Wednesday, November 2, 2016

Machine learning

-Is a science of getting computers to learn, without being explicitly programmed
-Grew out of work in AI
-New capability of the computers




Supervised Learning ML


Supervised learning is a type of machine learning algorithm that uses a known dataset (called the training dataset) to make predictions

The training dataset includes input data and response values. From it, the supervised learning algorithm seeks to build a model that can make predictions of the response values for a new dataset. A test dataset is often used to validate the model. Using larger training datasets often yield models with higher predictive power that can generalize well for new datasets.

Supervised learning includes two categories of algorithms:

Tuesday, November 1, 2016

Intents, Entities, and Model Training LUIS


One of the key problems in human-computer interactions is the ability of the computer to understand what a person wants, and to find the pieces of information that are relevant to their intent. 




Ex : " Get the stock price for msft". In this case the intent is to get the stock price of the company and entity is msft.

Intent -> What we want to do.
StockPrice
IstheMarketUpOrDown
RepeatLastStock

Entity -> an object that exists and is distinguishable from other objects

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