What Does the Future of Machine Learning Look Like?

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The global machine learning market is predicted to $117.19 billion by 2027. Quantum computing is one advancement that has the potential to boost machine learning capabilities. Quantum machine learning can improve data analysis and enable more profound insights. Such increased performance can help businesses get better results than via more traditional machine learning methods. AutoML will also facilitate the end-to-end model development process. AutoML enables a broader audience to use machine learning, which indicates its potential to change the technology landscape. Data scientists can use AutoML to their benefit, for instance, to quickly find the algorithms they can use or whether any algorithms have been missed.