Machine Learning Algorithms and the Data Pros Who Use Them
A recent survey by Kaggle revealed that data professionals used a variety of different ML algorithms in their work.
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 […]
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 […]
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, […]
Who Does the Machine Learning and Data Science Work?
A survey of over 19,000 data professionals showed that nearly 2/3rds of respondents said they analyze data to influence product/business decisions. Only 1/4 of respondents said they do research to advance the state of the art of machine learning. Different data roles have different work activity profiles with Data Scientists engaging in more different work […]
Top Tools Used by Data Professionals to Analyze Data
Analysis of usage of 5 primary tools used to analyze data showed that the top tool used by data professionals to analyze data are local development environments (54%), followed by basic statistical software (20%), cloud-based data software and APIs (8%), advanced statistical software (6%) and business intelligence software (6%). Tool usage differed across different job […]
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 […]
Most Popular Integrated Development Environments (IDEs) Used by Data Scientists
Results of a worldwide survey of data professionals, the top used Integrated Development Environments (IDEs) are: Jupyter (73% have used), Visual Studio (31%), RStudio (30%), PyCharm (29%) and Notepad++ (22%). Integrated Development Environments (IDEs) helps programmers consolidate different aspects of software development. An IDE typically consists of: 1) source code editor, 2) build automation tools […]
Beyond the Ultimate Question
Measuring Customer Satisfaction and Loyalty (3rd Ed.)