Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...

Overview: Focuses on skills, projects, and AI readiness, not hypeCovers degrees, certificates, and online programmesHelps ...

Nine data-driven research projects have won funding from Princeton University’s Schmidt DataX Fund, which aims to spread and deepen the use of artificial intelligence and machine learning across ...

Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know. The most powerful and flexible data science tool is a programming ...

Tech companies, and increasingly even non-tech companies, are struggling with the fact that there are not enough trained data scientists to fill market demand. Every company has their own strategy for ...

For the first time in Tiobe's long-running index, 35-year-old Python has overtaken Java to become the second-most popular programming language. Python, a top choice for data-science and ...