• Learn What is Artificial Intelligence, Intelligence and Applications of AI.
• Learn Problem solving using AI, AI search algorithms, Informed (Heuristic) Search Strategies.
• Learn Local Search Algorithms, Learning System, and Common Sense
• Learn Genetic algorithms, Expert Systems, and Scikit-learn module
Requirements
• Basic knowledge of Python
• Beginner knowledge of Statistics
Description
Artificial intelligence is the simulation of human intelligence through machines and mostly through computer systems. Artificial intelligence is a sub field of computer. It enables computers to do things which are normally done by human beings. This course is a comprehensive understanding of AI concepts and its application using Python and iPython.
The training will include the following:
What is Artificial Intelligence?
• Intelligence
• Applications of AI
• Problem solving
• AI search algorithms
• Informed (Heuristic) Search Strategies
• Local Search Algorithms
• Learning System
• Common Sense
• Genetic algorithms
• Expert Systems
• Scikit-learn module
Who this course is for:
• Students and professionals who are interested in learning robotics and bio metrics.
• People who are very keen about learning Artificial Intelligence.
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FILE LIST
Filename
Size
00-Intro/01-Random Forest and Extremely Random Forest.mp4
198.8 MB
01-Class Imbalance and Grid Search/02-Dealing with Class Imbalance.mp4
143.4 MB
01-Class Imbalance and Grid Search/03-Grid Search.mp4
186.5 MB
02-Adaboost Regressor/04-Adaboost Regressor.mp4
146.1 MB
02-Adaboost Regressor/05-Predicting Traffic Using Extremely Random Forest Regressor.mp4
57.7 MB
02-Adaboost Regressor/06-Traffic Prediction.mp4
139.6 MB
03-Detecting patterns with Unsupervised Learning/07-Detecting patterns with Unsupervised Learning.mp4
127.1 MB
03-Detecting patterns with Unsupervised Learning/08-Clustering.mp4
119.1 MB
03-Detecting patterns with Unsupervised Learning/09-Clustering Meanshift.mp4
94.3 MB
03-Detecting patterns with Unsupervised Learning/10-Clustering Meanshift Continues.mp4