IIT Madras has invited applications for a free online course called Introduction to Machine Learning on the NPTEL platform. The course, which is AICTE FDP approved, can be taken by senior undergraduate or postgraduate students pursuing their BE, MS, ME or even PhD. The course is 12 weeks long and will be conducted from 26 July to 15 October 2021. It would be most beneficial for students pursuing education in the domains of computer science and engineering, artificial intelligence, data science, programming and robotics.

The course will be conducted by professor Balaraman Ravindran who is associated with the department of computer science at the Indian Institute of Technology Madras and is also a Mindtree Faculty Fellow. The professor has two decades of experience in machine learning and reinforcement learning. He is currently working in the areas of data mining, social network analysis, and reinforcement learning.

What the IIT Madras Free Online Course on Machine Learning Will Cover

Participants of the course will be introduced to some of the basic concepts of machine learning from a mathematically well-motivated perspective. Furthermore, the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms will also be covered as part of the course. Some of the topics that students will get to learn are as follows:

• Probability theory, linear algebra, and convex optimization.
• Introduction: Statistical decision theory, regression, classification, and bias variance.
• Linear regression, multivariate regression, subset selection, shrinkage methods, principal component regression, and partial least squares.
• Linear classification, logistic regression, and linear discriminant analysis.
• Perceptron, and support vector machines.
• Neural Networks: Introduction, early models, perceptron learning, backpropagation, initialization, training and validation, parameter estimation, MLE, MAP, and Bayesian estimation.
• Decision trees, regression trees, stopping criterion and pruning loss functions, categorical attributes, multiway splits, missing values, decision trees, and instability evaluation measures.
• Bootstrapping and cross validation, class evaluation measures, ROC curve, MDL, ensemble methods – bagging, committee machines and stacking, boosting, and much more.

How to Enroll and Other Important Details

Interested students will have to enroll in the course before 15 October 2021. The course is free to enroll and learn from; however, those who require certificates will have to pay Rs 1000 and take an examination that will be conducted on 24 October 2021. Interested participants may enroll for the course on the official page by using their Facebook, Microsoft, Google or Facebook accounts.

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The Indian Institute of Technology (IIT) Mandi is hosting a six-day weekend workshop on Deep Learning Crash Course (ADLCC 2021) for executives and working professionals between July 3 and 18. Organised by IIT Mandi iHub and HCI Foundation jointly, this workshop will Artificial Intelligence and Machine Learning techniques in detail with extensive hands-on tutorial sessions for the participants.

Interested candidates can register at the official website of IIT Mandi. The workshop will have a selected batch of participants and the applications will be shortlisted on a first come – first serve basis.

It will be conducted from 9 am to 1 pm and lab sessions from 2 pm to 6 pm, on every weekend. An assessment will be done at the end of the workshop, and based on this assessment, certificates will be provided to participants. The workshop may pave the way for a research internship opportunity at the iHub and IIT Mandi.

Some of the key points to be covered in this workshop includes basics of machine learning and neural networks, convolutional neural networks, object localisation and detection, autoencoders and variational autoencoder, generative adversarial networks, recurrent neural network and long short-term memory, Siamese network abnd transformer network.

Speaking about the workshop, Dr. Aditya Nigam, Workshop Coordinator and Assistant Professor, School of Computing and Electrical Engineering, IIT Mandi said, “This workshop will be the key to enter the mystic world of AI/ML. Extensive learning has been planned through comprehensive sessions organized by various experts. Most importantly the specially designed hand-on sessions will be a boon to completely novice learners. We hope that this workshop will effectively democratize AI/ML Learning.”

Dr. Varun Dutt, Key speaker at ADLCC 2021, and Associate Professor, School of Computing and Electrical Engineering, IIT Mandi said, “The current workshop would provide students, academics, and industry personnel hands-on sessions on AI/ML topics that span a number of domains, including the human-computer interaction area.”

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IIT Kharagpur has invited applications for a free online course on introduction to machine learning this time on the SWAYAM NPTEL platform. The 8-week long course will be conducted from 26 July to 17 September 2021. While the course is free to take, to get a certificate from IIT Kharagpur and NPTEL, participants will have to pay Rs 1000 and take an examination on 26 September 2021. The course also carries two credit points, which can be beneficial for engineering students.

The course will be conducted by professor Sudeshna Sarkar who is a professor and currently the head in the department of computer science and engineering at the Indian Institute of Technology Kharagpur. The professor completed her BTech in 1989 from IIT Kharagpur, MS from University of California, Berkeley, and PhD from IIT Kharagpur in 1995, and her research interests are machine learning, natural language processing, data and text mining.

What the IIT Kharagpur Free Online Course on Machine Learning Will Cover

The course will introduce participants to the basics of computational learning theory, and the various issues related to the application of machine learning algorithms will also be discussed. Furthermore, the course will be accompanied by hands-on problem solving with programming in Python and some tutorial sessions. The following are the topics that will be covered over a period of 12 weeks:

• Introduction: Basic definitions, types of learning, hypothesis space and inductive bias, evaluation, cross-validation.
• Linear regression, Decision trees, and overfitting.
• Instance-based learning, Feature reduction, and Collaborative filtering-based recommendation.
• Probability and Bayes learning.
• Logistic Regression, Support Vector Machine, Kernel function and Kernel SVM.
• Neural network: Perceptron, multilayer network, backpropagation, and introduction to deep neural network.
• Computational learning theory, PAC learning model, Sample complexity, VC Dimension, and Ensemble learning.
• Clustering: k-means, adaptive hierarchical clustering, and Gaussian mixture model.

Who Can Apply for the IIT Kharagpur Free Online Course on Machine Learning

While the course is open to all participants, it could be most beneficial for students and professionals from the following domains:

• Computer Science and Engineering
• Artificial Intelligence
• Data Science
• Programming
• Robotics

It also serves an elective course for undergraduate, postgraduate, BE, ME, MS, MSc and PhD students.

How to Enroll for the IIT Kharagpur Free Online Course on Machine Learning

Interested participants will have to enroll in the course by clicking on the Join button available on the official website before 2 August 2021. Prior to that, participants will have to first sign into the SWAYAM NPTEL platform using their Microsoft, Facebook or Google accounts. Furthermore, an option to login using the SWAYAM account is also available. SWAYAM account can be created by registering with the platform by entering the username, password, email address, and then verifying the account. As far as the certificate for the course is concerned, announcements will be made when the registration form is open for submission, and the online registration form has to be then filled and the certification exam fee needs to be paid.

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IIT Mandi and Wiley are currently accepting applications for an online postgraduate certification in applied artificial intelligence and machine learning

IIT Mandi and Wiley are currently offering a six-month online postgraduate certification in applied artificial intelligence and machine learning. The course has been designed to give participants an understanding of developing skills in building applications with deep learning, computer vision, natural language processing, image and speech processing that are required for specialist artificial intelligence job roles.

The course will be conducted online, and participants will receive a certificate of completion from IIT Mandi and Wiley upon successfully finishing the program. The last date to submit applications for the course is 20 February 2021, and the program will cost learners Rs 1,00,000 plus GST. Once the applicants’ candidature is approved by IIT Mandi, the course will begin on 27 February 2021.

Who can Apply for IIT Mandi and Wiley Postgraduate Certification Program

The official website says that the course can be beneficial for the following participants:

• Applicants who have completed their BE, BTech, MTech, BCA, or MCAs and want to build a high-impact career in artificial intelligence.
• Existing professionals in any technology, cloud, software development or programming who hope to have a high growth artificial intelligence career in deep learning, NLP, speech processing and computer vision.
• Existing professionals in data engineering, data analysts, statisticians who want to acquire artificial intelligence and machine learning skills.

What the Course Curriculum Consists Of

The course, which will be conducted by IIT Mandi professors, will cover the following aspects:

• Python refresher.
• Building predictive models (ML).
• Data mining and recommender systems.
• Deep learning for artificial intelligence.
• Artificial intelligence for NLP.
• Artificial intelligence for image processing.
• Deep Learning for artificial intelligence.
• Speech recognition and conversational artificial intelligence.
• Computer vision.
• Applications of artificial intelligence in the industry.
• Designing and deploying an artificial intelligence solution.

Those who wish to know more about the course are advised to go through the official website for more information.

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IIT Delhi, like various other Indian Institutes of Technology (IITs) and Indian Institute of Science (IISc), is offering several free online courses on the NPTEL platform at present. One such course is a free online course on “Introduction to Artificial Intelligence”, which interested learners can enroll for. The course, however, can be especially beneficial for undergraduate students in computer science with a fair knowledge of data structures and probability.

The course will be conducted by Prof Mausam who is an Associate Professor of Computer Science department at IIT Delhi, and an affiliate faculty member at the University of Washington, Seattle. He received his PhD from the University of Washington in 2007 and a BTech from IIT Delhi in 2001. He is an awardee of the prestigious AAAI Senior Member status for his long-term participation in AAAI and excellence in the field of artificial intelligence.

What the IIT Delhi Free Online Course on Artificial Intelligence will Cover?

Participants who enroll for this course will get an understanding of the following topics: Introduction to hilosophy of AI, definitions, modeling a problem as search problem, uninformed search, heuristic search, domain relaxations, local search, genetic algorithms, adversarial search, constraint satisfaction, propositional logic and satisfiability, uncertainty in AI, Bayesian networks, Bayesian networks learning and inference, decision theory, Markov decision processes, reinforcement learning, and introduction to deep learning and deep RL.

Other Important Details of the IIT Delhi Free Online Course on Artificial Intelligence

The 12-week long course will be conducted from 18 January to 9 April 2021, and the last date to enroll for the course is 25 January 2021. Although the course is free to enroll and learn from, to receive certificates from NPTEL and IIT Delhi, participants will have to register and write the proctored exam to be conducted by NPTEL in person at any of the designated exam centres on 25 April 2021 in morning and afternoon sessions.

Criteria to Receive Certificates for IIT Delhi Free Online Course on Artificial Intelligence

Certificates will be rewarded based on the participant’s performance in exam, as well as their average assignment score. The average assignment score will be 25% of average of best 8 assignments out of the total 12 assignments given in the course, and exam score consists of 75% of the proctored certification exam score out of 100.

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Gandhinagar: Indian Institute of Technology Gandhinagar (IITGN) hosted the Association for Computing Machinery- India (ACM-India)’s annual event 2020 on February 15. The event saw an overwhelming participation of more than 1200 students, researchers, faculty members, and professionals of computer science and allied areas from all over the country. The prestigious event was graced by Prof Cherri Pancake, President of ACM; Prof Abhiram Ranade, President of ACM India; ACM Award winners as speakers; Shri Abhishek Singh (IAS), President & Chief Executive Officer of National e-Governance Division; and ACM-India Office Bearers.

ACM India organises this annual flagship event to discuss trends in science and technology, and to celebrate ACM’s spirit and India’s accomplishments in computing. At the outset of the event, Prof Harish P M, Dean, Students Affairs, IITGN, provided an overview of IITGN’s core values and culture and the innovative and inclusive environment it offers to its community and visitors.

Prof Cherri Pancake, President of ACM, presented ACM report and introduced participants with the various activities of ACM for computing professionals, researchers and educators, to advance computing as a science and a profession. Prof Abhiram Ranade, President of ACM India, presented ACM India report and highlighted ACM India Council’s various initiatives for research, education, continuing education for professionals, industry-academia linkages, gender issues, and so on. He also introduced ACM India’s CSPathshala, a Computational Thinking Curriculum for Std I to Std VIII, that has reached more than 3 lakh students, 1100 schools, 5400 teachers, in a bid to do their bit for localisation of the subject. On the occasion, ACM-India Doctoral Dissertation Awards 2020 and Best Chapter Awards 2020 were also presented to the winners.

This was followed by four engaging talks by eminent experts and ACM Turing Award winners. Prof Yann LeCun, a French-American computer scientist from the New York University, Chief AI Scientist at Facebook and 2018 ACM Turing Award Winner, who works primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience, delivered a talk on ‘Self-Supervised Learning: the Next Step in AI’. He described the brain as the inspiration for initiation of earliest work in Deep Learning, a system innovation that has caused revolutions in computer perception, image synthesis, natural language understanding, and control. He went on to explain various models, aspects, and experiments of Convolutional Network (ConvNets) Architecture and its application to recognize multiple objects, faces and figures, including billions of photos uploaded on Facebook every day that go through a handful of ConvNets within seconds for segmentation.

Elaborating further Prof Yann LeCun said that 3D ConvNet can be used for medical image analysis, breast cancer detection, faster MRI, in Physics and in Astrophysics to predict the cosmological structure formation. He said that Supervised Deep Learning works well when you have data. He also gave examples of research experiments where Deep Learning can save lives, by deploying automated emergency braking systems, by detecting tumour in mammograms, and by filtering online content like hate speech, calls for violence, weapon sales etc. However, he went on to explain that in contrast to the humans and animals, who largely learn vast amounts of knowledge about the world quickly by mere observation and occasional actions, successes in Deep Learning techniques rely on supervised learning, where the machine is trained on a large number of examples augmented by human-provided interpretations. Prediction is the essence of intelligence, and so, Self-Supervised Learning (SSL) signifies to train a machine to predict missing information by generally ‘filling in the blanks’. For example, predicting missing words in a text, occulted parts of an image, future frames in a video. He also described a number of applications of self-supervised learning, including using a forward video prediction model to train autonomous cars to drive defensively by learning to predict how other cars around you will move.

Concluding his talk he said, “Self-Supervised Learning is the future of Artificial Intelligence (AI). Human intelligence is very very specialised and forward. Artificial General Intelligence is a misnomer, so let’s talk about human intelligence, it is a more interesting concept. Theory often follows inventions. We need to find out the theory behind intelligence, learning. Everything else is an inspiration from biology.”

Prof Susanne Albers, a German theoretical computer scientist from the Technische Universität München and a recipient of the Gottfried Wilhelm Leibniz Prize, talked about ‘Algorithms Beyond the Worst Case’. She explained various theories of worst-case analysis for algorithm performance, various aspects of online paging, and different analytical approaches and its applications in computer science.

Prof Shwetak Patel, an American computer scientist and entrepreneur from the University of Washington, with familial roots in Gujarat, and Winner of 2018 ACM Prize in Computing, best known for developing novel sensing solutions and global computing, spoke about ‘New Ways of Thinking of the Mobile Phone for Healthcare’. He described a collection of research projects conducted with his clinical collaborators that utilise different sensors on mobile devices (e.g. microphones, cameras, accelerometers, etc) in new ways to enable the screening, self-management and longitudinal study of various diseases. “Point of care diagnostics is one particular major revolution that happened in the healthcare field. There are several opportunities for diagnostics using mobile phones, including pulmonary, blood screening, cardiovascular, and disease-specific”, he said. He went on to introduce some of the apps and services invented by them using simple mobile phone sensors to measure lung function, detecting and studying cough, tuberculosis, newborn jaundice, osteoporosis, and so on. He underscored the potential advances in health and clinical science through the convergence of sensing, machine learning, and human-computer interaction. He advised students that this is an unprecedented time to work towards major global problems.

In the end, Prof M Balakrishnan, a Professor in the Department of Computer Science & Engineering at IIT Delhi, Founding Vice-Chancellor at Satya Bharti Institute of Technology and ACM Eugene L Lawler Award Winner, gave a talk about ‘Assistive Technology Solutions for Mobility & Education of Visually Impaired’. He presented the work of ASSISTECH, IIT Delhi in developing solutions, including a SmartCane, Bus Finding device ‘OnBoard’, Tactile Diagrams, and braille keyboard prototypes ‘Dot Book’, aimed at addressing challenges of independent mobility and education of visually impaired in India and other low-income countries. He stressed that assistive technology design for India needs to be user-centric, affordable and infrastructure-friendly. Further, he also talked about the challenges in translational research and its dissemination in this area.

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