Machine learning - Deepstash

Understanding the importance of decision-making

Identifying biases that affect decision-making

Analyzing the potential outcomes of a decision

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# Machine learning

It can sometimes be too complicated to spell out a decision-making process. Machine learning tries to "learn" based on a set of past decision-making examples.

Machine learning is used for things like recommendations, predictions, and looking up information.

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### Algorithms: Output

The last step of an algorithm is output - expressing the answer.

Output to a computer is usually more data. It allows computers to string algorithms together in complex ways to produce more algorithms. Output can also present information, such as putting words on a screen.

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### Algorithms: Transformation

Computation is the heart of an algorithm and involves arithmetic, decision-making, and repetition.

To apply this to getting dressed, you make decisions by doing some math on input quantities. Wearing a jacket might depend on the temperature. To a computer, part of getting dressed algor...

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### Algorithms: The Input

To a computer, input is the information needed to make decisions.

For example, if you get dressed, you will need information such as what clothes are available to you, then you might consider the temperature, the season, and personal preferences.

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### An algorithm is a set of instructions

The instructions tell a computer how to transform a set of facts into useful information.

The facts are data. The useful information is knowledge for people, instructions for machines or input for another algorithm. Typical examples are sorting sets of num...

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Never stop learning new things, no matter how old you are.

Related collections

## More like this

### 3 Categories of Machine Learning

1. Supervised learning: It has a set of labelled data to train the model on. In a way, it means supervising a machine by providing a ton of information about a particular case and giving it the case outcome.
2. Unsupervised learning

### The Ventromedial Prefrontal Cortex

This is a key part of our brains. Why? It’s where we store all of the information on past rewards, along with the pain of mistakes, or things we wish we hadn’t done so that we would have avoided experiencing something negative.

Famous neuroscientist Antonio Damasio figured out how i...

### Big data

• Big data is a combination of structured and semi-structured data collected by organizations that can be mined for information, machine learning, and predictive modeling.
• Big data draws broad patterns from massive amounts of data from large end-user or customer samples
• Big dat...

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