Course Description
Artificial intelligence or AI is a mimic of human behavior which assists people in many ways by integrating with multiple technologies. This program provides vast knowledge of python, machine learning, deep learning, and image processing. The motive of this course is to deliver technical and practical information about the implementation of the different technologies into a single product and also this provides huge knowledge on the application of these technologies.
Technologies and Tools Covered
- Python Programming
- Image processing
- Machine learning
- Deep learning
- Natural Language processing
Overview of AI and the Packages:
| SESSION | CLASS TOPICS |
| 1 | Introduction to python programming |
| 2 | Installation of packages in python |
| 3 | Working with a graphic user interface |
| 4 | Working with matplotlib |
| 5 | Working with pandas |
| 6 | Working with scikit learn |
Algorithms – AI:
| SESSION | CLASS TOPICS |
| 1 | Logistic Regression |
| 2 | Decision Tree |
| 3 | Random Forest |
| 4 | Ensemble Methods |
| 5 | K-Means Clustering |
| 6 | Support Vector Machine |
AI Applications:
| SESSION | CLASS TOPICS |
| 1 | Intro to Neural network |
| 2 | Working with Artificial Neural Network |
| 3 | Working with Text to Speech Conversion |
| 4 | Working with Speech Recognition |
| 5 | Working with NLP |
| 6 | Working with NLTK |
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