Apache Spark (Pt. 2): MLlib - ML 074

Apache Spark (Pt. 2): MLlib - ML 074

MLlib is Apache Spark's scalable machine learning library. Today, Ben and Michael discuss the ease of use, performance, algorithms, and utilities included in this library and how to execute the best ML workflow with MLlib.

In this episode...

  1. Why stick with Spark libraries vs. a single node operation?
  2. What algorithms are not in Spark Lib?
  3. What is the min. package set to use for supervised learning?
  4. Modeling and validation
  5. Down-sampling your data
  6. MLlib vs. scikit-learn
  7. Resources

Sponsors


Links



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.

Suosittua kategoriassa Liike-elämä ja talous

puheenaihe
psykopodiaa-podcast
mimmit-sijoittaa
sijotuskasti
rss-rahapodi
pomojen-suusta
ostan-asuntoja-podcast
herrasmieshakkerit
rss-neuvottelija-sami-miettinen
hyva-paha-johtaminen
raharesepti
rss-tyoelaman-timantteja
inderespodi
oppimisen-psykologia
juristipodi
sijoituspodi
rss-paikoillenne-valmiit-laakikseen
rss-startup-ministerio
rss-myynti-ei-ole-kirosana
rss-vastuullisuus-tyoelamassa