Algorithms: The Input - Deepstash

Understanding the importance of decision-making

Identifying biases that affect decision-making

Analyzing the potential outcomes of a decision

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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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### 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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### 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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### 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

### 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...

### The bottom line?

Bottom line?

You already know what you know. What you need to know is what other people know.

So describe a problem, ask for input, and then stay quiet and listen.

You never know what you might learn.

### Be Comfortable With Good Enough

What prevents people from taking a risk is thinking that you can't start until everything is perfect.

We need the courage to make decisions with imperfect data and move forward as information becomes available.

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