Interested to Buy Any Domain ? << Click Here >> for more details...
Explain the difference between mahout & mllib?
- 1 Answers
- 52 Views
- I also Faced
- E-Mail Answers
Answer / Neha Rastogi
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 |
What is the roadmap for apache driver version one.0?
What are the different clustering in mahout?
What is the roadmap for apache mahout version 1.0?
Can you explain difference between apache mahout and apache spark’s mllib?
What is the distinction between apache driver and apache spark’s mllib?
How is 0xdata's h2o different from apache mahout ?
What is the history of apache mahout? Once did it start?
Can you briefly explain the apache mahout?
What is the difference between apache mahout and spark mllib ?
How can we scale apache mahout in cloud?
How is it different from doing machine learning in r or sas?
What are the machine learning algorithms supports in apache mahout?
-
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)
