Learn AI with Python

Preface

Introduction to AI and Python

• Introduction
• Introduction to Artificial Intelligence (AI)
• Why to learn AI?
• Understanding intelligence
• Various fields of study in AI
• Applications of AI in various industries
• How does artificial intelligence learn?
• AI agents and environments
• AI and Python – how do they relate?
• Python3 - installation and setup
• Conclusion
• Questions

Machine Learning and Its Algorithms

• Introduction
• Understanding Machine Learning (ML)
• The Landscape of Machine Learning Algorithms
• Components of a Machine Learning algorithm
• Different learning styles in machine learning algorithms
• Popular machine learning algorithms
• Questions

Classification and Regression Using Supervised Learning

• Introduction
• Classification
• Various steps to build a classifier using Python
• Lazy learning versus eager learning
• Performance metrics for classification
• Regression
• Various steps to build a regressor using Python
• Performance metrics for regression
• Conclusion
• Questions

Clustering Using Unsupervised Learning

• Introduction
• Clustering
• Various methods to form clusters
• Important ML clustering algorithms
• Conclusion
• Questions

Solving Problems with Logic Programming

• Introduction
• Logic programming
• Building blocks of logic programming
• Useful Python packages for logic programming
• Implementation examples
• Conclusion
• Questions

Natural Language Processing with Python

• Introduction
• Natural Language Processing (NLP)
• Installing Python's NLTK Package
• Understanding tokenization, stemming, and lemmatization
• Understanding chunking
• Understanding Bag-of-Words (BoW) model
• Understanding stop words
• Understanding vectorization and transformers
• Some examples
• Conclusion

Implementing Speech Recognition with Python

• Introduction
• Basics of speech recognition
• Building a speech recognizer
• Conclusion
• Questions

Implementing Artificial Neural Network (ANN) with Python

• Introduction
• Understanding of Artificial Neural Network (ANN)
• Optimizers for training the neural network
• Regularization
• Installing useful Python package for ANN
• Examples of building some neural networks
• Conclusion
• Questions

Implementing Reinforcement Learning with Python

• Understanding reinforcement learning
• Markov Decision Process (MDP)
• Building blocks of reinforcement learning
• Constructing an environment using Python
• Constructing an agent using Python
• Conclusion
• Questions

Implementing Deep Learning and Convolutional Neural Network

• Introduction
• Understanding Deep Learning
• Elucidation of Convolutional Neural Networks
• The Architecture of Convolutional Neural Network
• Localization and object recognition with deep learning
• Image classification using CNN in Python
• Conclusion
• Questions