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Machine Learning Conventional Programming Vs Machine Learning
Types of Machine Learning Deep Learning
Neural Networks How Does a Neural Network Work?
What Machine Learning Can and Cannot Do? Jobs in AI
AI Ready-1 132
Unit-2 AI Applications and Methodologies 133
Key Fields of Application in AI Computer Vision
Weather Prediction using AI Google’s Nowcasting
Price Forecast for Commodities Self-Driving Cars
Characteristics and Types of AI Cognitive Computing (Perception, Learning, and Reasoning)
AI and Society The Future with AI and AI in Action
Non-technical Explanation of Deep Learning Challenges Posed by AI
AI Ready-2 159
Unit-3 Maths for AI 160
Introduction to Matrices Order of Matrix
Types of Matrices Applications of Matrices in AI
Operations on Matrices Vector Arithmetic
Set Theory Relational Algebra
Set Operations Introduction to Data Table Joins
Simple Statistical Concepts Variance and Standard Deviation
Visual Representation of Data Simple Linear Equation and Regression
AI Ready-3 196
Unit-4 AI Values (Ethical Decision Making) 197
Issues and Concerns around AI AI and Ethical Concerns
AI and Bias What do we do about the Biases in AI?
AI: Ethics, Bias, and Trust Employment and AI
AI Ready-4 211
Unit-5 Introduction to Storytelling 212
Storytelling: Communication Across the Ages How to Tell a Fabulous Story with your Data?
Conflict and Resolution Need for Storytelling
Why is Data Storytelling Difficult? Storytelling for Audience
Insights from Storytelling
AI Ready-5 228
Unit-6 Critical & Creative Thinking 229
What is Design Thinking? Right Questioning
Identifying the Problem to Solve Ideate
Empathy Map
AI Ready-6 242
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