Week 7 This week we learned about Apriori algorithm which is used in Association Rule Mining. Association rules are if-then statements that help to show the probability of relationships between data items within large data sets in various types of databases. Association rule mining has a number … Continue reading →

Week 6 This week’s topic is learning from observation where we learned about a technique used in unsupervised learning which is the clustering technique. Clustering techniques apply when there is no class to be predicted but rather when the instances … Continue reading →

Week 5 This week we learned about the different types of machine learning such as supervised learning, unsupervised learning, and reinforcement learning. We also learned about the naive bayes classifier. Supervised learning, in the context of artificial intelligence (AI) and machine learning, is … Continue reading →

Week 4 This week, we learned about adversarial search and we learned how it is used in games such as chess, tic-tac-toe, backgammon, and etc, to calculate the optimal move. These games are classified by how much information the agent … Continue reading →

Week 3 This week we learned about Informed Search(Best First Search, Greedy Search, & A* Search) and Local Search(Hill Climbing, Simulated Annealing, & Genetic Algorithm). Informed searches uses domain knowledge to guide selection of the best path to continue searching. … Continue reading →

Week 2 This week, we learned about uninformed/blind search algorithms. Uninformed search are strategies that order nodes without using any domain specific information. The algorithms we learned today that uses uninformed search are BFS(Breadth First Search), DFS(Depth First Search), Depth-limited … Continue reading →

Week 1 On the first week, we were introduced to the course materials and tasks. We were also introduced to AI, a brief history of AI, definition of AI and Machine Learning and how they work. AI has 4 components … Continue reading →

E-Commerce Solution with Flask & MySQL Introduction From startups to small business all the way to huge brands, businesses are benefiting from e-commerce. Businesses are able to allow easy access to their product or service thanks. Even individuals are able … Continue reading →

Database for Online Shopping System List of Members: Adriel Soengadi – 2201807980 Ikhsan Maulana – 2201807993 Imanuel Febie – 2201835800 Robert Reden – 2201816612 My contributions for this project include helping with the design of the ERD and creation of … Continue reading →

Database for Online Shopping System Team members: Adriel Soengadi – 2201807980 Ikhsan Maulana – 2201807993 Imanuel Febie – 2201835800 Robert Reden – 2201816612 Problem Statement In consideration that the topic we picked is Online shopping system, we believe that companies … Continue reading →