Hello Aspirant!

Joint Admission Test for MSc (JAM) is an all-India online entrance exam conducted by Indian Institutes of Technology (IITs) each year on a rotational basis on behalf of Ministry of Human Resources Development (MHRD), Government of India. IIT JAM exam is conducted in seven Science subjects (also referred

Hi Pratiksha,

The minimum eligibility criteria for admission in any university for MSc. Mathematics are :

1. Passed Secondary or class 10 Examination.

2. Passed Senior Secondary or class XII Examination.

3. Passed and holds an undergraduate degree from any recognized university.

4. Passed and secured a certain rank in

Hello.

The undergraduate course focuses on developing mathematical skills in algebra, calculus, and data analysis. Students who are interested in pure math and are interested in interpreting data, finding patterns, and determining conclusions are good candidates for a B.Sc. Mathematics degree.

After your graduation from a BSc Mathematics degree,

HELLO ASPIRANT,

mata jija bai college has b.sc, b.com, and b.a courses.

however in b.sc courses it has stream on home science, bio chemistry, pharmaceutical chemistry, computer science .

i hope you may have undserstood.

Hii 

Making Silly Mistake has two reasons firstly lack of Concentration or maybe sometimes one gets in so hurry that they end up making silly mistake and the other reason is lack of practice, so while solving problems firstly concentrate in you problem and try to do it with little

hey pritha 

your question isn't answered yet because you haven't  mentioned the recquired informations . kindly mention your college name in which you have given the entrance exam as well as the name of the entrance exam. you can reframe a new question or just comment below the exam name 

Hi arjun

Most important topics in machine learning and artificial intelligence are:

• Linear algebra
• Calculus
• Probability
• Optimization

These are broken down further into subtopics:

• Linear transformation
• Vector spaces
• Matrixes
• Eigen values and eigen vectors
• Inner product spaces
• Subspaces
• Solution of linear systems
• Limits and infinitesimal
• Integral calculus
• Leibniz theorem
• Probability