Posted by Ted Baltz, Senior Staff Software Engineer, Google Research, Accelerated Science Team Humans have a long history with yeast, ti... (more…)

We look more closely at three areas where machine learning in medicine is experiencing significant growth: dermatology diagnosis, population-level outbreak prediction, and improvements to racial disparities. (more…)

Examples Twitter Sentiment Analysis Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc. Penn Machine Learning Benchmarks A large, curated repository of benchmarks for evaluating su… (more…)

We present a brief history of the field of interpretable machine learning (IML), give an overview of state-of-the-art interpretation methods, and discuss challenges. Research in IML has boomed in recent years. As young as the field is, it has over 200 yea... (more…)

Machine learning as a service offers the distinct advantage of scalable machine resources as and when they are needed. The platforms listed below vary in sophistication. Some offer AI assistance, while others are simply platforms for coordinating work whe... (more…)