In today’s rapidly changing world, quality education is a key crucial factor for economic growth and development. Online educational platforms offers interactive and innovative access to quality education and student-focused learning experiences. These learning platforms allows anyone to learn from anywhere in the world at their own learning pace.
Sujal Kulshrestha and Saumya Srivastava in their blog proposed an interactive learning environment – Learners’ Ed. They have developed various innovative features for students to focus on their academic activities, projects and mental health.
Learn more about these features and project on Medium and GitHub.
The proposed educational platform uses the following tools and frameworks:
1. Intel® Extension for Scikit-Learn* – Dynamically patches scikit-learn estimators while improving performance for machine learning algorithms.
2. Intel® Distribution of Modin* – Modin is a drop-in replacement for the extensively used Python library, Pandas. The Intel distribution adds optimizations to further accelerate processing on Intel® hardware.
3. Intel® oneAPI Deep Neural Network Library – An open source, cross-platform library that provides highly optimized implementations of deep learning algorithms.
4. Intel® oneAPI Math Kernel Library (oneMKL) – Fast and most-used math library optimized for Intel hardware. This library helps the users to reach high performance with math solutions like NumPy, SciPy, MATLAB*.
What’s Next?
We encourage you to learn more about and incorporate Intel’s AI/ML Framework optimizations and end-to-end portfolio of tools into your AI workflow. Also, visit AI & ML page covering Intel’s AI software development resources for preparing, building, deploying, and scaling your AI solutions.
About the Authors:
Sujal Kulshrestha and Saumya Srivastava are pursuing their bachelors in computer science with specialization in Artificial Intelligence and Machine Learning. They are passionate about data science and Artificial Intelligence.
