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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. 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 ...

7. Deep learning - Wikipedia

   en.wikipedia.org/wiki/Deep_learning

   Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised. [2]