Interested to Buy Any Domain ? << Click Here >> for more details...
How is it completely different from doing machine learning in r or sas?
- 1 Answers
- 54 Views
- I also Faced
- E-Mail Answers
Answer / Manoj Chauhan
Apache Mahout, while also used for machine learning, differs significantly from R and SAS. Unlike R and SAS, which are primarily statistical software packages, Apache Mahout is a library written in Scala and developed as part of Apache Hadoop ecosystem. It focuses on distributed computing and machine learning algorithms that can be scaled across clusters. Additionally, it provides a Java API for developers to use these machine learning algorithms, making it an attractive option for those working with big data.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain the difference between mahout & mllib?
What is the distinction between apache driver and apache spark’s mllib?
How is it different from doing machine learning in r or sas?
What are the machine learning algorithms supports in apache mahout?
How can we scale apache mahout in cloud?
What will apache driver do?
What is the difference between apache mahout and cloudera oryx ?
What is mahout hadoop?
What is the roadmap for apache driver version one.0?
Mention some use cases of apache mahout?
What are the features of apache mahout?
What is the difference between apache mahout and prediction.io ?
-
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)
