Mathematics for ML detailed syllabus for Artificial Intelligence & Machine Learning (AM) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Artificial Intelligence & Machine Learning students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Artificial Intelligence & Machine Learning 4th Sem scheme and its subjects, do visit Artificial Intelligence & Machine Learning (AM) 4th Sem 2021 revision scheme. The detailed syllabus of mathematics for ml is as follows.
Course Objectives:
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Course Outcomes:
On completion of the course, the students will be able to:
- Solve the system of linear equations and implement Eigenvalues and Eigenvectors in engineering problems 1
- Utilize the concept related to partial derivatives to solve problems of maxima and minima of multivariable functions.
- Apply the concepts of probability for solving problems.
- Assess data using statistical methods and analyze that data by hypothesis testing methods.
Module 1:
Vector spaces: Vector spaces, linear independence, basis and rank, linear combination of vectors, linearly independent and dependent vectors, rank of a matrix Systems of linear equations:- Method of solution:- Gauss Elimination Method ,Eigenvalues and Eigenvectors and their properties.
Module 2:
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Module 3:
Probability: Axiomatic definition – sample space, dependent and independent events conditional probability,Bayes’ Theorem Random variables: Discrete and continuous random variables, expectation, variance, Probability distributions- binomial, poisson
Module 4:
Fundamentals of Data: Collection, Summarization, and Visualization, Measures of central tendency and dispersion,Sampling and Sampling Distributions, Types of Errors, level of significance, Confidence Interval Estimation and Hypothesis Testing for Z -test and t- Test.
Text Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Online Resources
- https://www.w3schools.com/ai/ai_mathematics.asp
- https://mml-book.github.io/book/mml-book.pdf
For detailed syllabus of all other subjects of Artificial Intelligence & Machine Learning (AM), 2021 revision curriculum do visit Artificial Intelligence & Machine Learning 4th Sem subject syllabuses for 2021 revision.
To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..
To see the results of Artificial Intelligence & Machine Learning (AM) of diploma 2021 revision curriculum do visit SITTTR diploma Artificial Intelligence & Machine Learning (AM) results..
For all Artificial Intelligence & Machine Learning academic calendars, visit Artificial Intelligence & Machine Learning all semesters academic calendar direct link.