Numeric Prediction (Regression)

Numeric prediction, also known as Regression, predicts a numeric output value using training data. It is effectively used to predict a continuous numeric value, like price or cost. In general, regression tasks are used to get information about certain aspects of a decision that will then inform a choice of action. An example of this is predicting the cost of a house, to then decide if it is worth buying. Examples: Regression is used in the creation of trend lines, which uses past data to predict future performance or “trends.” Assessing the risk associated with investment vehicles. (predict costs of actions) … Continue reading Numeric Prediction (Regression)

Forecasting

Forecasting is the process of using historical data to predict the future. It is commonly used to predict future sales or demand so that business can plan ahead of future events. Forecasting works by predicting numerical quantities for the future using observations from the past, and therefore does not require any knowledge about the future. The immediate applications of forecasting include Sales Forecasting, Manufacturing Forecasting, and Customer Retention, to name a few. While forecasting primarily uses historical data to make predictions, that same technology is also used in our other tasks. If you happen to have prior knowledge about future transactions, … Continue reading Forecasting

Data Formats

Data Overview Data is an extremely important part of the AI training and modeling process. The quality and format of the data is directly linked to the quality and function of the model created. This paper will cover: The syntax of data tables Which data types are supported Missing or non-existent data Rows vs Columns Most datasets are in the form of a data table, containing both rows and columns. This table is then represented as a CVS file to the AI. In CVS each row is represented by a line of text and each column is represented by a comma. … Continue reading Data Formats

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OneClick.ai Walkthrough

Overview This overview will cover key concepts to consider when using OneClick.ai and how it relates to a real world business problem. The task used throughout this overview is the “Dress Recommendation” dataset from the UCI Archive and it has been slightly modified to fit the format of this tutorial: A dress store is trying to determine what dresses to keep stocked in the future in order to make the best use of their limited space and maximize sales. They have already gathered data on dresses sold in the past and determined which dresses were worth stocking based on their sales and other qualities. Now they have a new selection of … Continue reading OneClick.ai Walkthrough