How much of machine learning is computer ... the most part dominated statistics when it comes to making good predictions. Statisticians are concerned with abstract probability models and don ...

statistics, and machine learning answer different sorts of questions. ML excels at finding patterns in data and using these patterns for classification and prediction. I discovered this myself a ...

Probability theory provides ... However, as I discuss, the scope of machine-learning tasks is even broader than these pattern classification or mapping tasks, and can include optimization and ...

For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

From chatbots, personalised recommendations on social media, traffic predictions and virtual personal assistants including Siri and Alexa, advances in machine learning are becoming ... at least one ...

When using AI, such tasks are based on "classification technology" in machine learning -- having the ... which mathematically corresponds to the probability whether the data belongs to a positive ...

Together, Rigetti and ADIA Lab will collaborate to design, build, execute, and optimize a quantum computing solution intended to address the probability distribution classification problem ...