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AI & ML Made Easy : A Comprehensive Guide (2024)
Unfolding The AI Universe
Kickstart Your Journey: Introduction to the Course (1:10)
Unlock the Mystery: Understanding Intelligence (7:06)
AI Simplified: Defining Artificial Intelligence (5:49)
Travel Through Time: The Evolution of AI (11:21)
AI and Beyond: Exploring the Philosophy (10:16)
Behind the Scenes: The Science of AI (4:51)
Why AI? Decoding its Current Popularity (7:27)
Dive Deeper: Exploring Different Areas of AI (10:44)
Understanding and Applying Machine Learning
Demystifying the Process: How Machines Learn (14:21)
AI Revolution: Creating a Paradigm Shift (14:10)
Machine Learning in Action: Real-World Examples (9:19)
Everyday AI: Common Applications of Machine Learning (8:49)
Machine Learning Mastery: From Basics to Advanced Concepts
Machine Learning Uncovered: An Overview (8:55)
The Backbone: Fundamental Theory Behind Machine Learning (7:15)
Deciphering the Jargon: Machine Learning Terminology (4:57)
The Machine Learning Blueprint: Understanding the Process (8:22)
Diverse Paths: Exploring Machine Learning Approaches (3:10)
Role of Statistics & Computer Science in Machine Learning (7:19)
Deep Dive into Supervised, Unsupervised, and Reinforcement Learning
Guided Learning: An Introduction to Supervised Learning (9:23)
Unveiling the Mechanism: How Supervised Machine Learning Works (11:03)
Supervised Learning in Action: A Practical Example (10:59)
Autonomous Learning: Unsupervised Machine Learning Overview (6:20)
The Underlying Mechanism: How Unsupervised Machine Learning Works (4:10)
Spotlight on Unsupervised Learning: A Practical Example (8:05)
Learning by Doing: An Insight into Reinforcement Learning (7:40)
Crunching Numbers: Exploring Statistical Algorithms (3:53)
Navigating the Business and Economic Aspects of AI and Machine Learning
From App to Solution: Transforming Problem Solving (12:51)
Understanding the Economics of AI (10:08)
Navigating the AI Landscape: From Concepts to Practical Implementation
The Standard: General Machine Learning Process (9:26)
The Human Element: Understanding Bias in Machine Learning (10:21)
The AI Artisans: Who Implements AI (14:11)
Exploring Languages for Implementing Machine Learning (8:25)
Using Machine Learning for Business Problem Solving (15:53)
Deep Learning, Natural Language Processing, and Computer Vision
Diving Deep: An Introduction to Deep Learning (14:07)
Understanding Natural Language Processing (NLP) (12:50)
Creating Realities: Generative AI & Overview (13:37)
Stages, Types, and Ethical Considerations
The AI Spectrum: Exploring Types of AI (6:15)
Understanding Stages of AI (8:20)
AI with Conscience: Responsible & Ethical AI (8:13)
Deciphering the Jargon: Machine Learning Terminology
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