The latest psychology and neuroscience discoveries.

Definition: What is machine learning?

Machine learning is a subfield of artificial intelligence (AI) that focuses on the development of algorithms that allow computers to learn from and make predictions or decisions based on data, without being explicitly programmed for a specific task. The “learning” in machine learning refers to the process by which these algorithms adjust and refine their internal models based on exposure to data.

Machine learning has been used in a variety of ways in psychology research. Some applications include:

  • Pattern Recognition: Detecting patterns in large and complex datasets, such as brain scans or genetic data, which can help identify markers or predictors of psychological conditions.
  • Natural Language Processing (NLP): Analyzing textual data to understand sentiment, emotion, or linguistic patterns. For instance, studying how language use on social media may correlate with mental health states.
  • Predictive Modeling: Using data to predict outcomes. For example, predicting the likelihood of a patient responding positively to a particular treatment based on their historical data.

Read the latest research related to machine learning below:

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