From c5df1074270deea27f9a5424d6ff8be39dcfba9f Mon Sep 17 00:00:00 2001 From: mschickler Date: Mon, 11 Dec 2023 10:03:35 -0500 Subject: [PATCH] Change "forth" to "fourth" --- 02-Discrete-Bayes.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/02-Discrete-Bayes.ipynb b/02-Discrete-Bayes.ipynb index b107d322..3e613a5e 100644 --- a/02-Discrete-Bayes.ipynb +++ b/02-Discrete-Bayes.ipynb @@ -1412,7 +1412,7 @@ "\n", "A third problem is that the filter is multimodal. In the last example we ended up with strong beliefs that the dog was in position 4 or 9. This is not always a problem. Particle filters, which we will study later, are multimodal and are often used because of this property. But imagine if the GPS in your car reported to you that it is 40% sure that you are on D street, and 30% sure you are on Willow Avenue. \n", "\n", - "A forth problem is that it requires a measurement of the change in state. We need a motion sensor to detect how much the dog moves. There are ways to work around this problem, but it would complicate the exposition of this chapter, so, given the aforementioned problems, I will not discuss it further.\n", + "A fourth problem is that it requires a measurement of the change in state. We need a motion sensor to detect how much the dog moves. There are ways to work around this problem, but it would complicate the exposition of this chapter, so, given the aforementioned problems, I will not discuss it further.\n", "\n", "With that said, if I had a small problem that this technique could handle I would choose to use it; it is trivial to implement, debug, and understand, all virtues." ]