EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login

Artificial Intelligence Tutorial

Home » Data Science » Data Science Tutorials » Artificial Intelligence Tutorial

Basics

Introduction to Artificial Intelligence

What is Artificial Intelligence

Careers in Artificial Intelligence

Future of Artificial Intelligence

Uses of Artificial Intelligence

Artificial Intelligence Ethics

Types of Artificial Intelligence

Artificial Intelligence Tools Applications

Artificial Intelligence Applications

Advantages of Artificial Intelligence

Artificial Intelligence Tools

Benefits of Artificial Intelligence

Artificial Intelligence Companies

Artificial Intelligence Techniques

Artificial Intelligence Software

How Artificial Intelligence Works?

Importance of Artificial Intelligence

Subsets of Artificial Intelligence

Artificial Intelligence Problems

Artificial Intelligence Technology

Application of Neural Network

Applications of NLP

Global Positioning Systems

Production System in AI

Agents in Artificial Intelligence

Intelligent Agent in AI

Artificial Intelligence Algorithm

Search Algorithms in AI

Robotics and Automation

Robotics and Coding

Robotics and Artificial Intelligence

Informed Search

Bidirectional Search

Adversarial Search

Uninformed Search

Uniform Cost Search

Hill Climbing in Artificial Intelligence

Propositional Logic in AI

Minimax Algorithm

Applications of Fuzzy Logic

Fuzzy Logic System

Implementation of Neural Networks

Turing Test in AI

Recurrent Neural Networks (RNN)

Spiking Neural Network

Feedforward Neural Networks

Probabilistic Neural Network

Overfitting Neural Network

Means-Ends Analysis

DNN Neural Network

Principal Component Analysis

Computational Intelligence

Artificial Intelligence Interview Questions

Pattern Recognition

Pattern Recognition

Pattern Recognition Algorithms

Forensic Tools

PRTools

Pattern Recognition Applications

Artificial Intelligence Tutorial

The Artificial Intelligence tutorial is the set of resources and training materials to set the course of your data science journey. Artificial Intelligence is an interdisciplinary field that combines concepts of multiple fields like mathematics, statistics, physics and computer science which looks it difficult to learn at a glance. But systematic learning and the right balance between theory and practice is all you need to make the learning fruitful.

Why do we need to learn AI?

Artificial Intelligence is changing the world in each and every aspect. It is now a fact that ‘Data is the new oil’ from the end of the last decade. From manufacturing, communication, Insurance, heavy engineering, defense to healthcare, artificial intelligence is driving the business and Innovation.

Let’s list down the top 3 reasons why you need to learn AI?

1. Because it’s everywhere

With the boom in cheap data rates and indefinite bandwidth, AI became an integral part of our day to day life. Do you ever wonder how ecommerce giants like Amazon, Flipkart or entertainment giants like YouTube, Netflix are recommending your taste with utmost accuracy? In the literacy of AI, this is called recommendation systems. Amazon’s Alexa, Apple’s Siri are some examples of the advancement of Natural Language Processing. Transport, Insurance, Healthcare AI is literally everywhere.

2. AI is changing the Job Landscape

Days are gone where companies with higher revenue generate more jobs. AI is creating new job profiles every year by changing traditional job roles. For example, you no longer need a support team for 24/7 support, Chatbots are replacing the manual intervention. Indian fashion giant Myntra even started designing their outfit by state of the art deep learning models instead of fashion designers. One interesting job perspective of AI is the applications are not bound by any domains.

3. Because the opportunities are endless

As per google still, Industries are using only 50% of structured and 1% of unstructured data for business insights. So it is certain that more and more carriers from different sectors will involve in the digital transformation which is a great opportunity for IT vendors and technology professionals.

Applications of AI

In a high level, we can divide the genres of AI application as following

  • Machine learning.
  • Computer vision.
  • Natural language processing and machine translation.
  • Unsupervised learning and cluster analysis etc.

Example

Google has developed a model that can predict flu outbreak before 15 days based on the google search! Can you imagine? This is where the magnitude of change is happening around the world based on AI.

Prerequisites

Basic understanding of mathematics especially linear algebra, probability and statistics is a must. Experience in any of the programing language will be a plus.

Target Audience

Professionals for this field come from various domains like mathematics, statistics, engineering, management, etc. Anybody interested in pursuing a career in AI or genuinely want to know about various domains and applications of AI can go through the tutorials.

Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

© 2022 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

Special Offer - All in One Data Science Bundle (360+ Courses, 50+ projects) Learn More