Machine Learning

Applications and practices

€ - Business tips - €

  • ML is not the core, is a tool
  • Optimization, no absolute solutions
  • Microservices are your friends

Main applications for the web

  • Classification
  • Regression
  • Clustering
  • Recommendation

Classification

example: Sentiment analysis

Regression

example: Price estimation

Clustering

example: Personas

Recommendation

example: Collaborative filtering

Issues

  • Data: "garbage in, garbage out"
  • Model: "nobody is perfect"

Data issues

  • Harvest (quantity)
  • Cleaning (quality)
  • Integration (pertinency)

Model issues

Choosing an algorithm
Reaching 100% accuracy?
by Crowdflower
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