“Amazon has a long legacy in machine learning. It powers the product recommendations customers receive on Amazon.com, it is what makes Amazon Echo able to respond to your voice, and it is what allows us to unload an entire truck full of products and make them available for purchase in as little as 30 minutes,” said Jeff Bilger, Senior Manager, Amazon Machine Learning. “Early on, we recognized that the potential of machine learning could only be realized if we made it accessible to every developer across Amazon. Amazon Machine Learning is the result of everything we’ve learned in the process of enabling thousands of Amazon developers to quickly build models, experiment, and then scale to power planet-scale predictive applications.”

Because high-quality data is critical to building accurate models, Amazon Machine Learning allows developers to visualize the statistical properties of the datasets that will be used to “train” the model to find patterns in the data. This saves time by allowing developers to understand data distributions and identify missing or invalid values prior to model training. Amazon Machine Learning then automatically transforms the training data and optimizes the machine learning algorithms so that developers don’t need a deep understanding of machine learning algorithms or tuning parameters to create the best possible model.

Using the Amazon Machine Learning technology, a single Amazon developer was able in 20 minutes to solve a problem that had previously taken two developers 45 days to solve – none of these developers had prior experience in machine learning, and both models achieved the same accuracy of 92 percent. Once a model is created, developers can then easily generate batch or real time predictions directly from Amazon Machine Learning without having to develop and manage their own infrastructure to do so. 

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