Machine Learning with Small Data Part 2
$49
ENROLL NOWCourse Overview
What You'll Learn
- By completing this course, you'll master building powerful machine learning systems that excel with limited data.
- You'll gain expertise in multi-task learning, meta-learning, and advanced data augmentation—from physics-based simulations to generative approaches—enabling models to adapt quickly and perform beyond their dataset size.
- This course is primarily aimed at graduate students in computer science, engineering, or data science, along with industry professionals and researchers working with limited datasets who need to develop high-performance machine learning systems despite data constraints.
By completing this course, you'll master building powerful machine learning systems that excel with limited data. You'll gain expertise in multi-task learning, meta-learning, and advanced data augmentation—from physics-based simulations to generative approaches—enabling models to adapt quickly and perform beyond their dataset size. What makes this course unique is its focus on cutting-edge 3D and generative technologies: Neural Radiance Fields (NeRF), diffusion models, and 3D Gaussian Splatting. Unlike traditional ML courses that assume abundant data, this program tackles real-world constraints while unlocking advanced capabilities in science, engineering, and creative industries. This course is primarily aimed at graduate students in computer science, engineering, or data science, along with industry professionals and researchers working with limited datasets who need to develop high-performance machine learning systems despite data constraints.
Course FAQs
Is this an accredited online course?
Accreditation for 'Machine Learning with Small Data Part 2' is determined by the provider, Northeastern University. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Machine Learning with Small Data Part 2' on the Northeastern University online class platform, where you can complete your registration.
