~/talk

Predictive modelling with Python

Talkat PyData Berlin 2016 · 2016-05-20..05-21· [machine-learning, python]
slides:none on file

Covers predictive modeling using Python tools for data analysis, focusing on practical workflows and libraries (slides linked). Discusses applying Python ecosystems—likely including packages shown in slides and accompanying GitHub repo—to manage, process and analyze data for building predictive models.

AI-written summary · about

  1. 0:00Start
  2. 0:44Big RAM is eating big data
  3. 14:21The need for scaling out in ML
  4. 17:13Limitations of PySpark
  5. 46:21Massively Parallel Processing
  6. 46:44Problem with the use of SQL in MPP
  7. 49:19Secrets of the success of Python (& R) in Data Science
  8. 50:02Conclusion
  9. 51:46Dask + Distributed limitations
  10. 54:41dask/distributed on GKE
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