What technology is fundamentally required for developing machine learning models? 🔊
To develop machine learning models, the fundamentally required technology is data processing tools and frameworks. This includes programming languages like Python and R, which provide libraries for machine learning, such as TensorFlow, Keras, and Scikit-learn. These tools help in data collection, cleaning, feature extraction, and model training. Additionally, necessary hardware such as GPUs or TPUs enable efficient computation for training complex models. Together, these technologies form the backbone of any successful machine learning initiative.
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