Apache Spark Integration and Platform Execution for ML - ML 073

Apache Spark Integration and Platform Execution for ML - ML 073

Apache Spark is a lightning-fast unified analytics engine for large-scale data processing and machine learning. In this episode, Ben and Michael unpack Spark by ping-ponging questions and answers, supplemented by various examples applicable to machine learning workflows. In this Episode…
  1. How does Spark work?
  2. What makes Apache Spark effective?
  3. Dot repartition in Spark
  4. Parallel processing systems
  5. What is an aggregation in Spark sequel?
  6. Analytics with Spark
  7. What is MPP?
  8. Testing for production
  9. Spark algorithms
Sponsors Sponsored By:

Advertising Inquiries: https://redcircle.com/brands

Privacy & Opt-Out: https://redcircle.com/privacy

Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Jaksot(209)

Suosittua kategoriassa Liike-elämä ja talous

sijotuskasti
mimmit-sijoittaa
rss-rahapodi
psykopodiaa-podcast
ostan-asuntoja-podcast
herrasmieshakkerit
rss-rahamania
rahapuhetta
rss-seuraava-potilas
rss-merja-mahkan-rahat
rss-40-ajatusta-aanesta
rss-bisnesta-bebeja
rss-20-30-40-podcast
rss-draivi
rss-strategian-seurassa
rss-porssipuhetta
rss-lahtijat
rss-levosta-kasin-yrittajyys
rss-paasipodi
rss-inderes