Before You Proceed…
Overview Of Sem 1
AIML Semester 1 will ideally have four subjects (listed below); Each subject will have a prescribed handout which lists the topics and syllabus for that course. Each course will have quizzes, assignments, (EC1) mid-semester exam (EC2), final-semester exam (EC3).
Exam results are usually displayed on the mettle portal and you can download the PDF of your results for your reference. Example report of ISM EC3(Final Exam) can be found here
1. Mathematics For Machine Learning (MML/MMFL)
MFML is one of the toughest subjects in AIML semester one. Since it involves understanding of the concepts thoroughly, this is not a subject you can just a day before exam and still score good marks. But, this subject can be easily conquered if concepts are understood well. Previous Year Handout Link
Recommended Books
Don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well.
Books for Open Book Exams as per handout (click on each for purchase links)
Books Recommended By Seniors for easy learning (click on each for purchase links)
MFML Previous Year Question Papers
Practice previous year question papers as much as possible to maximise your scores.
EC-2 Mid Semester Previous question papers
EC-3 End Semester Previous question papers
Study Guides
Topic Wise Notes (Free + Premium)
2. Introduction To Statistical Management (ISM)
ISM is one of the easiest subjects, this is very scoring. Solve as many questions as possible from J L Devore book. Previous Year Handout Link
Recommended Books
Don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well.
Books for Open Book Exams as per handout (click on each for purchase links)
- Statistics for data scientists - Maurits Kaptein
- Probability & statistics for engineering & sciences - J L Devore
Books Recommended By Seniors for easy learning (click on each for purchase links)
ISM Previous Year Question Papers
Practice previous year question papers as much as possible to maximise your scores.
EC-2 Mid Semester Previous question papers
EC-3 End Semester Previous question papers
Topic Wise Notes (Free + Premium)
3. Deep Neural Networks (DNN)
DNN is one of the most relevant subjects, Very practical and useful in the current AI ecosystem. Very important to understand this subject thoroughly. Exams will have a mix of numerical, justifications, reasoning questions. Previous Year Handout Link
Recommended Books
Don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well.
Books for Open Book Exams as per handout (click on each for purchase links)
- Dive into Deep Learning - Aston Zhang
- Deep Learning - Ian Goodfellow, Yoshua Bengio
Books Recommended By Seniors for easy learning (click on each for purchase links)
- Dive into Deep Learning - Aston Zhang
DNN Previous Year Question Papers
Practice previous year question papers as much as possible to maximise your scores.
EC-2 Mid Semester Previous question papers
EC-3 End Semester Previous question papers
Topic Wise Notes (Free + Premium)
4. Machine Learning (ML)
ML is one of the easiest subjects, this is very scoring. Conceptual clairty is important in this subject. Previous Year Handout Link
Recommended Books
Don’t buy all the books as per handout and waste your money; What I recommended below is enough to cover all topics to score well.
Books for Open Book Exams as per handout (click on each for purchase links)
- Machine Learning - Tom M Mtichell
- Pattern Recognition & Machine Learning - Christopher M. Bishop
Books Recommended By Seniors for easy learning (click on each for purchase links)
ML Previous Year Question Papers
Practice previous year question papers as much as possible to maximise your scores.
EC-2 Mid Semester Previous question papers
EC-3 End Semester Previous question papers
Study Guides
Topic Wise Notes (Free + Premium)
FreeNotes:
Frequently Asked Questions (FAQs)
Will they allow Textbooks in exams?
Textbooks are allowed in the final exam (EC3)
What is the passing criteria?
It will totally depend on the toughness of the paper and performance of your class.