This week’s top Machine Learning stories, including a TensorFlow update from Google, a new way to combat Type 2 Diabetes, and more!
Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It’s incredible, but it can also be overwhelming. That’s why we created This Week in Machine Learning. Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments. New posts will be published here first, and previous posts are archived on the Udacity blog.
Whether you’re currently enrolled in our Machine Learning Nanodegree program, already working in the field, or just pursuing a burgeoning interest in the subject, there will always be something here to inspire you!
Google releases an update for its popular TensorFlow system, allowing distributed computing across hundreds of machines at a time.
Researchers at Tel Aviv University use imaging and machine learning to predict literacy rates in Judah 2600 years ago, during the writing of the Bible’s Old Testament.
Seattle-based startup Spare5 combines crowdsourcing with machine learning to help deal with the challenges presented by unstructured, unlabeled data.
San Francisco-based startup Suggestic uses machine learning to combat Type 2 diabetes with personalized lifestyle interventions and recommendations.
Perspica brings machine learning to information technology incident management, helping IT managers monitor large, complex enterprise environments.
Google equips its popular Calendar tool with machine learning to help users find time in their schedules to complete their personal goals.