What is the difference between apache mahout and spark mllib ?
Answer / Deepak Malik
Mahout and MLlib are both machine learning libraries, but they differ in several aspects. Mahout is a part of the Apache Hadoop ecosystem and mainly focuses on providing machine learning algorithms using MapReduce, while MLlib is a machine learning library developed by Apache Spark. MLlib offers a broader range of algorithms compared to Mahout, and it can run those algorithms more efficiently due to its in-memory data processing capabilities.
| Is This Answer Correct ? | 0 Yes | 0 No |
Can you explain recommendation engine?
What is the difference between apache mahout and prediction.io ?
What is the difference between apache mahout and apache spark’s mllib?
Mention some machine learning algorithms exposed by mahout?
What are the machine learning algorithms supports in apache mahout?
What is the roadmap for apache mahout version 1.0?
What is the roadmap for apache driver version one.0?
What is the distinction between apache driver and apache spark’s mllib?
What are the uses and applications of mahout ?
What is mahout hadoop?
Can you explain clustering in mahout?
How is it different from doing machine learning in r or sas?
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)