Machine Learning (Ml) offered by IIIT Delhi
- B++ NAAC accredited
- State University
- Estd. 2008
Machine Learning (Ml) at IIIT Delhi Overview
Machine Learning (Ml)
at IIIT Delhi
Revolutionizing data analysis, Machine Learning (ML) empowers systems to learn, adapt, and make predictions, driving innovation across diverse industries.
Duration | 12 weeks |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Machine Learning (Ml) at IIIT Delhi Highlights
Machine Learning (Ml)
at IIIT Delhi
- Earn a paid certification after completion
- Learn from expert faculty
Machine Learning (Ml) at IIIT Delhi Course details
Machine Learning (Ml)
at IIIT Delhi
Skills you will learn
Who should do this course?
- Senior UG and PG Students
What are the course deliverables?
- Understand fundamental ML concepts, algorithms, and applications
- Develop skills in data preprocessing, feature engineering, and model selection
- Apply ML techniques to solve real-world problems and make data-driven decisions
- Evaluate model performance and implement optimization strategies
More about this course
- This is an introductory course on Machine Learning (ML) that is offered to undergraduate and graduate students. The contents are designed to cover both theoretical and practical aspects of several well-established ML techniques
- The assignments will contain theory and programming questions that help strengthen the theoretical foundations as well as learn how to engineer ML solutions to work on simulated and publicly available real datasets
- The project(s) will require students to develop a complete Machine Learning solution requiring preprocessing, design of the classifier/regressor, training and validation, testing, and evaluation with quantitative performance comparisons. Each week’s theory contents will be accompanied with a tutorial on python
Machine Learning (Ml) at IIIT Delhi Curriculum
Machine Learning (Ml)
at IIIT Delhi
Week 1: Introduction to Machine Learning
Week 2:Review of Linear Algebra continued
Week 3: Continuation-Review of Linear Algebra continued
Week 4:Logistic Regression + (Tutorial-2: Hands On Python Examples)
Week 5:Multilayer Perceptron (MLP)/NN and Optimization + (Tutorial-3: Hands On Python Examples)
Week 6:Practical Machine Learning
Week 7:Support Vector Machines
Week 8:Continuation- Support Vector Machines
Machine Learning (Ml) at IIIT Delhi Faculty details
Machine Learning (Ml)
at IIIT Delhi
Prof. Anubha Gupta
Machine Learning (Ml) at IIIT Delhi Entry Requirements
Machine Learning (Ml)
at IIIT Delhi
Eligibility criteria
- Mandatory Prerequisites:
- 1. Programming (Python)
- 2.Matrix calculus
- 3.Probability Theory
- Desirable Prerequisites:
- 1. Linear Algebra
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Machine Learning (Ml)
at IIIT Delhi
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Machine Learning (Ml) at IIIT Delhi Contact Information
Machine Learning (Ml)
at IIIT Delhi
Address
Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station
Delhi
Phone
01126907404
(For general query)
01126907400
(For admission query)
Email
registrar@iiitd.ac.in
(For general query)
info@iiitd.ac.in
(For admission query)
Go to College Website ->
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