Several key trends are shaping the future of Data Science and Machine Learning (ML). These include the rise of automated machine learning (AutoML), enabling non-experts to build models easily; the growing importance of explainable AI (XAI), which improves transparency and trust in AI systems; the integration of edge computing, allowing data processing closer to where it's generated.

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