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Artificial Intelligence
Artificial Intelligence
70 Students enrolled
Created by: Konstantinos Liagkouras
Last Updated: 20th September 2023
English
Requirements
Artificial Intelligence
Description
Artificial Intelligence
Content
Introduction
Introduction to Artificial Intelligence
Introduction to Python Programming
Python Programming (NumPy)
Visualization with Matplotlib
Introduction to Regression Analysis
Introduction to Logistic Regression
Supervised Learning
Introduction to Support vector machine
Solving Classification problems with SVM
Solving Regression problems with SVR
Introduction to K-Nearest Neighbors (KNN)
Exercises in K-Nearest Neighbors
Introduction to Random Forest
Exercises in Random Forest
Regression and Classification with Random Forest
Introduction to Decision Trees
Introduction to Naive Bayes
Naive bayes for Text Classification
Time Series
Exercises in Time Series
Introduction to Artificial Neural Networks
Exercises in ANN by using Tensorflow
Recurrent Neural Networks (RNN)
Convolutional Neural Networks
Exercises in ANN
Sentiment Analysis
Text Mining in Python
Introduction to Sentiment Analysis
Applications in Sentiment Analysis
Optimization techniques
Introduction to Linear Programming
Exercises in Linear Programming
Introduction to Genetic Algorithms
Exercises in Genetic Algorithms
Exercises in Genetic Algorithms
Simulated Annealing
Traveling Salesman Problem (TSP)
Introduction to Multiobjective Optimization
Exercises in Multi-objective optimization
Multi-objective Evolutionary Algorithms
Multi-objective Test Function problems with python
Exercises in MOEAs
Intelligent Systems
Introduction to Fuzzy Logic
Networks in Python
How to Create a Speech Recognition System with Python
Revision: Visualization with Matplotlib
Revision in NumPy
Revision in Numerical Python
Revision: Working with Multi-dimensional Arrays
Revision in Forecasting
Revision in Time Series Analysis
Unsupervised Learning
Introduction to Unsupervised Learning
K-Mean Clustering
Principal Component Analysis
Reinforcement Learning
Introduction to Reinforcement Learning
Q – Learning in Reinforcement Learning
Exercises in Q-Learning
Expert Systems
Introduction to Expert Systems
Exercises in Expert Systems
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