Machine Learning
Machine Learning is a subfield of Artificial Intelligence that focuses on the development of algorithms and statistical models that enable computer systems to learn from and make predictions or decisions based on input data, without being explicitly programmed. The goal of Machine Learning is to create intelligent systems that can automatically improve their performance over time, by learning from new data and experiences. Machine Learning algorithms can be broadly categorized into three types: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a model on labeled data, where the correct output is known, to make predictions on new, unseen data. Unsupervised learning involves finding patterns and relationships in unlabeled data, without any prior knowledge of the correct output. Reinforcement learning involves training a model to make decisions based on feedback from the environment, with the goal of maximizing a reward signal.
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Top News
The wait is finally over. Mira Murati announces new startup, Thinking Machines L...
The former OpenAI CTO launched Thinking Machines Lab, which will focus on human-AI collaboration and making AI more accessible....
News Source: Business Insider on 2025-02-18
Musk's xAI releases Grok-3, touting a new rival to OpenAI and DeepSeek...
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News Source: NBC News on 2025-02-18
Judge orders leaders of cult-like ‘Zizian’ group to be held without bail...
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News Source: Al Jazeera English on 2025-02-18
Can Elon Musk's Grok 3 compete with ChatGPT, DeepSeek?...
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News Source: CBS News on 2025-02-18
Why AI resorts to stereotypes when it is role-playing humans...
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News Source: New Scientist on 2025-02-18