Author Archive | Bob Hayes

Figure 1. Top Machine Learning Algorithms Used in 2020. Click image to enlarge.

Machine Learning Algorithms and the Data Pros Who Use Them

By Bob Hayes on February 14, 2021 in Data Science, Machine Learning

A recent survey by Kaggle revealed that data professionals used a variety of different ML algorithms in their work.

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

Machine Learning Adoption Rates Around the World

By Bob Hayes on February 1, 2021 in Analytics, Artificial Intelligence, Machine Learning

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 […]

Figure 1. Primary tools used to analyze data.

Data Professionals Use of Analytics and Business Intelligence Tools

By Bob Hayes on January 19, 2021 in Analytics, Data Science

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 […]

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

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

By Bob Hayes on January 11, 2021 in Analytics, Data Science, Machine Learning

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, […]

Figure 2. Typical work activities vary across different data roles.

Who Does the Machine Learning and Data Science Work?

By Bob Hayes on August 4, 2020 in Data Science, Machine Learning

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 […]

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

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

By Bob Hayes on July 22, 2020 in Machine Learning

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 […]

Figure 1. Integrated Development Environments (IDEs) used by data professionals.

Most Popular Integrated Development Environments (IDEs) Used by Data Scientists

By Bob Hayes on July 14, 2020 in Analytics, Data Science

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 […]

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