Failed-ML
Examine real-world examples of machine learning failures in sectors such as recruitment and healthcare. Understand the challenges and limitations in AI development, including biases and inaccuracies in technologies like natural language processing and computer vision. Gain insights to avoid similar pitfalls in future AI projects.
