At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of ...

Embracing Python for data science and ML. According to the latest Python Developers Survey, data analysis is now the single most popular usage for Python, cited by 51% of developers, with ML also ...

The golden rule of machine learning is that an algorithm is only as good as the data it’s fed. 95% of advertisers, per the Interactive Advertising Bureau’s Data Center of Excellence, have ...

If you’re doing work in statistics, data science, or machine learning, the odds are high you’re using Python. And for good reason, too: The rich ecosystem of libraries and tooling, and the ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...

Even though Oracle is late to the ML PaaS party, it has unique capabilities in the form of AutoML, tight integration with the data warehouse, model explainability, and comprehensive model management.

When Guido van Rossum first conceived of Python back in the late 1980s, the goal was not to create the world’s most popular language for data science. Who could have predicted that Python would get a ...