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Description of  Foundations Of A.I. - Knowledge Representation & Learning

Published 12/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.12 GB | Duration: 3h 35m Knowledge Representation Techniques, Machine Learning What you'll learn To study the principles of Artificial Intelligence To have deeper knowledge on various paradigms of Artificial Intelligence To provide the knowledge about knowledge representation and reasoning To understand the process of representing knowledge graphically To have adequate knowledge in developing expert systems Requirements None Description Overview Section 1: About the Program Lecture 1 Course Introduction Lecture 2 Course Outline Section 2: What is Artificial Intelligence Lecture 3 What is A.I.? Lecture 4 A.I. Paradigms Lecture 5 Applications of A.I. Section 3: Software Installation Lecture 6 Installing Anaconda Distribution Lecture 7 Handling Jupyter Notebooks 1 Lecture 8 Handling Jupyter Notebooks 2 Section 4: Knowledge Representation Lecture 9 Knowledge based Agents Lecture 10 Representing knowledge Lecture 11 Knowledge Representation Techniques Lecture 12 Expert Systems Lecture 13 Build Expert System in Python Lecture 14 Semantic Networks Lecture 15 Building a Semantic Network using Networkx Section 5: Learning Lecture 16 Introduction to Machine Learning Lecture 17 Types of Machine Learning Lecture 18 Decision Trees Lecture 19 Decision Trees with Python Lecture 20 Applications of Decision Trees Lecture 21 Linear Regression Lecture 22 Linear Regression in Python Lecture 23 Applications of Linear Regression Section 6: About the Program Lecture 24 Course Conclusion