# Foundations and Applications of Machine Learning (Bengali)

- Institution: IIT Kharagpur
- Department: Computer Science and Engineering
- Teacher: Prof. Adway Mitra
- Level: Undergraduate
- Language: English
- Subjects: Computer science, Engineering
- Source: [NPTEL](https://nptel.ac.in/courses/106105247)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/106105247)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

The course will cover basic concepts of Machine Learning - supervised and unsupervised learning, along with algorithms like K-nearest neighbors, Decision Trees, Perceptrons, Neural Networks, Linear Regression, K-means, Hierarchical Clustering etc. Each algorithm will be motivated by possible applications in different domains, especially text and images. The aim will be to convey the ideas and intuitions of the algorithms, avoiding mathematical details. The medium of instruction will be in Bengali.

Intended audience: Undergraduate students, teachers and graduate job aspirants from West Bengal

Prerequisites: Mathematics of 10+2 or college level

## Lectures

1. [Lecture 01 : AIML চারপাশের নানা উদাহরণ](https://invisiblenetwork.ai/learn/nptel/106105247/cc5ffa849e7c) (YouTube)
2. [Lecture 02 : AI/ML এর উপকরণ](https://invisiblenetwork.ai/learn/nptel/106105247/1762f9f0e612) (YouTube)
3. [Lecture 03 : SUPERVISED AND UNSUPERVISED LEARNING](https://invisiblenetwork.ai/learn/nptel/106105247/b0ee09f9d9b2) (YouTube)
4. [Lecture 04 : ML Model ও Algorithm](https://invisiblenetwork.ai/learn/nptel/106105247/7e30ed8422ec) (YouTube)
5. [Lecture 05 : AI /ML problem -এর গঠন](https://invisiblenetwork.ai/learn/nptel/106105247/a82d4bf3c141) (YouTube)
6. [Lecture 6 : K-nearest-neighbor classification/regression](https://invisiblenetwork.ai/learn/nptel/106105247/8f71c08842a3) (YouTube)
7. [Lecture 7 : নৈপুণ্যের পরিমাপ : Accuracy, Precision, Recall, Confusion](https://invisiblenetwork.ai/learn/nptel/106105247/b603c2bbd027) (YouTube)
8. [Lecture 8 : Discriminative Feature Selection](https://invisiblenetwork.ai/learn/nptel/106105247/48e4a9ed145f) (YouTube)
9. [Lecture 9 : Decision Tree Algorithm/সিদ্ধান্তলতিকা](https://invisiblenetwork.ai/learn/nptel/106105247/a1c6375aebfe) (YouTube)
10. [Lecture 10 : classifier -এর সমষ্টি ও Random Forests](https://invisiblenetwork.ai/learn/nptel/106105247/30192a3bafa1) (YouTube)
11. [Lecture 11 : Probability Theory ফিরে দেখা](https://invisiblenetwork.ai/learn/nptel/106105247/a283e7cff3e7) (YouTube)
12. [Lecture 12 : Bayesian এবং Naïve Bayes Classifier](https://invisiblenetwork.ai/learn/nptel/106105247/336a9575bc6a) (YouTube)
13. [Lecture 13 : Linear Algebra ফিরে দেখা](https://invisiblenetwork.ai/learn/nptel/106105247/f9a46af0378b) (YouTube)
14. [Lecture 14 : Linear Classifiers এবং Perceptron Algorithm](https://invisiblenetwork.ai/learn/nptel/106105247/79db32dbf6f3) (YouTube)
15. [Lecture 15 : Multi-class Linear Classifier এবং Logistic Regression](https://invisiblenetwork.ai/learn/nptel/106105247/a2026f117914) (YouTube)
16. [Lecture 16 : Optimization ফিরে দেখা](https://invisiblenetwork.ai/learn/nptel/106105247/3aa5c0058495) (YouTube)
17. [Lecture 17 : Linear (সরল) ও Regularized (পরিশোধিত) Regression](https://invisiblenetwork.ai/learn/nptel/106105247/7011ff5801a7) (YouTube)
18. [Lecture 18 : Max-margin Linear Classification/সর্বোচ্চ ব্যবধানের শ্রেণীবিভাজন](https://invisiblenetwork.ai/learn/nptel/106105247/e26ed44b3ade) (YouTube)
19. [Lecture 19 : কৃত্রিম স্নায়ুতন্ত্র/Basic Neural Networks](https://invisiblenetwork.ai/learn/nptel/106105247/69bfbbe4e211) (YouTube)
20. [Lecture 20 : Neural Network গঠন ও Backpropagation](https://invisiblenetwork.ai/learn/nptel/106105247/730522165455) (YouTube)
21. [Lecture 21 : Overfitting and Underfitting](https://invisiblenetwork.ai/learn/nptel/106105247/537f0966bcb8) (YouTube)
22. [Lecture 22 : Boosting-এর মাধ্যমে সমষ্টিবদ্ধ অনুমান](https://invisiblenetwork.ai/learn/nptel/106105247/a1cf6e6272a6) (YouTube)
23. [Lecture 23 : Data র মাত্রা (dimensionality) নিয়ন্ত্রণ](https://invisiblenetwork.ai/learn/nptel/106105247/d63398b018da) (YouTube)
24. [Lecture 24 : শ্রেণী ও বৈশিষ্টের মানের অসাম্য](https://invisiblenetwork.ai/learn/nptel/106105247/2530b58be460) (YouTube)
25. [Lecture 25 : Supervised Learning অভিযান](https://invisiblenetwork.ai/learn/nptel/106105247/ad39e83f04fa) (YouTube)
26. [Lecture 26 : Hierarchical Clustering/স্তরভিত্তিক গোষ্ঠীকরণ](https://invisiblenetwork.ai/learn/nptel/106105247/2a4026cc7af0) (YouTube)
27. [Lecture 27 : K-means Clustering/ K-গড় গোষ্ঠীকরণ](https://invisiblenetwork.ai/learn/nptel/106105247/de95c0af2f5f) (YouTube)
28. [Lecture 28 : Evaluation of Clustering/গোষ্ঠীকরণের মূল্যায়ন](https://invisiblenetwork.ai/learn/nptel/106105247/a26b48d73321) (YouTube)
29. [Lecture 29 : Mean-shift এবং DB-Scan গোষ্ঠীকরণ](https://invisiblenetwork.ai/learn/nptel/106105247/cdf594a60901) (YouTube)
30. [Lecture 30 : Graph-based Clustering/গোষ্ঠীকরণ](https://invisiblenetwork.ai/learn/nptel/106105247/ede5fa8c2970) (YouTube)
31. [Lecture 31 : Time-series/সময়ক্রমের বিশ্লেষণ](https://invisiblenetwork.ai/learn/nptel/106105247/8a37c7083250) (YouTube)
32. [Lecture 32 : ব্যতিক্রমী উদাহরণ চিহ্নিতকরণ](https://invisiblenetwork.ai/learn/nptel/106105247/440176835565) (YouTube)
33. [Lecture 33 : Image/চিত্র বিশ্লেষণ](https://invisiblenetwork.ai/learn/nptel/106105247/f321e2aa3c43) (YouTube)
34. [Lecture 34 : Neural Features for Images](https://invisiblenetwork.ai/learn/nptel/106105247/d3b88fc4aa68) (YouTube)
35. [Lecture 35 : লিখিত Data ও ভাষা বিশ্লেষণ](https://invisiblenetwork.ai/learn/nptel/106105247/5d3d8dc804b9) (YouTube)
36. [Lecture 36 : Sequential Neural Models and Natural Language Processing](https://invisiblenetwork.ai/learn/nptel/106105247/dc1c8c1ae2f3) (YouTube)
37. [Lecture 37 : সৃষ্টিমূলক/Generative Models, Reinforcement Learning](https://invisiblenetwork.ai/learn/nptel/106105247/4b0f05bf44f6) (YouTube)
38. [Lecture 38 :Transfer Learning and Domain Adaptation](https://invisiblenetwork.ai/learn/nptel/106105247/e36334ca819b) (YouTube)
39. [Lecture 39 : নীতি, নিরপেক্ষতা ও বোধগম্যতা](https://invisiblenetwork.ai/learn/nptel/106105247/d2575e10dfb2) (YouTube)
40. [Lecture 40 : Machine Learning for Climate Sciences](https://invisiblenetwork.ai/learn/nptel/106105247/e6dac57c881d) (YouTube)