Duration
Big Data Analytics with AI
5 days
Outline
Big Data
- Large Data Sets Examples
- Big Data challenges
- Big Data Technologies
- Apache Spark
- Storage
- Cloud solutions
- Cloud services
- Cloud providers
- Top Big Data Technologies
- Velocity
- Performance considerations
- Variety
- Data Ingestion and Transformation (ETL)
- SQL Integration service (Demo)
- Datawarehouse structure
- Fact and diminution
- Star schema
- Data types considerations
- Reporting
- Transformations
- Introduction to DAX data analysis
- Computing And Analysis
- Visualization
- Collaboration
- Advanced Excel analysis
- Power BI analysis
AI
- Introduction to Artificial Intelligence
- A Short History of AI
- State of the Art
- Machine Learning
- AI Challenges
Fundamentals of machine learning
Types of machine learning
- Regression
- Binary classification
- Multiclass classification
- Clustering
- Deep learning
- Azure Machine Learning
- Exercise - Explore Automated Machine Learning in Azure Machine Learning Text Analysis in Azure
Computer vision in Azure
Language understanding in Azure
Search solution in Azure
Research Ethics
- Human Downgrading
- Attention Economy
- Exploiting Cognitive Biases
- Persuasive Tech is Everywhere
- Digital Exit Strategy
- Introduction to Research Ethics
- Origins: Unethical Medical Research
- Unethical Social Research
- Taking Responsibility
- The Common Rule
- Ethical Computational Social Science
- Concerns of an AI Pioneer
- Walker on Ethics
- Shelton on Ethics
- Language Acquisition
- Modeling Framework
- Computational Model
The generative AI revolution
- The roadmap, from basic to advanced and beyond
- The generative revolution: coming home
- The present and future of AI is generative
- Applications of generative AI
- Latent spaces and representation learning
- Benefits and possibilities of Generative AI
- Coming home: generative AI and human nature
- Exercises
Programme scope, delivery arrangements and suitability are confirmed during enquiry.