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Predictive Analytics

Notes:

Predictive analytics is a field of data analysis that uses statistical techniques, data mining, machine learning algorithms, and other tools to analyze current and historical data in order to make predictions about future events or trends.

Predictive analytics can be used in a wide range of applications, including business, finance, healthcare, marketing, and many others. For example, a company might use predictive analytics to forecast sales or customer behavior, or a healthcare organization might use it to predict the likelihood of a patient developing a particular condition.

There are many different statistical techniques and algorithms that can be used in predictive analytics, including linear regression, logistic regression, decision trees, and neural networks, among others. The choice of technique depends on the specific goals and needs of the organization and the nature of the data being analyzed.

Resources:

  • prediction.io .. open source machine learning server
  • zementis.com .. predictive analytics, data mining, decision management, pmml, cloud computing

Wikipedia:

  • Predictive analytics
  • Predictive Model Markup Language
  • R (programming language)

See also:

100 Best Decision Tree Videos | 100 Best R Project Videos | 100 Best RapidMiner Videos | Best BigML Videos | Best scikit-learn Videos | Best Weka Tutorial Videos | R Project & Dialog Systems


 

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