Collaborating Authors

Machine Learning Engineer - The Machine Learning Conference


Overjet is an early-stage VC-backed startup building the future of data-driven dentistry. We are using AI to transform the $130B dental care market and improve patient outcomes. We are seeking an entrepreneurially-minded a highly skilled developer who is comfortable with backend software development including deploying machine learning models, loves challenges and is passionate about impacting lives. Please email your resume to Develop machine learning pipelines Deploy machine learning models for inference Implement and maintain metrics for tracking ML models performance Design and develop microservices and APIs related to data ingestion, machine learning and product quality Ensuring responsiveness of applications.

Deep Learning in health industry


In the Covid-19 pandemic, the situation changed dramatically. During the crisis, we saw rapid digital transformation and the adoption of disruptive technologies across all industries. Healthcare organizations of all sizes, types, and specialists are increasingly interested in how artificial intelligence can support better patient care while reducing costs and improving efficiency.Deep learning is a good place to start. This branch of artificial intelligence has made rapid changes in health care, providing the ability to analyze data faster than ever before. Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans: example,Deep learning is a key technology behind driver less vehicles, enabling them to detect a stop sign, or to distinguish a pedestrian from a lamppost.

Unintended Consequences of Machine Learning in Medicine


Over the past decade, machine learning techniques have made substantial advances in many domains. In health care, global interest in the potential of machine learning has increased; for example, a deep learning algorithm has shown high accuracy in detecting diabetic retinopathy.1 There have been suggestions that machine learning will drive changes in health care within a few years, specifically in medical disciplines that require more accurate prognostic models (eg, oncology) and those based on pattern recognition (eg, radiology and pathology).

Microsoft Machine Learning Competition – Improve Women Health


Enter Microsoft Women Health Risk Assessment competition, develop machine learning solutions to accurately categorize young women for their particular health risk. Enter now - submissions due Sep 30. Microsoft is awarding up to 5,000 in cash prizes for the Women's Health Risk Assessment competition. They are calling for optimized machine learning solutions that allow a young woman (age 15-30 years old) to be accurately categorized for their particular health risk. Based on the category a patient falls within, healthcare providers can offer appropriate education and training programs to help reduce the patient's reproductive health risks.

Tips for Learning to Type With One Hand


Seven years ago, my left arm was permanently paralyzed from the elbow to the fingertips following a Vespa accident. Suddenly, relying on only one arm meant relearning many basic tasks, from buttoning my pants to tying my shoes. Since I was in college, typing became a priority on my list of what I needed to adapt. Professors were impatient when I needed more time to complete assignments that required a lot of time on a keyboard (most did). They wanted their work, and they wanted it now.