MIT's recent first annual Day of AI offered thousands of K-12 educators around the world a free series of hands-on activities intended to introduce students to artificial intelligence (AI) and help them explore how AI plays a part in their lives today. Such technologies offer exciting new ways for learners of all ages to tackle real-world challenges. The Day of AI exposed learners of all age to the key concepts, applications, and implications of these new computational methods. MIT offers a wide variety of online educational resources for learning about AI and machine learning. Here are five online artificial intelligence resources from MIT, for learners of all levels:
The market for recommendation engines is predicted to grow by USD $3.57B in the next four years, according to a recent report from Technavio. What’s the story behind these growth numbers? We talked with MIT Professor of Electrical Engineering & Computer Science and co-founder of machine learning startup Celect, Devavrat Shah, about the findings from this recent report and to discuss his predictions for recommendation systems technology.
Eric Bradford, a Teaching Assistant for MIT xPRO’s online data science course, Data Science and Big Data Analytics: Making Data-Driven Decisions, tells learners what to expect from this seven-week online course.
Applying data-driven decision-making is a must for professionals in every industry. But for an organization to fully benefit from big data analytics, teams must be given opportunities to learn the latest and most effective data science techniques.