Table of Content
Chapter 1 : Principles of Artificial Intelligence
- Course Overview
- Installation and Setup
- Lesson Overview
- Introduction to AI and Machine Learning
- How Does AI Solve Real World Problems?
- Fields and Applications of Artificial Intelligence
- AI Tools and Learning Models
- The Role of Python in Artificial Intelligence
- A Brief Introduction to the NumPy Library
- Python for Game AI
- Breadth First Search and Depth First Search
- Lesson Summary
Chapter 2 : AI with Search Techniques and Games
- Lesson Overview
- Heuristics
- Tic-Tac-Toe
- Pathfinding with the A* Algorithm
- Introducing the A* Algorithm
- Game AI with the Minmax Algorithm
- Game AI with Alpha-Beta Pruning
- Lesson Summary
Chapter 3 : Regression
- Lesson Overview
- Linear Regression with One Variable
- Fitting a Model on Data with scikit-learn
- Linear Regression with Multiple Variables
- Preparing Data for Protection
- Polynomial and Support Vector Regression
- Lesson Summary
Chapter 4 : Classification
- Lesson Overview
- The Fundamentals of Classification Part 1
- The Fundamentals of Classification Part 2
- The k-nearest neighbor Classifier
- Classification with Support Vector Machines
- Lesson Summary
Chapter 5 : Using Trees for Predictive Analysis
- Lesson Overview
- Introduction to Decision Trees
- Entropy
- Gini Impurity
- Precision and Recall
- Random Forest Classifier
- Random Forest Classification Using scikit-learn
- Lesson Summary
Chapter 6 : Clustering
- Lesson Overview
- Introduction to Clustering
- The k-means Algorithm
- Mean Shift Algorithm
- Lesson Summary
Chapter 7 : Deep Learning with Neural Networks
- Lesson Overview
- TensorFlow for Python
- Introduction to Neural Networks
- Forward and Backward Propagation
- Training the TensorFlow Model
- Deep Learning
- Lesson Summary
Apply for certification
https://www.vskills.in/certification/artificial-intelligence-certification-course