Why Julia is the Future for Data Science Projects
Offered By: NPTEL-NOC IITM via YouTube
Course Description
Overview
Explore the potential of Julia as the future language for data science projects in this 34-minute video lecture. Learn why Indian industry should consider adopting Julia over R or Python for data science initiatives. Discover how Julia's CRRao train achieves comparable statistical model accuracy with faster performance than R and Python, making it an ideal choice in the era of cloud computing. Understand the economic benefits of Julia's speed and its status as a "green language" that reduces the carbon footprint of data science projects.
Syllabus
Why Julia is Future for Data Science Projects?
Taught by
NPTEL-NOC IITM
Related Courses
Software as a ServiceUniversity of California, Berkeley via Coursera Software Defined Networking
Georgia Institute of Technology via Coursera Pattern-Oriented Software Architectures: Programming Mobile Services for Android Handheld Systems
Vanderbilt University via Coursera Web-Technologien
openHPI Données et services numériques, dans le nuage et ailleurs
Certificat informatique et internet via France Université Numerique