Schulungsübersicht
spark.mllib: Datentypen, Algorithmen und Dienstprogramme
- Datentypen: Grundlegende Statistiken, zusammenfassende Statistiken, Korrelationen, geschichtete Stichproben, Hypothesentests, Streaming-Signifikanztests, zufällige Datengenerierung
Voraussetzungen
Kenntnisse in einem der folgenden Bereiche:
- Java
- Scala
- Python
- SparkR
Erfahrungsberichte (8)
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Kurs - 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
Kurs - Big Data Analytics in Health
Sufficient hands on, trainer is knowledgable
Chris Tan
Kurs - A Practical Introduction to Stream Processing
very interactive...
Richard Langford
Kurs - SMACK Stack for Data Science
Engagement und Bereitschaft zur Klärung von Nebenthemen.
Marek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.
Kurs - Apache Spark Fundamentals
Maschinelle Übersetzung
Having hands on session / assignments
Poornima Chenthamarakshan - Intelligent Medical Objects
Kurs - Apache Spark in the Cloud
Die Übungen und der Austausch bei Fragen / Antworten
Antoine - Physiobotic
Kurs - Scaling Data Pipelines with Spark NLP
Maschinelle Übersetzung
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.