Plan du cours
spark.mllib : types de données, algorithmes et utilitaires
- Types de données Statistiques de base statistiques récapitulatives corrélations échantillonnage stratifié tests d'hypothèses streaming tests de signification génération de données aléatoires
Pré requis
Connaissance de l'un des domaines suivants
- Java
- Scala
- Python
- SparkR
Nos Clients témoignent (8)
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Formation - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.
Safar Alqahtani - Elm Information Security
Formation - Big Data Analytics in Health
Sufficient hands on, trainer is knowledgable
Chris Tan
Formation - A Practical Introduction to Stream Processing
very interactive...
Richard Langford
Formation - SMACK Stack for Data Science
Engagement et volonté de clarifier les sujets secondaires.
Marek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.
Formation - Apache Spark Fundamentals
Traduction automatique
Having hands on session / assignments
Poornima Chenthamarakshan - Intelligent Medical Objects
Formation - Apache Spark in the Cloud
Les exercices et les échanges lors de questions / réponses
Antoine - Physiobotic
Formation - Scaling Data Pipelines with Spark NLP
The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.