Artificial Intelligence & Data Science
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Artificial Intelligence

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Course Report - Artificial Intelligence

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

Course Description

This graduate-level course offers an introduction to the fundamentals of Artificial Intelligence (AI). It covers a wide range of topics in the field and provides a thorough exploration of key concepts such as classical search, probability, machine learning, logic, and planning. The course aims to equip students with a comprehensive understanding of AI and its applications. It also emphasizes the integration of AI with data science, highlighting the importance of combining these two disciplines for effective problem-solving. By the end of the course, students will have gained a solid foundation in AI and be well-equipped to apply their knowledge in practical settings. Overall, this course provides a valuable opportunity for individuals interested in artificial intelligence to deepen their understanding and develop their skills in this rapidly growing field.

Course Overview

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Are you comfortable programming in Python, including IPython notebooks? If not, are you comfortable in learning a language within the first week of class?

Have you taken several classes that required intensive programming?

Have you taken algorithms and data structures courses?

Are you prepared to spend at least 9 hours a week on this class?

What You Will Learn

SearchGame PlayingBasics of SearchLogic and Planning

Constraints and Bayes NetsConstraint SatisfactionProbabilityBayes Nets

Basics of Machine LearningSimulated AnnealingMachine LearningPattern Recognition through Time

Course Instructors

Thad Starner

Instructor

Instructor
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