C.S. Projects

Posts Tagged ‘Intelligent System’

Intelligent System — Week 9

Neural Networks

In today’s session I learned about Neural Network. I learned about the difference between biological neurons and artificial neurons such as biological neurons are fault-tolerant whereas artificial neurons are not fault-tolerant. I learned about single layer neural network and multi layer neural network.I also learned about learning rate and artificial neural network. I also learned about deep learning and how to train a single layer perceptrons

Intelligent System – Week 8

Decision Tree

In today’s class, I learned about Classification, Regression and Clustering. I learned about the real life examples of them and I also learned about overfitting. I also learned why overfitting is not good. I also learned about Decision Trees. I found the decision tree algorithm quite confusing and it took me a while to understand it.

Intelligent System – Week 7

Apriori

Today was another online class learning and we learned about Apriori. I got an exercise and after that we directly had a quiz. In my opinion, the quiz was quite difficult and I was so confused doing it.

Intelligent System – Week 6

K Clustering

This week was an online class learning and i learned about different Clustering technique. Marketing, Biology, Libraries, Insurance, City Planning and Earthquake studies. I learned algorithms like K means clustering as well. We got an exercise and had to use K-means clustering to solve them.

Intelligent System – Week 5

Machine Learning And NaiveBayes

This week was an online class and I learned about types of machine learning, Supervised Learning, Unsupervised Learning and Reinforcement Learning. Supervised learning allows collection of data from previous experience. Unsupervised learning is finding unknown patterns in data and helps find features. I also learned about probability and Bayes Rule about probability. We got an exercise and had to submit through a link.

Intelligent System – Week 4

Adversarial Search

This week I learned about Minimax Algorithm, Alpha-Beta pruning. I also learned about Non-Deterministic Games. I got 3 exercises which took a while to do.

Intelligent System – Week 3

Local Search

This week I learned about complete and localized searching. Complete searching is where every node is a solution and the operators go from one solution to another and can stop at any time. An example of this is the Travelling Salesman Problem. Localised searching is the one that considers only those solutions in the neighbourhood.

Intelligent System – Week 2

Uniformed and Informed Search

This week I learned about Searching algorithms. I learned search methods such as DFS (Depth First Search) ,BFS (Breadth First Search) , Iterative deepening depth-first search and Uniform Cost Search. I also got exercises to do which required me to understand these search methods.

Intelligent System – Week 1

Introduction to AI and Agents

Today, I learned about the basic concepts of what AI is. There are lots of definitions for it by different people. I learned that there are different approaches for AI such as Acting Humaly, Thinking Humanly, Thinking Rationally and Acting Rationally. I learned the foundations of AI, which are philosophy, mathematics, psychology, control theory & cybernetics, linguistics, neuroscience and economics. I also learned about phases of AI history and application domains of AI. I also learned about Intelligent agents and how they are defined, their performance measure and task environment. I also learned about environmental factors