New Kaggle survey on ML and Data Science
Updated: Feb 18, 2021
Kaggle releases survey on Machine Learning and Data Science
InfoQ article https://www.infoq.com/news/2021/02/kaggle-report-2020
Kaggle Executive Summary of survey on Machine Learning and Data Science
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According to the survey, most Kaggle data scientists are likely to:
* Be late 20's in age
* Live in India or the U.S.
* Have a Master's degree
* Learn with Coursera
* Years programming experience: U.S. 5-10 yr. Global 3-5 yr.
* Years ML experience: U.S. 5-10 yr. Global 1-2 yr.
* Salary: U.S. $150-200K Global $100-125K
* Work in companies with less than 50 people
* Data Science team has 1-2 people
* Use JupyterLab for development
* Popular algorithms: Linear/Logistics Regression, Decision Trees, Random Forests
* Popular Frameworks: Scikit-learn, TensorFlow, Keras, Xgboost, PyTorch
* Cloud use: Amazon AWS, Google Cloud Platform
* Cloud products: None, Amazon SageMaker, Google Cloud AI, Azure ML Studio
* Business Intelligence: None, Tableau, Microsoft Power BI
* Popular databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB
* Automated ML: Google Cloud AutoML, H20 Driverless AI, DataRobot AutoML
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