theory
Intro to Probability Theory
Probability Distributions
Expectation, Variance, and Covariance
Graphing Probability Distributions in R
Covariance Matrices in R
Section 5 : Probaility Theory
Special Random Variables
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Mathematical Foundation For Machine Learning and AI at Eduonix Students Ratings & Reviews
Mathematical Foundation For Machine Learning and AI
at Eduonix
5/5
2 Ratings- 4-52
M
Mitali Saini
Mathematical Foundation For Machine Learning and AI
Offered by Eduonix
5
Good approach to learning
Other: Being a newbie to machine learning this course helped me a lot, helped to understand many concepts.
Reviewed on 29 Jul 2019Read More
A
Aditya Bansal
Mathematical Foundation For Machine Learning and AI
Offered by Eduonix
5
Nicely explained concepts
Other: Well-defined modules. Would like to take up a Big Data and Hadoop course too.
Reviewed on 29 Jul 2019Read More
View All 2 Reviews
Mathematical Foundation For Machine Learning and AI
at Eduonix
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