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  2. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Recently, artificial neural networks have been able to surpass many previous approaches in performance.

  3. Active learning (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Active_learning_(machine...

    e. Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source), to label new data points with the desired outputs. The human user must possess knowledge/expertise in the problem domain, including the ability to consult/research authoritative sources ...

  4. Outline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Outline_of_machine_learning

    The following outline is provided as an overview of and topical guide to machine learning: Machine learning – subfield of soft computing within computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. [1] In 1959, Arthur Samuel defined machine learning as a "field of ...

  5. Kids Are Learning, Even When They're Not Paying Attention - WebMD

    www.webmd.com/children/news/20230802/kids-are...

    Kids Are Learning, Even When They're Not Paying Attention. Written by Batya Swift Yasgur, MA. 4 min read. Aug. 2, 2023 – It’s a story as old as teaching. Young children staring off into space ...

  6. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Learning with humans. Model diagnostics. Mathematical foundations. Machine-learning venues. Related articles. v. t. e. A large language model ( LLM) is a computational model notable for its ability to achieve general-purpose language generation and other natural language processing tasks such as classification.

  7. Wearable Technology and the Future of Healthcare

    transform.healthline.com/future-of-health/the...

    Many wearable products rely on machine learning — a type of artificial intelligence in which scientists use data to teach computers to find patterns and predict outcomes. And the more data from the more people the machine learning takes into account, the better it gets at making accurate predictions and personalized health recommendations.

  8. Fitness and Exercise for Kids by Age Group - Healthline

    www.healthline.com/health/fitness-exercise-for-kids

    In the Physical Activity Guidelines for Americans, the U.S. Department of Health and Human Services (HHS) recommends children and adolescents ages 6 to 17 get at least one hour of moderate to high ...

  9. The 19 Best Toys for Autistic Kids in 2024 - Healthline

    www.healthline.com/.../toys-for-kids-with-autism

    Fat Brain Klickity. Polkrane Busy Board. Fat Brain Toys Dimpyl. Battat Numbers & Colors Gum Ball Machine. For autistic children, play provides important sensory input, which simply means ...

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