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Tag Archives | Data science

Figure 1. Machine Learning Adoption Rates. Click image to enlarge.

Machine Learning Adoption Rates Around the World

A worldwide survey of data professionals showed that adoption of machine learning methods in their company is 45%. Twenty-one percent of survey respondents said their employer is exploring ML methods. ML adoption rates varied by country with Israel (63%), Netherlands (57%) and the United States (56%) showing the highest and Egypt (31%), Morocco (24%) and […]

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Figure 1. Primary tools used to analyze data.

Data Professionals Use of Analytics and Business Intelligence Tools

Data professionals prefer analytics tools over business intelligence tools when getting insights from their data. Nearly half of data professionals surveyed in Kaggle’s 2020 Data Science and Machine Learning Survey said they do not use BI tools. The top tool used by data professionals to analyze data are local development environments (48%), followed by basic […]

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Figure 1. Programming languages used in 2020. Click image to enlarge.

For Data Professionals, Python Remains Top Programming Language while R Continues to Decline

Data professionals of all stripes, including data scientists, machine learning engineers and others, use different types of tools in their jobs. A recent survey of over 20,000 data professionals by Kaggle revealed that Python, SQL and R continue to be the most popular programming languages. The most popular, by far, was Python (86% used). Additionally, […]

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Figure 1. Machine Learning Algorithms Used in 2019. Click image to enlarge.

Top Machine Learning Algorithms, Frameworks, Tools and Products Used by Data Scientists

A recent survey by Kaggle revealed that data professionals used a variety of different algorithms, tools, frameworks and products to extract insights. Top algorithms were linear/logistic regression, decision trees/random forests and Gradient Boosting Machines. Top frameworks were Scikit-learn and TensorFlow. Top tools for automation were related to model selection and data augmentation. While half of […]

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