Real time Sessions on Ai
What you will learn
AI History
Ai Solving Problems Searching
Machine Learning
Foundation AI Matrix
Learn about influential figures who laid the groundwork for AI
Examine landmark achievements that defined key stages in AI development
Understand the historical phases of AI winters and their impact on the field
Explore factors that contributed to the resurgence of interest in AI
Trace the evolution from rule-based systems to machine learning.
Explore pivotal moments and breakthroughs in the ascent of machine learning algorithms.
Understand the basics of problem-solving in AI
Description
Real time Sessions on Ai
Explore the conceptual origins of AI.
Understand the initial motivations and vision behind creating artificial intelligence.
Learn about influential figures who laid the groundwork for AI.
Examine landmark achievements that defined key stages in AI development.
Understand the historical phases of AI winters and their impact on the field.
Explore factors that contributed to the resurgence of interest in AI.
Trace the evolution from rule-based systems to machine learning.
Explore pivotal moments and breakthroughs in the ascent of machine learning algorithms.
Understand the basics of problem-solving in AI.
Explore common problem-solving paradigms and strategies.
Dive into various search algorithms used in AI.
Examine their applications in finding solutions within different problem spaces.
Explore heuristic approaches to problem-solving.
Understand optimization techniques to enhance search efficiency.
Embark on a fascinating exploration of artificial intelligence (AI) by delving into its historical roots. This module serves as the foundation, unraveling the evolution of AI, key milestones, and the pivotal figures who shaped this transformative field.
In this module, focus shifts towards problem-solving and searching techniques within the AI domain. Learn how AI systems navigate complex problem spaces and search for optimal solutions.
Transition into the world of machine learning, a pivotal component of AI. This module introduces the fundamental concepts and applications of machine learning.
Establish a solid foundation for deep artificial intelligence by exploring the essential elements that form the AI matrix.
Key Takeaways:
AI History: Grasp the historical evolution of AI and its impact on contemporary applications.
Solving Problems Searching: Develop problem-solving skills and understand search algorithms and heuristics.
What is Machine Learning: Gain insight into the fundamentals of machine learning, its types, algorithms, and evaluation.
Foundation AI Matrix: Establish a foundational understanding of the AI matrix, considering ethical considerations and future trends.
Courtesy,
Dr. FAK Noble Ai Researcher, Scientists, Product Developer, Innovator & Pure Consciousness Expert
Founder of Noble Transformation Hub TM
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