Modern Machine Learning

About Course

poster

iHub-Data(IIIT-Hyderabad) is dedicated to enhancing the quality of education in cutting edge areas of Artificial intelligence. It has strong research programs in machine learning, image processing, computer vision, robotics, natural language processing, pattern recognition and speech processing. iHub-Data is happy to announce a foundation program in machine learning for aspiring engineering students across India.

To Register please fill the form Registration Form

Who can participate?

Students from various engineering colleges across India
Undergraduate engineering students ( third and fourth year) from the following streams:

Computer Science/Information Technology or other allied branches
Electronics Engineering or other allied branches
Electrical Engineering or other allied branches

What makes this program unique?

50-week certificate program in Modern Machine Learning (equivalent to a typical 4 credit course as per AICTE/UGC norms)
Online modules with personalised learning experience
Equal focus on foundation and practices
Cash awards on successful completion
Discussions with eminent researchers from academics and industry

What is the qualifying criteria?

Students need to be nominated by their respective college through their HoD’s
Selected students undergo a preparatory module
The final selection of students is based on student performance during the preparatory module

Course Fees

The participation fee for this 50-week course would be INR 10,000 + tax. Financial assistance will be provided for deserving students.

Instructors

C. V. Jawahar

IIIT Hyderabad

Anoop M. Namboodiri

IIIT Hyderabad

Ravi Kiran Sarvadevabhatla

IIIT Hyderabad

C.K. Raju

IHub-Data

Teaching Team

Thrupthi Ann John

I am a research scholar working with Prof. C V Jawahar and Prof. Vineeth N Balasubramanian at the Computer Vision and Information Technology Lab (CVIT) in IIIT Hyderabad. My research interests include deep algorithms for face tasks, visualization of deep algorithms and solving computer vision problems using deep learning. In my spare time, I like to draw and paint.

Ekta Gavas

I am a graduate research student at IIIT Hyderabad working with Dr. Anoop Namboodiri. My areas of interest are Deep Learning and Computer Vision. I have worked on a few small-scale projects in these areas here at IIIT. Currently, I am exploring the field of biometrics with Deep Learning, in particular, face recognition for my research.

Pranav Tadimeti

I am a research student at the Centre for Visual Information Technology, IIIT-H. My work involves experimenting with various Computer Vision detection techniques to extract various regions of interest in ancient Indic manuscripts.

Animesh Sinha

Hi! I am a research student at IIIT. I am most interested in Algorithmic Theory (competitive programming 😋), and Intelligent Systems. For my research, I work on Reinforcement Learning Algorithms applied to Compilation and Algorithms for Near-term Noisy Quantum devices. More details are at https://researchweb.iiit.ac.in/~animesh.sinha/.

Bhuvanesh Sridharan

Hello! I am a research student at the Centre for Computational Natural Science and Bioinformatics, IIIT Hyderabad. My work primarily involves using Deep Reinforcement Learning and ML to solve tasks pertaining to inverse molecular problems and Chemistry.

Tanish Lad

Hello! I am a research student at the Language Technologies Research Centre, IIIT Hyderabad. My work primarily involves using Deep Learning and ML to solve tasks pertaining to Text Classification in Indian Languages.

Vinod Kumar Kurmi

I am a post-doc research fellow at KU Leuven, Belgium. Earlier, I was a post-doc fellow at IIIT Hyderabad. I obtained Ph.D. and M.Tech from Indian Institute of Technology Kanpur in 2020 and 2014, respectively. My research areas are related to Computer Vision (CV), Deep Learning (DL), and Machine Learning (ML). I work on problems related to domain adaptation, incremental learning, and multimodal representation learning. I am also interested in working in fairness in ML, NLP, and speech processing problems.

Sahil Manoj Bhatt

I am a research student at the Language Technologies Research Centre, IIIT Hyderabad. My work primarily involves exploring various Deep learning architectures and applying them to solve various tasks in the areas of Natural Language Processing, such as Summarization and Text Classification. Other areas of interest include Computer Vision and Data Analytics.

Arpan Dasgupta

I am a research student at the Center for Security Theory and Algorithms at IIIT Hyderabad. I work on large scale machine learning optimizations. My interests lie in mathematics, ML and computer programming.

Pranav Kirsur

Hello! I am currently a research student at the Center for Visual Information Technology, IIIT Hyderabad. I am working on problems related to 3D Reconstruction, Neural Rendering, and using Event Cameras for vision applications.

Kushagra Agarwal

Hi! I am a research student at the Centre for Computational Natural Science and Bioinformatics, IIIT Hyderabad. My research work primarily involves understanding SARS-CoV-2 dynamics through viral RNA sequence analysis and Minimizer sampling-based Algorithms for Genome Size Estimation. I have also been working on the application of ML in Parkinson's Disease Prediction, MOSFET optimization and Bone segmentation using Micro-CT scans of mice.

Yoogottam Khandelwal

Hello! I am currently a researcher at the Centre for Visual Information Technology (CVIT), IIIT Hyderabad. I'm really interested in Computer Vision and Deep Learning. I'm currently working on problems related to speech to lip generation.

Invited Speakers

We will update soon.

Syllabus

This 50-week course will discuss in detail, important contemporary topics in machine learning through video lectures, laboratory experiments and projects. The broad contours of modern machine learning will include the following topics:

Feature Vectors, Feature Spaces
Feature Extraction
Learning Problem Formulation

Dimensionality Reduction
Data Visualization

Nearest Neighbour methods
Linear Classifiers, Perceptrons, Gradient Descent
Multi-class classifiers
Decision Trees

Training, Testing and Validation
Overfitting and Generalization
Feature Engineering
Performance Metrics

Bayes and Naive Bayes Classifiers
Mixture Models
MLE and MAP Estimates

K-Means, EM and Mixture Model Fitting
Similarity Metrics, Criterion Functions
Graph-based clustering; Hierarchical Clustering

Linear and Logistic Regression
Regularization

Multilayer Perceptrons
Back-propagation, Training strategies

Convolutional Neural Networks
Recurrent Neural Networks
Autoencoders

Download as [pdf]

Schedule

We will update soon.

Cash Awards

There will be cash awards to all students who successfully complete the course.

Top 5% of those who successfully complete the course : INR 25000 each.
Next 20% of those who successfully complete the course : INR 15000 each.
Next 25% of those who successfully complete the course : INR 10000 each.
All the rest of the students who complete the course successfully : INR 8000 each.

Here are some Frequently Asked Questions

How is this course different from other courses?
This program uniquely combines the benefits of an in-class program with the flexibility of online learning. Recorded classes give the participants the flexibility of learning at their pace. The live interactions with the faculty and mentors helps them to clarify their doubts and queries.
What is the course fee?
The course fee is Rs.10,000 + tax. It has to be made as a one-time payment at the time of enrollment.
Are fellowships/scholarships available?
Cash awards will be given to those who successfully complete the course.
Will I receive a certificate at the end of the course?
Yes, a certificate of achievement from IIIT-H will be awarded upon successful completion of the course.
How will my doubts/queries be resolved in the online class?
Live sessions with the IIIT-H faculty will enable the participants to clear their doubts. Also theteaching assistants will be available to clear doubts during the one to one mentoring sessions. Mentors will be available to help with any difficulty the participant is facing with regards to the program.
Will I get a refund if I wish to discontinue?
Participants are encouraged to be dedicated towards completing the program. No refund will be given in the event of discontinuation.
Who will be teaching the course?
Recorded and live sessions will be provided by the IIIT-H faculty in conjunction with teaching assistants with considerable AI/ML expertise. Industry experts will also contribute to your learning outcome through monthly sessions.
What is the expected weekly time commitment?
Participants are expected to commit 3-4 hours a week to fully benefit from the program. This will include the online sessions and time devoted for learning and assignments as well.
How will I be evaluated during the course?
We will follow a holistic approach where you will be evaluated continuously. All quizzes, assignments, discussions and attendance will be monitored to evaluate your learning outcome.
How will I get access to online labs?
You will be able to access the online labs right from the start of the program.
What is the duration of the course?
The duration of the course is 12 months.
Does the course have a deferral policy?
No
When will the live classes be conducted?
The live interactive sessions will be conducted on weekends.
What if I miss a live class?
It is advisable not to miss the live sessions with the faculty. If however you do miss a live class you will receive a recording of the class.You will also receive support from the mentors/teaching assistants on any related doubts/queries.
What are the system/internet requirements needed to attend the course?
You will need a laptop/desktop and a stable internet connection to attend the course.
Will I be able to access the recordings even after completing the course?
We believe that learning is a continuous process. Our recordings will be made accessible to the participants even after the completion of the course.
Does IIIT Hyderabad offer a course on Modern Machine Language on-campus ?
No, there is no equivalent on-campus program. IIIT Hyderabad has curated this exclusively as an online program.
What is the language of instruction for these courses? Are they available in other regional languages?
All our program courses are taught in English. Hence, we expect a minimum proficiency in English language to participate in the program. We are trying our best to have teaching assistants conversant in the local language in our programme.
Are there any communication groups on WhatsApp, Telegram etc for the online program on Modern Machine Learning?
We currently answer all questions/doubts in a discussion forum or via support email/calls. However, we may reach out to you on WhatsApp, E-mail or SMS for various announcements.
Are there any sample video content or assignments?
A preparatory module has been prepared which needs to be taken by all students registered for the program. Only those students who succeed would be allowed to enrol in the program.
I ran into an error or issue in the application form. What do I do?
Please send us your registered email-id, your application number and a screenshot of the error/issue with relevant description to edu@ihub-data.iiit.ac.in .If the error is after payment has been made, please forward the confirmation email along with email-id, application number and screenshot with description.
Is there an attendance policy for this program?
Yes. Students are expected to have minimum 75% attendance.
What would be the preparatory model ?
Preparatory model could be a capsule module incorporating some of the basics of this course, that will help participants to analyse their own aptitude.
Can we have any hands-on training part (practical lab sessions) ?
All laboratory sessions would be on cloud-based platforms, which will be hands-on training for the participants.
Who will give the certification is it IIITH / iHub-Data ?
Certificate will carry the logos of both IIIT Hyderabad as well as iHub-Data. This course, however, is focused on enhancing competency of the students.
Are there any projects to work after the course ?
Those who complete the course with a good rating might be considered for (a) working with projects, (b) doing higher studies or (c) research programmes at IIIT Hyderabad.
Any internship/placement support ?
This course is designed to enhance the competency of the participants fairly well so as to augment the training carried out by placement cells of educational institutions. Since multiple real-life projects are built-in to this course, it would be as good as any internship program, if not more.
Can students register directly if not nominated by the Principals/HoDs ?
Yes, provided that such students have a good academic standing, a flair for programming and a desire to pursue a course in machine learning. Students have to provide a bonafide certificate.

Foundations of Modern
Machine Learning

About Course

To Register please fill the form Registration Form

Who can participate?

What makes this program unique?

What is the qualifying criteria?

Course Fees

Instructors

IIIT Hyderabad

IIIT Hyderabad

IIIT Hyderabad

IHub-Data

Teaching Team

I am a research student at the Centre for Visual Information Technology, IIIT-H. My work involves experimenting with various Computer Vision detection techniques to extract various regions of interest in ancient Indic manuscripts.

Hello! I am a research student at the Centre for Computational Natural Science and Bioinformatics, IIIT Hyderabad. My work primarily involves using Deep Reinforcement Learning and ML to solve tasks pertaining to inverse molecular problems and Chemistry.

Hello! I am a research student at the Language Technologies Research Centre, IIIT Hyderabad. My work primarily involves using Deep Learning and ML to solve tasks pertaining to Text Classification in Indian Languages.

I am a research student at the Center for Security Theory and Algorithms at IIIT Hyderabad. I work on large scale machine learning optimizations. My interests lie in mathematics, ML and computer programming.

Hello! I am currently a research student at the Center for Visual Information Technology, IIIT Hyderabad. I am working on problems related to 3D Reconstruction, Neural Rendering, and using Event Cameras for vision applications.

Hello! I am currently a researcher at the Centre for Visual Information Technology (CVIT), IIIT Hyderabad. I'm really interested in Computer Vision and Deep Learning. I'm currently working on problems related to speech to lip generation.

Invited Speakers

Syllabus

Schedule

Cash Awards

Here are some Frequently Asked Questions

Contact us