Machine learning - Deepstash

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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

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

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3 Categories of Machine Learning

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...

The 7 LIEs about learning

The 7 LIEs about learning

7 LIEs (Limited Idea Entertained) of learning:

  1. Intelligence is fixed. Truth - Intelligence is fluid because it's a combination of attitudes and actions.
  2. Only 10% of bra...

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