Programme for Machine Learning

Programme

Machine Learning in Finance 2019

Day 1

09:00

Registration

10:00

Understanding and developing an effective big data strategy

  • Extracting value from limited information
  • Three Key Components of Big Data Analytics
  • Big Data Management: Infrastructure and Technology
  • Data Availability, Accessibility and Integrity
  • Batch and Stream Processing
  • Advanced Analytics: Insights Generation and Algorithms Development 
  • Modern Data Analysis: Structured/Unstructured Data Modelling
  • Insights Consumption: Application and Visualisation
  • Case Studies: Use Cases in the Financial Services Sector

10:00

Morning break

10:00

Machine learning models

  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Deep learning
  • Advanced machine learning models

10:00

Lunch

10:00

Conversational AI – Beyond the chatbot hype

  • Current state of the AI industry applied to digital assistants/chatbots 
  • Source, real research and development behind it 
  • Challenges 
    • Data 
    • Scalability and production issues 

10:00

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11:00

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Day 2

09:00

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10:00

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11:00

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