The 2019 Kaggle Machine Learning and Data Science Survey

Take the 2019 Kaggle Machine Learning and Data Science Survey and prepare for the upcoming analytics challenge!

https://bit.ly/35mNB07

Who/what are your favorite media sources that report on data science topics? (Select all that apply)
- Reddit (r/machinelearning, r/datascience, etc)
- Slack Communities (ods.ai, kagglenoobs, etc)
- Podcasts (Chai Time Data Science, Linear Digressions, etc)
- Journal Publications (traditional publications, preprint journals, etc)
- Kaggle (forums, blog, social media, etc)
- Hacker News (https://news.ycombinator.com/)
- Course Forums (forums.fast.ai, etc)
- YouTube (Cloud AI Adventures, Siraj Raval, etc)
- Twitter (data science influencers)
- Blogs (Towards Data Science, Medium, Analytics Vidhya, KDnuggets etc)

On which platforms have you begun or completed data science courses? (Select all that apply)
- edX
- Fast.ai
- University Courses (resulting in a university degree)
- DataCamp
- DataQuest
- Udacity
- Kaggle Courses (i.e. Kaggle Learn)
- Coursera
- Udemy
- LinkedIn Learning

What is the primary tool that you use at work or school to analyze data? (Include text response)
- Basic statistical software (Microsoft Excel, Google Sheets, etc.)
- Advanced statistical software (SPSS, SAS, etc.)
- Business intelligence software (Salesforce, Tableau, Spotfire, etc.
- Local development environments (RStudio, JupyterLab, etc.)
- Cloud-based data software & APIs (AWS, GCP, Azure, etc.)

How long have you been writing code to analyze data (at work or at school)?
- I have never written code
- < 1 years
- 1-2 years
- 3-5 years
- 5-10 years
- 10-20 years
- 20+ years

Which of the following integrated development environments (IDE's) do you use on a regular basis? (Select all that apply)
- Jupyter (JupyterLab, Jupyter Notebooks, etc) https://jupyter.org/
- RStudio https://rstudio.com/
- PyCharm https://www.jetbrains.com/pycharm/
- Atom https://ide.atom.io/
- MATLAB https://www.mathworks.com/products/matlab.html
- Visual Studio / Visual Studio Code https://code.visualstudio.com/
- Spyder https://www.spyder-ide.org/
- Vim / Emacs https://www.vim.org/
- Notepad++ https://notepad-plus-plus.org/
- Sublime Text https://www.sublimetext.com/

Which of the following hosted notebook products do you use on a regular basis? (Select all that apply)
- Google Cloud Notebook Products (AI Platform, Datalab, etc) https://cloud.google.com/ai-platform-notebooks/
- Paperspace / Gradient https://gradient.paperspace.com/
- Microsoft Azure Notebooks https://notebooks.azure.com/
- Kaggle Notebooks (Kernels) https://www.kaggle.com/kernels/
- AWS Notebook Products (EMR Notebooks, Sagemaker Notebooks, etc) https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-managed-notebooks.html/
- IBM Watson Studio https://www.ibm.com/cloud/watson-studio/
- Binder / JupyterHub https://mybinder.org/
- FloydHub https://www.floydhub.com/
- Code Ocean https://codeocean.com/
- Google Colab https://colab.research.google.com/

What programming languages do you use on a regular basis? (Select all that apply)
- C
- R
- Java
- C++
- Python
- Javascript
- Bash
- TypeScript
- MATLAB
- SQL

What programming language would you recommend an aspiring data scientist to learn first?
- Python
- R
- C++
- Java
- Bash
- MATLAB
- C
- SQL
- TypeScript
- Javascript

What data visualization libraries or tools do you use on a regular basis? (Select all that apply)
- Ggplot / ggplot2 https://cran.r-project.org/web/packages/ggplot2/index.html
- Plotly / Plotly Express https://plot.ly/
- Altair https://altair-viz.github.io/
- Shiny https://cran.r-project.org/web/packages/shiny/index.html
- D3.js https://d3js.org/
- Seaborn https://seaborn.pydata.org/
- Matplotlib https://matplotlib.org/
- Bokeh https://bokeh.pydata.org/en/latest/index.html
- Leaflet / Folium https://leafletjs.com/
- Geoplotlib https://github.com/andrea-cuttone/geoplotlib

Which types of specialized hardware do you use on a regular basis? (Select all that apply)
- CPUs
- GPUs
- TPUs

Have you ever used a TPU (tensor processing unit)?
- Never
- Once
- 2-5 times
- 6-24 times
- > 25 times

For how many years have you used machine learning methods?
- < 1 years
- 1-2 years
- 2-3 years
- 3-4 years
- 4-5 years
- 5-10 years
- 10-15 years
- +20 years

Which of the following ML algorithms do you use on a regular basis? (Select all that apply)
- Dense Neural Networks (MLPs, etc)
- Convolutional Neural Networks
- Recurrent Neural Networks
- Decision Trees or Random Forests
- Linear or Logistic Regression
- Transformer Networks (BERT, gpt-2, etc)
- Bayesian Approaches
- Evolutionary Approaches
- Gradient Boosting Machines (xgboost, lightgbm, etc)
- Generative Adversarial Networks
- Other

Which categories of ML tools do you use on a regular basis? (Select all that apply)
- Automated data augmentation (e.g. imgaug, albumentations)
- Automated feature engineering/selection (e.g. tpot, boruta_py)
- Automated model selection (e.g. auto-sklearn, xcessiv)
- Automated model architecture searches (e.g. darts, enas)
- Automated hyperparameter tuning (e.g. hyperopt, ray.tune)
- Automation of full ML pipelines (e.g. Google AutoML, H20 Driverless AI)
- Other
- None

Which of the following machine learning frameworks do you use on a regular basis? (Select all that apply)
- Caret https://cran.r-project.org/web/packages/caret/index.html
- TensorFlow https://www.tensorflow.org/
- Xgboost https://xgboost.readthedocs.io/en/latest/
- LightGBM https://lightgbm.readthedocs.io/en/latest/
- Fast.ai https://docs.fast.ai/
- Scikit-learn https://scikit-learn.org/stable/
- Spark MLib https://spark.apache.org/mllib/
- PyTorch https://pytorch.org/
- RandomForest https://cran.r-project.org/web/packages/randomForest/index.html
- Keras https://keras.io/
- Other
- None

Which of the following cloud computing platforms do you use on a regular basis? (Select all that apply)
- IBM Cloud https://www.ibm.com/cloud/
- Microsoft Azure https://azure.microsoft.com/en-us/
- Amazon Web Services (AWS) https://aws.amazon.com/
- Salesforce Cloud https://www.salesforce.com/products/sales-cloud/features/
- VMware Cloud https://cloud.vmware.com/
- Red Hat Cloud https://www.redhat.com/en/technologies/cloud-computing/cloud-suite/
- Google Cloud Platform (GCP) https://cloud.google.com/gcp/
- Oracle Cloud https://www.oracle.com/cloud/
- Alibaba Cloud https://us.alibabacloud.com/
- SAP Cloud https://cloudplatform.sap.com/index.html
- Other
- None

Which specific cloud computing products do you use on a regular basis? (Select all that apply)
- Google Kubernetes Engine https://cloud.google.com/kubernetes-engine/
- Google Compute Engine (GCE) https://cloud.google.com/compute/
- AWS Elastic Beanstalk https://aws.amazon.com/elasticbeanstalk/
- Azure Container Service https://azuremarketplace.microsoft.com/en-us/marketplace/apps/microsoft.acs
- Google App Engine https://cloud.google.com/appengine/
- Azure Virtual Machines https://azure.microsoft.com/en-us/services/virtual-machines/
- AWS Batch https://aws.amazon.com/batch/
- Google Cloud Functions https://cloud.google.com/functions/
- AWS Elastic Compute Cloud (EC2) https://aws.amazon.com/ec2/
- AWS Lambda https://aws.amazon.com/lambda/
- Other
- None

Which specific big data / analytics products do you use on a regular basis? (Select all that apply)
- AWS Kinesis https://aws.amazon.com/kinesis/
- Microsoft Analysis Services https://azure.microsoft.com/en-us/services/analysis-services/
- Teradata https://www.teradata.com/
- AWS Athena https://aws.amazon.com/athena/
- Google BigQuery https://cloud.google.com/bigquery/
- AWS Redshift https://aws.amazon.com/redshift/
- Databricks https://databricks.com/
- Google Cloud Dataflow https://cloud.google.com/dataflow/
- Google Cloud Pub/Sub https://cloud.google.com/pubsub/docs/
- AWS Elastic MapReduce https://aws.amazon.com/emr/
- Other
- None

Which of the following machine learning products do you use on a regular basis? (Select all that apply)
- Google Cloud Speech-to-Text https://cloud.google.com/speech-to-text/
- Amazon SageMaker https://aws.amazon.com/sagemaker/
- Google Cloud Translation https://cloud.google.com/translate/
- Azure Machine Learning Studio https://studio.azureml.net/
- Google Cloud Machine Learning Engine https://cloud.google.com/ml-engine/
- RapidMiner https://rapidminer.com/
- Cloudera https://www.cloudera.com/
- Google Cloud Vision https://cloud.google.com/vision/
- Google Cloud Natural Language https://cloud.google.com/natural-language/
- SAS https://www.sas.com/en_us/home.html
- Other
- None

Which automated machine learning tools (or partial AutoML tools) do you use on a regular basis? (Select all that apply)
- Auto_ml https://github.com/ClimbsRocks/auto_ml/
- DataRobot AutoML https://www.datarobot.com/lp/automated-machine-learning-works-business/
- MLbox https://github.com/AxeldeRomblay/MLBox/
- Tpot https://github.com/EpistasisLab/tpot/
- H20 Driverless AI https://www.h2o.ai/products/h2o-driverless-ai/
- Google AutoML https://cloud.google.com/automl/
- Xcessiv https://github.com/reiinakano/xcessiv/
- Databricks AutoML https://databricks.com/product/automl-on-databricks/
- Auto-Keras https://github.com/keras-team/autokeras/
- Auto-Sklearn https://github.com/automl/auto-sklearn/
- Other
- None

Which of the following relational database products do you use on a regular basis? (Select all that apply)
- AWS DynamoDB https://aws.amazon.com/pt/dynamodb/
- Azure SQL Database https://azure.microsoft.com/en-us/services/sql-database/
- Google Cloud SQL https://cloud.google.com/sql/docs/
- MySQL https://www.mysql.com/
- Microsoft Access https://products.office.com/en-us/access/
- PostgreSQL https://www.postgresql.org/
- Microsoft SQL Server https://www.microsoft.com/pt-br/sql-server/sql-server-2019
- AWS Relational Database Service https://aws.amazon.com/rds/
- Oracle Database https://www.oracle.com/database/index.html
- SQLite https://www.sqlite.org/
- Other
- None

Congratulations, you finished the survey!

Thank you for participating in the 2019 Kaggle Machine Learning and Data Science Survey!  As an additional thank-you all survey participants will be the first ones to receive an email with the survey’s results.

Thanks again!
The Kaggle Team