Schița de curs
spark.mllib: tipuri de date, algoritmi și utilitare
- Tipuri de date Statistici de bază rezumat statistici corelații eșantionare stratificată testarea ipotezei streaming testare semnificație generare aleatorie de date
Cerințe
Cunoștințe despre unul dintre următoarele:
- Java
- Scala
- Python
- SparkR
Mărturii (8)
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.
Raul Mihail Rat - Accenture Industrial SS
Curs - Python, Spark, and Hadoop for Big Data
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Curs - 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
Curs - Big Data Analytics in Health
Sufficient hands on, trainer is knowledgable
Chris Tan
Curs - A Practical Introduction to Stream Processing
very interactive...
Richard Langford
Curs - SMACK Stack for Data Science
Angajamentul și disponibilitatea de a clarifica subiectele secundare.
Marek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.
Curs - Apache Spark Fundamentals
Tradus de catre o masina
Having hands on session / assignments
Poornima Chenthamarakshan - Intelligent Medical Objects
Curs - Apache Spark in the Cloud
Exerciții și sesiuni de întrebări și răspunsuri
Antoine - Physiobotic
Curs - Scaling Data Pipelines with Spark NLP
Tradus de catre o masina