How is it different from doing machine learning in r or sas?
Answer / Sandeep Singh Rana
Apache Mahout, R, and SAS are all tools for machine learning, but they differ in several aspects. Apache Mahout is a Java library primarily designed for big data processing, using distributed computing frameworks like Hadoop. In contrast, R is a programming language with a focus on statistical computing and graphics, while SAS is a commercial software suite offering various analytics functionalities. Each tool has its own strengths, and the choice depends on the specific requirements of the project.
| Is This Answer Correct ? | 0 Yes | 0 No |
How is it different from doing machine learning in r or sas?
What is the difference between apache mahout and apache spark’s mllib?
What is the use of apache mahout?
What is the roadmap for apache driver version one.0?
What are the machine learning algorithms supports in apache mahout?
Can you explain how it is different from doing machine learning in r or sas?
How can we scale apache mahout in cloud?
Mention some machine learning algorithms exposed by mahout?
How mahout used with python ?
Can you explain difference between apache mahout and apache spark’s mllib?
What is the history of apache mahout? When did it start?
What is the roadmap for apache mahout version 1.0?
Apache Hadoop (394)
MapReduce (354)
Apache Hive (345)
Apache Pig (225)
Apache Spark (991)
Apache HBase (164)
Apache Flume (95)
Apache Impala (72)
Apache Cassandra (392)
Apache Mahout (35)
Apache Sqoop (82)
Apache ZooKeeper (65)
Apache Ambari (93)
Apache HCatalog (34)
Apache HDFS Hadoop Distributed File System (214)
Apache Kafka (189)
Apache Avro (26)
Apache Presto (15)
Apache Tajo (26)
Hadoop General (407)