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Poll
What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months? (there are 4 categories of tools: General DS/ML platforms, Languages, Deep Learning, and Big Data)

General Data Science/Machine Learning platforms and tools:
Altair/Datawatch/Angoss
Alteryx
Amazon Machine Learning/SageMaker
Anaconda
BayesiaLab
BigML
C4.5/C5.0/See5
CatBoost
Cloudera Data Science Workbench
Databricks Unified Analytics Platform
Dataiku
DataRobot
Domino Data Labs
Excel
Gnu Octave
Google Cloud AutoML
Gurobi
H2O.ai
IBM Cognos
IBM DSX/Watson Studio
IBM SPSS Modeler
IBM SPSS Statistics
Information Builders WebFocus
JMP
KNIME
LightGBM
Looker
Mathematica
MATLAB
Microsoft Azure Machine Learning
Microsoft Machine Learning Server
Microsoft other ML/Data Science tools
Microsoft Power BI
Microsoft SQL Server
MicroStrategy
Minitab/Salford Predictive Modeler
MLlib - Spark ML Library
Mode Analytics
Oracle Data Science Platform
Orange Data Mining
Pentaho
QlikView
RapidInsight/Veera
RapidMiner
Rattle Data Mining
SAP Analytics/Predictive Analytics
SAP HANA
SAS Base
SAS Enterprise Miner
scikit-learn
Sisense
Solver (former XLMiner)
Stata
Tableau
Teradata
TIBCO Data Science
TIBCO Spotfire
Vowpal Wabbit
Weka
XGBoost
Other free analytics/data mining tools
Other paid analytics/data mining/data science software

Programming and Data Languages:
Languages: C/C++
Java
Javascript
Julia
Lisp
Perl
Python
R Language
Scala
SQL Language
Unix shell/awk
Other programming and data languages

Deep Learning Platforms and Frameworks:
Apache MXnet
Caffe
Chainer
DeepLearning4J
fastai library
Keras
Microsoft Cognitive Toolkit
PyTorch
Tensorflow
TFLearn
Theano
Torch
Other Deep Learning Tools

Big Data Platforms and Frameworks:
Apache Kafka
Apache Spark
Apache Storm
Datameer
Flink
Google Bigquery
Hadoop: Commercial Tools
Hadoop: Open Source Tools
SQL on Hadoop tools
Sqream
WSO2 Stream Processor


Current Results

Previous poll results: Top Data Science and Machine Learning Methods Used in 2018, 2019
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