Datascience Guide

• How and when to do data embedding exploration
  • What is this guide about ?
  • Data exploration in the Machine Learning pipeline
  • Data exploration technic focus : Data Embedding
  • Data Embedding exploration in Prevision Platform
  • Getting and Working with the Embedding Vector
  • Going Further and use the API
• Full ML pipeline: From data collection to deploying using Prevision.io
  • What’s in this guide ?
  • Data acquisition
  • Feature engineering
  • Define the problem
  • Experiment
  • Evaluate
  • Deploy
  • Schedule
  • Monitoring
  • Conclusion
• Cross validating your machine learning models
  • Cross Validation Strategies
  • Validation technique: Know about the future performance
  • Common techniques to prevent performance collapse
  • The impact of a cross-validation strategy
• Text Classification with Prevision.io Data Platform
  • Text classification experiment with Prevision.io’s UI
  • Text classification experiment with Prevision.io’s SDK
  • Conclusion
• Synthetic Data for machine Learning : A guide
  • Usage of synthetic Data
  • Performance of synthetic Data Generator evaluation
  • Statistical properties of Generated Synthetic Data
  • Generating good Synthetic Data
  • Machine Learning efficiency
  • Going Further