Foundations of 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.

"Registration process for FMML 2021 is over. The FMML-2021 program has commenced on 03rd Oct 2021 (view launch event here). Dates for the next FMML program will be announced soon."

Who can participate?

  • Students from various engineering colleges across India
  • Undergraduate engineering students ( third and fourth year) from the following streams:
    1. Computer Science/Information Technology or other allied branches
    2. Electronics Engineering or other allied branches
    3. 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

 

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C. V. Jawahar
IIIT Hyderabad
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Anoop M. Namboodiri
IIIT Hyderabad
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Ravi Kiran Sarvadevabhatla
IIIT Hyderabad
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C.K. Raju
IHub-Data

Teaching Team

 

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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.
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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.
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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.
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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/.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Aryamaan Jain
Hi, I am a research student at the Center for Visual Information Technology, IIIT Hyderabad. I am currently working on computer graphics, computer vision and deep learning applications related to virtual terrain generation.
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Akshit Garg
Hello! I am a research student at the Center for Computational Natural Science and Bioinformatics, IIIT Hyderabad. My work primarily involves using Machine learning and Deep Learning models to solve tasks pertaining to the Healthcare domain, ranging from COVID-19 Mortality Prediction to ECG signal synthesis.
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Shantanu Agrawal
I am a undergraduate research student at Cognitive Sciences Lab, IIIT Hyderabad. My work mainly involves data analysis and Hypothesis testing based on behavioral science problems related to Trust level prediction and verifying the results on gaming paradigms. Apart from this, I am highly interested in Image Processing and Computer Vision and applications of ML/DL in the field.
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Guru Ravi Shankar
Hello! I am a research student at the Cognitive Science Lab, IIIT Hyderabad. I work on problems related to Lyrics Information Retrieval involving Natural Language Processing. I am currently working on the music emotion recognition for Indian language songs.
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Jashn Arora
Hello! I am a research student at the Cognitive Science lab, IIIT Hyderabad. My work involves using Machine Learning and Deep Learning based Language Model for Brain Decoding and Encoding.
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Amit Pandey
Hey! I am a Data Science Researcher working with Prof. Vikram Pudi at the Data Sciences and Analytics Center, KCIS-IIIT Hyderabad.As a researcher with a passion for entrepreneurship, my interests include Statistical Al, Applied Machine Learning, Natural Language Processing & Understanding, Computer Vision, and Business Intelligence.
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Shreeya Pahune
Hello! I am a 4th year research student at Centre for Computational Natural Sciences and Bioinformatics, IIIT Hyderabad. My research involves working on applying Machine Learning and Statistical methods for Cancer predictions.
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Tanvi Kamble
Hello! I am a research student at Language Technologies Research Centre at IIIT Hyderabad. My interests lie in Natural Language Processing and am currently working on an event-related TimeBank Project.

Invited Speakers

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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:

  • Representation and Learning
    • Feature Vectors, Feature Spaces
    • Feature Extraction
    • Learning Problem Formulation
  • Appreciating and Interpreting Data
    • Dimensionality Reduction
    • Data Visualization
  • Classification
    • Nearest Neighbour methods
    • Linear Classifiers, Perceptrons, Gradient Descent
    • Multi-class classifiers
    • Decision Trees
  • Experimentation Methods
    • Training, Testing and Validation
    • Overfitting and Generalization
    • Feature Engineering
    • Performance Metrics
  • Probabilistic Methods
    • Bayes and Naive Bayes Classifiers
    • Mixture Models
    • MLE and MAP Estimates
  • Unsupervised Learning and Clustering
    • K-Means, EM and Mixture Model Fitting
    • Similarity Metrics, Criterion Functions
    • Graph-based clustering; Hierarchical Clustering
  • Regression
    • Linear and Logistic Regression
    • Regularization
  • Neural Networks
    • Multilayer Perceptrons
    • Back-propagation, Training strategies
  • Deep Neural Networks
    • Convolutional Neural Networks
    • Recurrent Neural Networks
    • Autoencoders
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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

Contact us

For any queries regarding the Foundations of Modern Machine Learning feel free to drop a mail :
edu@ihub-data.iiit.ac.in