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Mathematics for Machine Learning: PCA
by Marc Peter Deisenroth- 4
Approx. 18 hours to complete
The lectures, examples and exercises require: Good background in linear algebra (e. Disclaimer: This course is substantially more abstract and requires more programming than the other two courses of the specialization. However, this type of abstract thinking, algebraic manipulation and programming is necessary if you want to understand and develop machine learning algorithms....
First Steps in Linear Algebra for Machine Learning
by Dmitri Piontkovski , Vsevolod L. Chernyshev- 4.1
Approx. 21 hours to complete
The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and machine learning. Another goal is to improve the student’s practical skills of using linear algebra methods in machine learning and data analysis. Introduction to Linear Algebra Abstract algebra and linear algebra...
Discrete Mathematics
by Miran Fattah- 4.5
19 hours on-demand video
The goal of this course is to build the mathematical foundation for computer science courses such as data structures, algorithms, relational and database theory, and for mathematics courses such as linear and abstract algebra, combinatorics, probability, logic and set theory, and number theory....
$21.99
Learn PMP Math EVM Concepts in 1 Hr to Dominate the PMP Exam
by Garrett Heath- 4.6
1 hour on-demand video
Like thinking about doing math instantly transports you back to being an awkward high school student that dreaded going to algebra class?...
$11.99
Functional Program Design in Scala
by Martin Odersky- 4.5
Approx. 35 hours to complete
4 - Abstract algebra and type classes...
Computer Science: Algorithms, Theory, and Machines
by Robert Sedgewick , Kevin Wayne- 4.7
Approx. 20 hours to complete
Boolean algebra...