From fbd2655dc33f41135223994bfb191c725c5ad40d Mon Sep 17 00:00:00 2001 From: Roger Labbe Date: Sat, 14 Jan 2017 09:05:00 -0800 Subject: [PATCH] Typo fix. --- 02-Discrete-Bayes.ipynb | 83 +++++++++++++++-------------------------- 1 file changed, 31 insertions(+), 52 deletions(-) diff --git a/02-Discrete-Bayes.ipynb b/02-Discrete-Bayes.ipynb index 62cfb26..e00170e 100644 --- a/02-Discrete-Bayes.ipynb +++ b/02-Discrete-Bayes.ipynb @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": { "collapsed": false }, @@ -289,7 +289,7 @@ "" ] }, - "execution_count": 3, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -327,14 +327,14 @@ "\n", "To keep the problem small enough to plot easily we will assume that there are only 10 positions in the hallway, which we will number 0 to 9, where 1 is to the right of 0. For reasons that will be clear later, we will also assume that the hallway is circular or rectangular. If you move right from position 9, you will be at position 0. \n", "\n", - "When I begin listening to the sensor I have no reason to believe that Simon is at any particular position in the hallway. From my perspective he is equally likely to be in any position. Their are 10 positions, so the probability that he is in any given position is 1/10. \n", + "When I begin listening to the sensor I have no reason to believe that Simon is at any particular position in the hallway. From my perspective he is equally likely to be in any position. There are 10 positions, so the probability that he is in any given position is 1/10. \n", "\n", "Let's represent our belief of his position in a NumPy array. I could use a Python list, but NumPy arrays offer functionality that we will be using soon." ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": { "collapsed": false }, @@ -372,7 +372,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": { "collapsed": false }, @@ -390,7 +390,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": { "collapsed": false }, @@ -1162,7 +1162,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -1201,7 +1201,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": { "collapsed": false }, @@ -1237,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": { "collapsed": false }, @@ -1278,7 +1278,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": { "collapsed": false, "scrolled": true @@ -2059,7 +2059,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -2191,16 +2191,6 @@ "probability of door = 0.1875\n", "probability of wall = 0.0625\n" ] - }, - { - "data": { - "image/png": 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fIyIiUFNTg3fffddpizIioq5gnhFRT7K5KPP09IRKpUJdXZ1Ze11dHby9vTvd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\nlUqFuro6s/a6ujp4e3tb3cb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- "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "def perfect_predict(belief, move):\n", " \"\"\" move the position by `move` spaces, where positive is \n", @@ -3148,7 +3127,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -3237,7 +3216,7 @@ "data": { "image/png": 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7vM8Up13ey/Ms5yprlE6Avg5Y2nreS0QMpsutklaQHVpZO7K/mVmNOO8VYPsL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\nuP3HZEdBrA/5ELBVIiIeIks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