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Investigating AI: From Fundamentals to Practical Applications

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This course on Artificial Intelligence and Machine Learning is designed to provide students with an in-depth understanding of the fundamental concepts and techniques used in the field of AI/ML. Through a combination of theoretical lectures and practical exercises, students will learn how to build and train models using various algorithms and techniques. The course covers a wide range of topics, including supervised and unsupervised learning, decision trees, neural networks, and deep learning.

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, INTRODUCTION
Artificial Intelligence and Machine Learning have rapidly
become two of the most exciting and dynamic fields of
computer science. From image recognition to speech
recognition, from self-driving cars to recommendation
systems, AI/ML technologies are revolutionizing the way
we live, work and interact with the world around us. As
such, there is a growing demand for skilled professionals
who can build and deploy intelligent systems. This
beginner-level course on AI/ML aims to provide an
introduction to the fundamentals of AI/ML, covering
topics such as supervised and unsupervised learning,
neural networks, and deep learning. Through a
combination of theoretical lectures and practical
exercises, students will gain an understanding of the key
concepts and techniques used in AI/ML and develop
hands-on skills to build and train their own models.
Whether you are a student, a professional looking to up
skill or simply curious about AI/ML, this course offers an
exciting opportunity to explore this rapidly-evolving field.

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Uploaded on
March 29, 2023
Number of pages
9
Written in
2022/2023
Type
Class notes
Professor(s)
Dr. pradeep
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