Hands-on Approach to Modern Quantum Algorithms by Unknown

Author:Unknown
Language: eng
Format: epub
Published: 2023-03-15T21:44:38+00:00

8.1.1 The ingredients for machine learning

In most machine learning setups, there are three basic ingredients:

First of all, we need some sort of computational model that is ”powerful enough” to tackle our problem. By this, we will often mean an algorithm that can be configured to solve the task at hand — at least to some level of accuracy.

Then, if we want our model to capture patterns, we need to feed it some data so that it can do that. We will thus need data, preferably lots of it. The nature of this data will depend on the approach that we take, but, in most cases, we will need to transform it into numerical form. Most models expect data to be represented as vectors of real numbers called attributes, so this is what we will usually assume that we have.

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