Applications of Data Science

Data Science for Business

Mari Nazary

VP Product & Learner Experience at the Lambda School

More case studies

• Traditional machine learning
• Internet of Things (IoT)
• Deep Learning

Case study: fraud detection

Case study: fraud detection

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What do we need for machine learning?

• A well-defined question
  • "What is the probability that this transaction is fraudulent?"
• A set of example data
  • Old transactions labeled as "fraudulent" or "valid"
• A new set of data to use our algorithm on
  • New credit card transactions

Case study: smart watch

Internet of Things

• Smart watches
• Internet-connected home security systems
• Electronic toll collection systems
• Building energy management systems
• Much, much more!

Case study: image recognition

Case study: image recognition

Deep learning

• Many neurons work together
• Requires much more training data
• Used in complex problems
  • Image classification
  • Language learning/understanding

Let's practice!

Data Science for Business