Symbolic Artificial Intelligence (AI) is a subfield of AI that focuses on the processing and manipulation of symbols or concepts, rather than numerical data.

Machine perception refers to the capability of machines to interpret and make sense of sensory information from the environment.

Lazy learning algorithms work by memorizing the training data rather than constructing a general model.

Discover the top 100 data portfolios on DataCamp. These exceptional individuals have demonstrated their expertise and accomplishments in the world of data science.

Discover the importance of data literacy for your career growth, job market potential, and societal impact. Learn how to upskill in data and stay ahead in the competitive professional landscape.

Find out about DataCamp's upcoming podcast series focussing on the power of ChatGPT and generative AI.

Discover how DataCamp Donates hit record numbers in 2023 Q1—administering over 5,400 new scholarships—enabling data science education access for people who need it most.

We interviewed ChatGPT to get its thoughts on the development of Large Language Models, how Transformers and GPT-3 and GPT-4 work, and what the future holds for these AIs.

Explore the growing importance of data literacy, insights from the State of Data Literacy 2023 Report, and best practices for implementing data literacy programs.

DataCamp has launched a new certification for Data Engineers to demonstrate they are ready for their first role!

Explore the winners of a recent competition analyzing the most common attributes of popular Netflix content.

Dive into pandas 2.0, the latest update of the essential data analysis library, with new features like PyArrow integration, nullable data types, and non-nanosecond datetime resolution for better performance and efficiency.