Fundamentals of AI and ML
The course helps you build the basics of Artificial Intelligence and Machine Learning. The course is designed in such a way that even the learners with no prior...
The course helps you build the basics of Artificial Intelligence and Machine Learning. The course is designed in such a way that even the learners with no prior...
AI is one of the most fascinating and universal areas of computer science, with enormous future potential. AI has a tendency to make machines function like humans. You will gain knowledge from this course about the characteristics of agents, AI search techniques, and various software design techniques using Prolog. You'll learn about the potential, advantages, and restrictions of various artificial intelligence and machine learning techniques. To understand complex concepts and relate them to particular scenarios, you can employ a selection of AI and machine learning algorithms to address real-world challenges. The capacity to assess available learning strategies and choose the most effective ones to complete a task will also be provided by this course. Prolog programming allows you to create a variety of software agents. By the end of this course, you will be able to understand fundamentals of Artificial intelligence, machine learning, learning models & algorithms, prolog programming, software agents and etc.
Introduction to AI
AI vs ML vs DL
0:08:35History and Background
0:06:06Impact on foundations engineering and future directions
0:07:14Intelligent agents and environments
0:06:40Rational agents
0:04:23Nature of environments in AI
0:06:16Problem solving agents
0:05:14Fundamentals of AI and ML Quiz - Module 1
0:15:00Search strategies - Uninformed
0:08:50Search strategies - Informed
0:04:44Adversal search
0:07:08Local search algorithms
0:06:14Knowledge representation
0:06:46Proposition and first order logic
0:05:31Prolog Introduction
0:03:26Prolog [Facts Simple code in prolog Variables]
0:05:15Prolog Conjunction, Disjunction & Structures
0:05:29Prolog Operators
0:03:39Prolog Lists, Searching & Backtracking
0:06:05Prolog Cut & Fail
0:02:18Fundamentals of AI and ML quiz - Module 2
0:15:00Probability theory and Linear algebra
0:04:43Convex optimization
0:07:01Statistical decision theory
0:04:12Probability for ML
0:05:47Random variables, Mean, Variance, Standard Deviation
0:04:42Common distributions
0:09:23Mean, variance and Joint distributions
0:04:07Data representations
0:05:58Feature learning and Applications
0:05:41Statistical inference for ML
0:04:47Fundamentals of AI and ML Quiz - Module 3
0:15:00Introduction to machine learning
0:07:12Types of ML
0:08:27Perspectives and Issues in ML
0:07:36Introduction Classification
0:06:57Clustering
0:07:13Linear regression and its applications
0:03:44Underfitting and Overfitting
0:04:50Hyper values and validation sets
0:05:32Estimators, Bias and Variance
0:03:13Bayesian Statistics
0:07:24The curse of dimensionality
0:05:15Fundamentals of AI and ML Quiz - Module 4
0:15:00Basic understanding of programming languages.
A laptop/desktop to complete the lab sessions/practicals
Agents and Environments
Search Strategies
Knowledge Representation
Mathematical foundations for AI and ML
Machine Learning and its types
Classification and Clustering
Sentiment analysis
Prolog Programming
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6550 Students
1 Course
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Dr. M. Maragatharajan, presently working as an assistant professor in the school of computing science and engineering at VIT Bhopal University, Madhya Pradesh. He has more than 13 years of teaching experience and more than 8 years of research experience. During his tenure, he has served in a variety of administrative capacities. His area of research includes Machine learning and Data Science. He has a can-do attitude, an open mind, is straightforward, committed to lifelong learning, and is result-oriented. He has been actively involved in educational research, and his research papers have been published both in international conferences and in peer-reviewed journals. He has more than 20 journal articles in various journals, and 16 papers have been presented at conferences. He has addressed innumerable guest lectures, conducted and organized several Faculty Development Programme (FDP) trainings. He has published a textbook, and he has granted one patent. He is an editorial board member for various journals and conferences. He has completed many certifications, including EMC2 and LabVIEW. He is very eager to develop personality traits by attending workshops, seminars, and faculty development programmes. He has completed one consultancy project worth Rs. 15,000.
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English
Certificate Course
6550 Students
05h 49m
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