SparkML
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Explore more → **SparkML**
What is SparkML?
Spark MLlib (or Spark ML) is Apache Spark's machine learning library. It provides a variety of machine learning algorithms (classification, regression, clustering, collaborative filtering), feature transformations, evaluation, and ML pipeline construction tools. It is commonly used for building scalable machine learning models for big data applications.
What other technologies are related to SparkML?
SparkML Competitor Technologies
MXNet
MXNet is a deep learning framework that competes with MLlib for certain machine learning tasks.
TensorFlow
TensorFlow is a deep learning framework that competes with MLlib for certain machine learning tasks, especially deep neural networks.
H2O.ai
H2O.ai is a machine learning platform that provides distributed algorithms that compete with SparkML.
PyTorch
PyTorch is a deep learning framework that competes with MLlib for certain machine learning tasks, especially deep neural networks.
Keras
Keras is a high-level API for building neural networks that can be used with TensorFlow, Theano, or CNTK, and thus serves as a competitor in the deep learning space.
Caffe2
Caffe2 is a deep learning framework that competes with MLlib, particularly for computer vision tasks. (Now merged into PyTorch).
Mahout
Mahout is a machine learning library, formerly closely associated with Hadoop, that offers some competing algorithms to SparkML.
CNTK
CNTK is a deep learning framework that competes with MLlib for certain machine learning tasks.
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SparkML Complementary Technologies
SciPy
SciPy provides numerical routines and algorithms that can be used in conjunction with SparkML for data processing and analysis.
scikit-learn
Scikit-learn provides a wide range of machine learning algorithms that can be used with Spark for large-scale data analysis, often for model exploration before scaling up with SparkML.
RDD caching
No summary available
RDD caching is a Spark feature that can significantly improve the performance of iterative machine learning algorithms used in SparkML.
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Which job functions commonly mention SparkML?
Applied Scientist
13.0% of all Applied Scientist jobs mention SparkML
View 1.5k
jobs on Sumble
MLOps Engineer
1.1% of all MLOps Engineer jobs mention SparkML
View 87
jobs on Sumble
Machine Learning
0.9% of all Machine Learning jobs mention SparkML
View 954
jobs on Sumble
Data Scientist
0.5% of all Data Scientist jobs mention SparkML
View 1.3k
jobs on Sumble
Data, Analytics & Machine Learning
0.2% of all Data, Analytics & Machine Learning jobs mention SparkML
View 2.7k
jobs on Sumble
Which organizations are mentioning SparkML?
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