Course Outline
Spark.mllib: 데이터 유형, 알고리즘 및 유틸리티
- 데이터 유형 기본 통계 요약 통계 상관 관계 계층화 샘플링 가설 테스트 스트리밍 유의성 테스트 무작위 데이터 생성
Requirements
다음 중 하나에 대한 지식:
- 자바
- Scala
- 파이썬
- 스파크R.
회원 평가 (8)
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
Course - 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
Course - Big Data Analytics in Health
Sufficient hands on, trainer is knowledgable
Chris Tan
Course - A Practical Introduction to Stream Processing
very interactive...
Richard Langford
Course - SMACK Stack for Data Science
부수적인 주제를 설명하려는 헌신과 의지.
Marek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.
Course - Apache Spark Fundamentals
Machine Translated
Having hands on session / assignments
Poornima Chenthamarakshan - Intelligent Medical Objects
Course - Apache Spark in the Cloud
질문/답변 중 연습 및 교환
Antoine - Physiobotic
Course - 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.