Machine Learning, Artificial Intelligence, and Deep Learning Explained

Overview

Delve into the fascinating world of Artificial Intelligence, Machine Learning, and Deep Learning with expert insights from Buck Woody. This session offers a comprehensive understanding of these cutting-edge technologies, shedding light on their core differences and practical applications.

Explore various implementation strategies with a particular focus on SQL Server platform technologies.

This event is available on YouTube, categorized under Artificial Intelligence Courses and Conference Talks, offering valuable knowledge for enthusiasts and professionals looking to deepen their understanding of AI technologies.

Syllabus

• Introduction to AI, ML, and DL
Definitions and Key Concepts
Historical Context and Evolution
Real-world Applications and Use-Cases
• Differences Between AI, ML, and DL
Overview of AI, ML, and DL
Key Distinctions and Overlaps
Practical Scenarios for Each Technology
• Machine Learning (ML) Foundations
Supervised vs. Unsupervised Learning
Key Algorithms: Regression, Classification, Clustering
Model Training, Validation, and Testing
• Artificial Intelligence (AI) in Practice
Rule-based Systems
Intelligent Agents
Applications in Natural Language Processing and Robotics
• Deep Learning (DL) Essentials
Neural Networks Basics
Convolutional Networks and Applications
Recurrent Networks and Sequence Modeling
• Implementation Platforms and Tools
Overview of Popular ML and DL Frameworks
Programming Languages: Python, R, Others
Introduction to SQL Server for AI and ML
• SQL Server Platform Technologies for AI/ML
Machine Learning Services in SQL Server
Integration of R and Python
Building and Deploying Machine Learning Models
• Use-cases and Case Studies
Industry-specific Examples
Successful Implementations
Lessons Learned and Best Practices
• Ethical Considerations and Future Trends
Bias and Fairness in AI
AI and Data Privacy
Emerging Trends and Technologies
• Course Wrap-Up and Next Steps
Recap of Key Learnings
Opportunities for Further Study
Resources and Tools for Continued Learning

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Subjects

Conference Talks