A Challenge is a goal-oriented learning journey that teaches in-demand machine learning skills through hands-on practice in an interactive and engaging way. You work with state-of-the-art methods, real-world data sets, and apply your skills to industry problems. Challenges will support your career growth by building critical data science competencies.
Challenges help you build a data science career through
- Different machine learning problems and industry use cases
- Wide range of tasks such as object detection or text classification
- Challenges range from beginner to advanced difficulty levels
- Flexible (self-paced) and scheduled start dates (cohort learning)
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