Adventures in Machine Learning

Time Series Models in Machine Learning - ML 087

11 snips
Sep 15, 2022
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1
Introduction
00:00 • 2min
2
Time Series Models and Preparing Data for Them
01:38 • 5min
3
How Do You Forecast How Many Sales People Do You Need?
06:50 • 6min
4
Building a Python Stats Model for Forecasting Salespeople
12:34 • 6min
5
The Moving Average Is Not a Moving Average
18:30 • 2min
6
Adding a Coefficient to a Seasonal Model
20:54 • 3min
7
Can Exogenous Variables Be Used for Forecasting?
23:53 • 4min
8
Using Weighted Averages in Backtesting
28:07 • 2min
9
Do Different Models Pick Up Different Components in a Time Series?
30:11 • 4min
10
LSTMs and Profit, Ben?
34:27 • 3min
11
How Does Profit Work?
37:05 • 3min
12
Is There a Better Implementation That Will Outperform Profit?
40:10 • 3min
13
Deep Learning for Time Series Modeling
43:32 • 3min
14
Deep Learning Approaches Time Series Modeling
46:10 • 3min
15
Why Deep Learning Isn't as Good as Other Models
48:58 • 2min
16
A Few Things You Need to Know About Deep Learning Models
50:35 • 3min