Data Scientists and Machine Learning Engineers often face the dilemma of ��machine learning compared to deep learning�� classifier usage for their business problems. Depending upon the nature of the dataset, some data scientists prefer classical machine-learning approaches. Others apply the latest deep learning models, while still others pursue an ��ensemble�� model hoping to get the best of both��
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Predictive maintenance is used for early fault detection, diagnosis, and prediction when maintenance is needed in various industries including oil and gas, manufacturing, and transportation. Equipment is continuously monitored to measure things like sound, vibration, and temperature to alert and report potential issues. To accomplish this in computers, the first step is to determine the root cause��
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A leading global retailer has invested heavily in becoming one of the most competitive technology companies around. Accurate and timely demand forecasting for millions of item-by-store combinations is critical to serving their millions of weekly customers. Key to their success in forecasting is RAPIDS, an open-source suite of GPU-accelerated libraries. RAPIDS helps them tear through their��
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