IBM Developer Advocacy

Machine learning is everywhere – influencing nearly everything we do. You’ve likely heard that Uber is world’s largest taxi company, yet owns no vehicles. Facebook, the world’s most popular media owner, creates no content. Alibaba, the most valuable retailer, has no inventory. And Airbnb, the world’s largest accommodation provider, owns no real estate. But what you haven’t explicitly heard is that all of these companies are machine learning companies at their very core. Companies like Netflix use machine learning to recommend movies for us to watch. Navigation apps like Waze use machine learning to help optimize our driving experience.

Machine learning has come a long way from its early roots in classical math and statistics. Today’s machine learning uses analytic models and algorithms that learn from data, finding hidden insights without being explicitly programmed where to look. Using algorithms that learn by looking at thousands or millions of data samples, computers can make predictions based on these learned experiences to solve the same problem in new situations. And they’re doing it with a level of accuracy that is beginning to mimic human intelligence.

Machine learning in our daily lives

Explore how computers are learning and making predictions on data to change the way we think and live.

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