Artificial Intelligence

Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.

Artificial intelligence is a theory and development of computer systems that can perform tasks that normally require human intelligence. Speech recognition, decision-making, visual perception, for example, are features of human intelligence that artificial intelligence may possess.

Syllabus:

• Introduction to Data Science
• Understanding Data Science
• The Data Science Life Cycle
• Understanding Artificial Intelligence (AI)
• Overview of Implementation of Artificial Intelligence
• Machine Learning
• Deep Learning
• Artificial Neural Networks (ANN)
• Natural Language Processing (NLP)
• How Python connected to Machine Learning
• Python as a tool for Machine Learning Implementation
• Introduction to Python
• What is Python and history of Python
• Python-2 and Python-3 differences
• Install Python and Environment Setup
• Python Identifiers, Keywords and Indentation
• Comments and document interlude in Python
• Command line arguments and Getting User Input
• Python Basic Data Types and Variables
• List, Ranges & Tuples in Python
• Understanding Lists in Python
• Understanding Iterators
• Generators, Comprehensions and Lambda Expressions
• Understanding and using Ranges
• Python Dictionaries and Sets
• Introduction to the section
• Python Dictionaries and More on Dictionaries
• Sets and Python Sets Examples
• Input and Output in Python
• Reading and writing text files
• Appending to Files
• Writing Binary Files Manually and using Pickle Module
• Python functions
• Python user defined functions
• Python packages functions
• The anonymous Functions
• Loops and statement in Python
• Python Modules & Packages
• Python Exceptions Handling
• What is Exception?
• Handling an exception
• try….except…else
• try-finally clause
• Argument of an Exception
• Python Standard Exceptions
• Raising an exceptions
• User-Defined Exceptions
• Python Regular Expressions
• What are regular expressions?
• The match Function and the Search Function
• Matching vs Searching
• Search and Replace
• Extended Regular Expressions and Wildcard
• Useful additions
• Collections – named tuples, default dicts
• Debugging and breakpoints, Using IDEs
• Data Manipulation using Python
• Understanding different types of Data
• And more.