Unsupervised Learning

Unsupervised learning involves algorithms that analyze data without labeled responses. Common algorithms include clustering and dimensionality reduction. Applications range from customer segmentation to anomaly detection. Challenges include evaluating results without labels and interpreting complex patterns, but it remains crucial for uncovering insights from unstructured data.

Advancements in Health Tech: Revolutionizing Healthcare Deliver

Introduction: Healthcare technology has undergone remarkable advancements in recent years, reshaping the landscape of patient care, diagnosis, and treatment. From telemedicine to personalized medicine, these innovations are revolutionizing healthcare delivery,…