Artificial intelligence (AI) is a branch of computer science that seeks to build intelligent machines capable of completing tasks that would normally require human intelligence. It employs algorithms and data-driven techniques to enable computers to make decisions and perform actions based on their analysis of input data. AI technology is used in a variety of fields, including robotics, natural language processing, machine learning, and deep learning.
AI algorithms are used to automate everyday tasks, from creating customer profiles to recognizing faces in a crowd. AI-enabled applications can also be used to analyze large amounts of data, identify patterns, and make decisions in complex scenarios. AI is also used to create predictive models and offer recommendations for decisions in business and personal contexts. Python is a popular programming language used to develop AI applications, and its libraries and frameworks make it easy to create powerful machine learning algorithms.
Audience
Artificial intelligence (AI) is a field of computer science dedicated to creating intelligent machines that can think and act like humans. AI is used to automate everyday tasks and make decisions in complex scenarios, and its algorithms are used to analyze large amounts of data, identify patterns, and make predictions. Python is a popular programming language used to develop AI applications, and its libraries and frameworks make it easy to create powerful machine learning algorithms.
This tutorial is designed for graduates, postgraduates, and research students who want to learn more about AI and its implementation in Python. It covers the basic concepts of various fields of AI, such as Artificial Neural Networks, Natural Language Processing, Machine Learning, Deep Learning, and Genetic Algorithms, and provides the reader with an understanding of how to create AI applications using Python.
Prerequisites
Artificial intelligence (AI) is an area of computer science that seeks to create intelligent machines capable of completing tasks that would traditionally require human intelligence. AI technology is used to automate everyday tasks and make decisions in complex scenarios based on its analysis of input data. Python is a popular programming language used to develop AI applications, and its libraries and frameworks make it easy to create powerful machine learning algorithms.
This tutorial is designed for graduates, postgraduates, and research students who have an interest in AI or have this subject as part of their curriculum. It covers the basic concepts of various fields of AI, such as Artificial Neural Networks, Natural Language Processing, Machine Learning, Deep Learning, and Genetic Algorithms, and provides the reader with an understanding of how to create AI applications using Python.
We assume that the reader has a basic understanding of Artificial Intelligence and Python programming, as well as knowledge of basic terminologies used in AI and some useful Python packages such as nltk, OpenCV, pandas, and OpenAI Gym. After completing this tutorial, the reader should be able to develop basic AI applications using Python.