Thank you for expressing interest in the Master of Science in Machine Learning and Data Science program (MLDS). You will be hearing from us shortly with your requested information. In the meantime, ...

As organizations create more diverse and more user-focused data products and services, there is a growing need for machine learning, which can be used to develop personalizations, recommendations ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

Machine learning is a complex discipline but implementing ... iOS and Android devices, CPUs or GPUs. If you use Google’s own cloud, you can run TensorFlow on Google’s custom TensorFlow ...

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

At Cloud Next 2019, Google announced the launch of AI Platform, a comprehensive machine learning service for developers and data scientists. Google has many investments in the space of machine ...

Machine learning models are generally evaluated based on predictive accuracy metrics such as precision, recall, and F1 score. With these metrics, you can measure just how well the model’s ...

You can find additional information through browsing the Machine Learning and Data Science website.