list in table 25 machine learning techniques/algorithm and classify it into supervised and unsupervised, write two lines about each of them and put references.

Project 2 on Al Research (Covers 50% of the course work) (Due date: Week 15) This project is a research based project that will be based on the video and topic discussed in this subject. You need to do a little study about the subject and algorithm in machine learning are. Use our webinar series as a guideline as well to find the answer. 1. Collect and list in table 25 - 30 machine learning techniques/algorithm and classify it into supervised and unsupervised, write two lines about each of them and put references. Example: Founder Year Category References Algorithm name Hebbian learning 1 Supervised References: [] John, K. (1989). Hebb rules theory. In proceeding of International Conference on Neural Networks 1989, 24-25 November 1989, Achen, Germany 2. Write the training algorithm of PERCEPTRON (from google / book) and give your theoretical summarization of it 2. Write the training algorithm of Counter Propagation Neural Network(from google/book) and give your theoretical summarization of it. 3. Write the implementation procedure of any 2 applications of ANN in your own words(Refer research papers) and put references 4. Identify at least 15 Deep Learning models.classify and write two-three lines about each of them with references. 5. Distinguished between the term Natural Computing and Nature-inspired computing and how it differs. Justify your answer with supporting references. In addition, draw a diagram that show the sub-component of Natural Computing