The Fundamentals Of How To Make A Machine Learn

Machine learning is not a black-box

The machine learning path from raw data to intelligent predictions is anything but accidental. A machine learning model is not a single algorithm in a black box. It is a tightly integrated system where each component plays a role in driving the model to better performance.

To become an expert in machine learning, or even quantum machine learning, you must move beyond a superficial reverence for models that “learn from data”. You must understand how different components work together to create systems that can not only recognize patterns in past examples, but also apply that learning to make accurate predictions in the real world.

Let’s have a detailed look on how the machine learning components work together. Understanding this flow is essential for developing effective, reliable and scalable models, and to get started with quantum machine learning.

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