Introduction to Artificial Intelligence

March 5, 2020

Introduction to Artificial Intelligence: This module introduces machine learning and discussed how algorithms and languages are used. Describe the purpose of Azure Machine Learning,and list the main features of Azure Machine Learning Studio, At the end of this module the student will be able to upload and explore various types of data in Azure machine learning.

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Leading AI textbooks define the field as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term “artificial intelligence” is often used to describe machines (or computers) that mimic “cognitive” functions that humans associate with the human mind, such as “learning” and “problem solving”.

As machines become increasingly capable, tasks considered to require “intelligence” are often removed from the definition of AI, a phenomenon known as the AI effect. A quip in Tesler’s Theorem says “AI is whatever hasn’t been done yet.” For instance, optical character recognition is frequently excluded from things considered to be AI , having become a routine technology. Modern machine capabilities generally classified as AI include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go), autonomously operating cars, intelligent routing in content delivery networks, and military simulations.

The field was founded on the assumption that human intelligence “can be so precisely described that a machine can be made to simulate it”. This raises philosophical arguments about the nature of the mind and the ethics of creating artificial beings endowed with human-like intelligence. These issues have been explored by myth, fiction and philosophy since antiquity. Some people also consider AI to be a danger to humanity if it progresses unabated. Others believe that AI, unlike previous technological revolutions, will create a risk of mass unemployment.

In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding; and AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science, software engineering and operations research

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Module 1: Introduction to Machine Learning

Introduction to Azure machine learning studio

Module 3: Managing Datasets

Module 4: Preparing Data for use with Azure Machine Learning

Using feature selection

Module 6: Building Azure Machine Learning Models

Module 7: Using Classification and Clustering with Azure machine learning models

Module 8: Using Python

Using R

Module 9: Initializing and Optimizing Machine Learning Models

Module 10: Using Azure Machine Learning Models

Module 11: Using Cognitive Services

Module 12: Using Machine Learning with HDInsight

Module 13: Using R Services with Machine Learning

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