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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NIT Warangal is currently accepting applications from students and professionals for a short-term online course on Python for Machine Learning. The course will be conducted from 26 to 30 July 2021 in the evenings around 5 pm for three hours a day. The course will cost Rs 500 for faculty, post-doctoral fellows, research scholars, postgraduate and undergraduate students, and will cost Rs 1000 for industry participants.

The course is being conducted by NIT Warangal’s Department of CSE and the Department of Mathematics in association with the Center for Continuing Education. Participants will get an e-certificate upon successful completion of the course. Suppose a participant misses any class, the course material and session recordings could be shared with participants with the consent of the speaker.

What the NIT Warangal Online Course on Python for Machine Learning Will Cover

The online course aims at introducing participants to python programming constructs, and at imparting knowledge and training on the fundamentals of python with different aspects and applications to machine learning. The following topics will be covered by NIT Warangal in the online course:

• Introduction to Python: Installation, and Python Editors.
• Variables, Objects, Operators, and Primitive Data Types.
• Compound Data types: List, Tuples, Sets, and Dictionaries.
• Conditional Statements Loops: for, while, do while.
• Functions, and Building your own functions.
• Numpy: Multi-dimensional Arrays.
• Matplotlib: 2D and 3D plotting in python Regular Expressions.
• Scipy: Scientific library for python Pandas: Providing high-performance, easy-to-use data structures.
• SymPy: Symbolic mathematics and computer algebra. scikit-image: Collection of algorithms for image processing.
• scikit-learn is a collection of algorithms and tools for machine learning.

How to Apply for NIT Warangal Online Course on Python for Machine Learning?

Interested participants will have to submit online applications through a dedicated Google form provided by the institute, and then pay the requisite fee before 20 July 2021. On receiving the Google form and fee remittance receipt, participants will be sent confirmation of their participation through email by 22 July 2021. Applicants are advised to go through the course brochure in detail prior to submitting applications.

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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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The Indian Space Research Organisation has announced a five-day free course on machine learning, between July 5 -9. The course is being offered as part of the Indian Institute of Remote Sensing’s (part of ISRO) outreach program. Central and state government employees, researchers, professionals, and those attached with NGOs can attend the course. Interested candidates must have basic knowledge of remote sensing and GIS.

The short course is designed for professionals engaged in remote sensing data processing in different applications which involves extracting a specific class of interest. 

The course content is planned as follows:

July 5: Remote Sensing and its sensors of various resolutions. Radiometry and Geometric corrections and Basic understanding of Image

July 6: Basic classifier to machine learning-A journey

July 7: Methods in machine learning: Supervised, unsupervised and reinforcement. 

July 8: Fuzzy based machine learning with application in temporal data processing

July 9: Network-based learning algorithms – ANN to CNN/RNN

The course materials such as lecture slides, recordings of the classes, handouts of the demonstrations, etc will be made available to the students and the full video lectures will be uploaded on YouTube.

Candidates can attend the course live via any web browser through the e-class portal of IIRS Dehradun. The participants can also attend the live workshop via IIR’s YouTube channel of IIR.

For receiving the course completion certificate, a student must have attended 70 percent of the sessions via the e-class portal. Students attending the class via IIR’s YouTube channel should mark their attendance via an offline session made available after 24 hours post the class.

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