AI with Python Tutorial

AI with Python Tutorial

Artificial intelligence is the intelligence demonstrated by machines, in contrast to the intelligence displayed by humans.

This tutorial covers the basic concepts of various fields of artificial intelligence like Artificial Neural Networks, Natural Language Processing, Machine Learning, Deep Learning, Genetic algorithms etc., and its implementation in Python.

This tutorial will be useful for graduates, post graduates, and research students who either have an interest in this subject or have this subject as a part of their curriculum. The reader can be a beginner or an advanced learner.

We assume that the reader has basic knowledge about Artificial Intelligence and Python programming. He/she should be aware about basic terminologies used in AI along with some useful python packages like nltk, OpenCV, pandas, OpenAI Gym, etc.

Table of Contents

1. Primer Concept
2. Getting Started
3. Machine Learning
4. Data Preparation
5. Supervised Learning: Classification
6. Supervised Learning: Regression
7. Logic Programming
8. AI with Python - Unsupervised Learning: Clustering
9. Natural Language Processing
10. NLTK Package
11. Analyzing Time Series Data
12. Speech Recognition
13. Heuristic Search
14. Gaming
15. Neural Networks
16. Reinforcement Learning
17. Genetic Algorithms
18. Computer Vision
19. Deep Learning