Artificial Intelligence (AI) Training In Chennai
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. It aims to create intelligent machines. It has become an essential part of the technology industry.
Modern machine capabilities include the features of Speech recognition, Learning, Planning, Problem solving.
Artificial Intelligence can be classified into
analytical - has only characteristics consistent with cognitive intelligence
human-inspired - has elements from cognitive and emotional intelligence, and
humanized artificial intelligence - shows characteristics of all types of competencies (i.e., cognitive, emotional, and social intelligence), is able to be self-conscious and is self-aware in interactions with others.
Some of the activities computers with artificial intelligence are
The AI field draws upon computer science, information engineering, mathematics, psychology, linguistics, philosophy, and many other fields.
The core problems of artificial intelligence include programming computers for certain traits such as:
Knowledge - Knowledge representation and Commonsense knowledge
Reasoning & Problem solving - algorithms that imitated step-by-step reasoning that humans use when they solve puzzles or make logical deductions.
Perception - Machine perception, Computer vision, and Speech recognition
Learning - Machine learning, a fundamental concept of AI research since the field's inception, is the study of computer algorithms that improve automatically through experience.
Planning - is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles. Unlike classical control and classification problems, the solutions are complex and must be discovered and optimized in multidimensional space. Planning is also related to decision theory.
Ability to manipulate and move objects
Artificial Intelligence Course Content
What is Data Science?
What is Machine Learning?
What is Deep Learning?
What is AI?
Data Analytics & it’s types
What is Python?
Why Python?
Installing Python
Python IDEs
Jupyter Notebook Overview
Python Basic Data types
Lists
Slicing
IF statements
Loops
Dictionaries
Tuples
Functions
Array
Selection by position & Labels
Pandas
Numpy
Sci-kit Learn
Mat-plot library
Reading CSV files
Saving in Python data
Loading Python data objects
Writing data to csv file
Selecting rows/observations
Rounding Number
Selecting columns/fields
Merging data
Data aggregation
Data munging techniques
Central Tendency
Mean
Median
Mode
Skewness
Normal Distribution
Probability Basics
What does mean by probability?
Types of Probability
ODDS Ratio?
Standard Deviation
Data deviation & distribution
Variance
Linear Regression
Linear Equation
Slope
Intercept
R square value
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What are common uses and/or applications for AI?
Contract analysis, object detection and classification for avoidance and/or navigation,image recognition, content distribution, predictive maintenance, data processing,automation of manual tasks or data-driven reporting.
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What are intelligent agents and how are they used in AI?
Intelligent agents are autonomous entities that use sensors to know what is going on,and then use actuators to perform their tasks or goals.
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What is TensorFlow and what is it used for?
TensorFlow is an open-source software library originally developed by the Google Brain Team for use in machine learning and neural networks research and also used for data-flow programming.
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What is machine learning and how does it relate to AI?
Machine learning is a subset of AI. The idea is that machines will “learn” and get better at tasks over time rather than having humans constantly having to input parameters.Machine learning is a practical application of AI.
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What is automatic programming?
Automatic programming is describing what a program should do and then having the AI system “write” the program.
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What is a Bayesian network and how does it relate to AI?
A Bayesian network is a graphical model for probabilistic relationships among a set of variables. It mimics the human brain in processing variables.
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