Analyzing the Shortcomings in Machine Learning Education

The article likely discusses discrepancies between current machine learning education and industry needs. It should provide specific examples of these gaps and potential solutions to bridge them.

• •Identifies areas where current machine learning curricula are insufficient.
• •Highlights the skills and knowledge gaps prevalent among graduates.
• •Proposes strategies to improve machine learning education to better prepare students.