Data science involves extracting valuable insights from complex datasets. While this process can be technically challenging and time-consuming, it can lead to better business decision-making.
Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons.
Hong Kong University’s recent Asian Young Scientist Fellowship Conference was a window into where the technologies and innovation that will reshape the industries of the future will come from.
The success of Australia’s six-shield cybersecurity strategy could depend on how well the nation manages the vast pools of data that will underpin the identification and mitigation of cyberthreats.
Becoming a data scientist often involves getting a degree or certification and learning skills in cloud computing, statistics and probability, and database management among others.
Computer vision, data labeling and annotation, cloud AI services, and intelligence applications are the most mature applications of AI, according to Gartner's 2023 AI Hype Cycle.