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* **Supervised Learning:** This is like having a teacher. You give the algorithm labeled data – meaning the data already has the correct answers. For example, you might feed it pictures of cats and dogs, along with labels identifying each image. The algorithm then learns to associate the features of each image with its label. This is used for tasks like image recognition, spam detection, and predicting housing prices.
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Hey guys! Elon Musk has some *big* news for all of us *X* (formerly Twitter) users. It sounds like the platform's algorithm is about to get a whole lot more sensitive to negativity. If you are spreading gloom and doom, you might find your tweets are getting a lot less visibility. Let's dive into what this could mean for the future of *X*, and how we can all adapt to the upcoming changes.
