Machine Learning Intern: Data Labeling for Topic Detection
ImageClassification
I implemented neural network algorithms to detect topics in educational software as part of a machine learning internship. I conducted research to improve semantic data representation across images, video, text, and audio to enhance model accuracy. I also trained and optimized predictive models, evaluating various algorithmic approaches for improved information extraction accuracy.
• Used TensorFlow, Python, and NLP libraries for model development.
• Enhanced user engagement by improving annotation accuracy.
• Focused on classifying educational content for topic detection.
• Contributed to increased information extraction accuracy by 20%.
I implemented neural network algorithms to detect topics in educational software as part of a machine learning internship. I conducted research to improve semantic data representation across images, video, text, and audio to enhance model accuracy. I also trained and optimized predictive models, evaluating various algorithmic approaches for improved information extraction accuracy. • Used TensorFlow, Python, and NLP libraries for model development. • Enhanced user engagement by improving annotation accuracy. • Focused on classifying educational content for topic detection. • Contributed to increased information extraction accuracy by 20%.
2017 - 2018