1. 8 ARIMA models | OTexts

    https://www.otexts.org/fpp/8

    ARIMA models provide another approach to time series forecasting. Exponential smoothing and ARIMA models are the two most widely-used approaches to time series ...

  2. Local regression - Wikipedia

    https://en.wikipedia.org/wiki/Local_regression

    LOESS (/l os /) and LOWESS (locally weighted scatterplot smoothing) are two strongly related non-parametric regression methods that combine multiple ...

  3. Moving Average chart in Excel: what is plotted?

    www.bzst.com/2011/04/moving-average-chart-in-excel-what-is.html

    The fact that Excel produces a trailing moving average in the Trendline menu is quite disturbing and misleading. Even more disturbing is the documentation, which ...

  4. Linear Regression for Machine Learning - Machine Learning ...

    https://machinelearningmastery.com/linear-regression-for-machine...

    Linear regression is perhaps one of the most well known and well understood algorithms in statistics and machine learning. In this post you will discover the linear ...

  5. Calculating Weighted Moving Average in SQL - SILOTA

    www.silota.com/docs/recipes/sql-weighted-moving-average.html

    SQL Recipes; Smoothing Data; Calculating Weighted Moving Average; Calculating Weighted Moving Average in SQL. A weighted moving average is a moving average where the ...

  6. Metastock Formulas | MetaStock in Australia | Charting …

    www.metastockaustralia.com/metastock-formulas

    Learn to Trade Like the Pros with MetaStock. Learn the secrets of MetaStock with Stuart McPhee's free newsletter and ebook on Implementing the Trading Process

  7. dlib C++ Library - Machine Learning

    dlib.net/ml.html

    Dlib contains a wide range of machine learning algorithms. All designed to be highly modular, quick to execute, and simple to use via a clean and ...

  8. Accepted Papers | ICML New York City

    icml.cc/2016/?page_id=1649

    There are various parametric models for analyzing pairwise comparison data, including the Bradley-Terry-Luce (BTL) and Thurstone models, but their reliance on strong ...

  9. 5 Multiple regression | OTexts

    https://www.otexts.org/fpp/5

    In multiple regression there is one variable to be forecast and several predictor variables. Throughout this chapter we will use two examples of multiple regression ...

  10. CS231n Convolutional Neural Networks for Visual …

    cs231n.github.io/linear-classify

    Course materials and notes for Stanford class CS231n: Convolutional Neural Networks for Visual Recognition.