Python For Data Analysis: The Ultimate and Definitive Manual to Learn Data Science and Coding With Python. Master The basics of Machine Learning, to Clean Code and Improve Artificial Intelligence by Matt Algore

Author:Matt Algore [Algore, Matt]
Language: eng
Format: azw3, epub
Published: 2021-01-13T00:00:00+00:00

Chapter 7. Machine Learning and Data Analysis

What Machine Learning Is

The first thing that we need to take a look at here is the basics of machine learning. This will be one of the techniques that we can use with data analytics that will help teach a computer how to learn and react on their own without the programmer’s interaction. Many of the actions that we will train the system to do will be similar to actions that already come naturally to humans, such as learning from experience.

The algorithms that come with machine learning will be able to use computational methods to learn information right from the data without having to rely on an equation that is predetermined as its model. The algorithms will adaptively improve some of their performance as the number of samples we will use for learning will increase.

There are a lot of instances where we can use machine learning. With the rise in big data that is available for all industries to use, We will find that machine learning is going to become one of the great techniques that are used to solve a ton of problems in many areas, including the following:

Computational finance: This will include algorithmic trading, credit scoring, and fraud detection.

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