AI News, The Unofficial Google Data Science Blog

The Unofficial Google Data Science Blog

This could happen the way you suggest (seasonal), or it could be that time series with certain characteristics are better forecast by certain types of models, or it could be that different models do a better job at different points in the forecast horizon, or something else.

However, for our forecasting challenge, given the number and diversity of time series we faced, our risk-reward preferences, and our beliefs about the way our data arose, we preferred the approach described in the blog post.

Mod-02 Lec-02 Forecasting -- Time series models -- Simple Exponential smoothing

Operations and Supply Chain Management by Prof. G. Srinivasan , Department of Management Studies, IIT Madras. For more details on NPTEL visit ...

lecture 11 Sales Forecasting

Sales Forecasting Need of Forecasting Forecasting Horizons Key Issues in Forecasting.

12. Time Series Analysis III

MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: Instructor: Peter ..

Introducing ML.NET : Build 2018

ML.NET is aimed at providing a first class experience for Machine Learning in .NET. Using ML.NET, .NET developers can develop and infuse custom AI into ...

Choice Modeling, How To Use and Analyze The Results

Choice modeling can be used to measure the importance of factors that go into consumer decision-making. Choice modeling simulates their shopping process, ...

11. Time Series Analysis II

MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 View the complete course: Instructor: Peter ..

Ses 6: Fixed-Income Securities III

MIT 15.401 Finance Theory I, Fall 2008 View the complete course: Instructor: Andrew Lo License: Creative Commons BY-NC-SA ..

6. Monte Carlo Simulation

MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: Instructor: John Guttag ..

Lecture 13 - Validation

Validation - Taking a peek out of sample. Model selection and data contamination. Cross validation. Lecture 13 of 18 of Caltech's Machine Learning Course - CS ...

Recurrent Neural Network - The Math of Intelligence (Week 5)

Recurrent neural networks let us learn from sequential data (time series, music, audio, video frames, etc ). We're going to build one from scratch in numpy ...