Programa do Curso
spark.mllib: tipos de dados, algoritmos e utilitários
- Tipos de dados Estatísticas básicas, resumo de estatísticas, correlações, amostragem estratificada, teste de hipótese, streaming, teste de significância, geração aleatória de dados
Requisitos
Conhecimentos de um dos seguintes domínios:
- Java
- Scala
- Python
- SparkR
Declaração de Clientes (8)
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Curso - 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
Curso - Big Data Analytics in Health
Sufficient hands on, trainer is knowledgable
Chris Tan
Curso - A Practical Introduction to Stream Processing
very interactive...
Richard Langford
Curso - SMACK Stack for Data Science
Empenho e disponibilidade para esclarecer temas laterais.
Marek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.
Curso - Apache Spark Fundamentals
Machine Translated
Having hands on session / assignments
Poornima Chenthamarakshan - Intelligent Medical Objects
Curso - Apache Spark in the Cloud
Exercícios e sessões de perguntas e respostas
Antoine - Physiobotic
Curso - Scaling Data Pipelines with Spark NLP
Machine Translated
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.