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	<id>https://machinelearning.subwiki.org/w/index.php?action=history&amp;feed=atom&amp;title=User%3AIssaRice%2FMath_resources_I_like</id>
	<title>User:IssaRice/Math resources I like - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://machinelearning.subwiki.org/w/index.php?action=history&amp;feed=atom&amp;title=User%3AIssaRice%2FMath_resources_I_like"/>
	<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;action=history"/>
	<updated>2026-05-22T17:38:34Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2971&amp;oldid=prev</id>
		<title>IssaRice at 22:44, 23 March 2020</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2971&amp;oldid=prev"/>
		<updated>2020-03-23T22:44:46Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 22:44, 23 March 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l1&quot;&gt;Line 1:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 1:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Terence Tao&amp;#039;s notes and books&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Terence Tao&amp;#039;s notes and books&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Tim Gowers&#039;s blog (especially intro logic)&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Tim Gowers&#039;s blog &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;and website &lt;/ins&gt;(especially intro logic)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Evan Chen&amp;#039;s infinite napkin&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Evan Chen&amp;#039;s infinite napkin&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* mathematicalmonk&amp;#039;s youtube videos&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* mathematicalmonk&amp;#039;s youtube videos&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>IssaRice</name></author>
	</entry>
	<entry>
		<id>https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2970&amp;oldid=prev</id>
		<title>IssaRice at 22:44, 23 March 2020</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2970&amp;oldid=prev"/>
		<updated>2020-03-23T22:44:21Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 22:44, 23 March 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l5&quot;&gt;Line 5:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 5:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Vipul&amp;#039;s notes&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Vipul&amp;#039;s notes&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics; the accompanying stats/probability book (by blitzstein and hwang) is the best one i&#039;ve found so far (like, the only one that actually explains where the various distributions come from).&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics; the accompanying stats/probability book (by blitzstein and hwang) is the best one i&#039;ve found so far (like, the only one that actually explains where the various distributions come &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;from, although even this book doesn&#039;t seem to explain where the normal distribution comes &lt;/ins&gt;from).&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &amp;#039;&amp;#039;is&amp;#039;&amp;#039; still a math book (i.e. horrible compared to learning media that will be available in the future), but it&amp;#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though. what kind of madman is rich sutton (or andrew barto)? ALL other RL resources at this level are obsolete (besides to just focus your attention on the subset of the book you need, and for exercise solutions to check your work).&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &amp;#039;&amp;#039;is&amp;#039;&amp;#039; still a math book (i.e. horrible compared to learning media that will be available in the future), but it&amp;#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though. what kind of madman is rich sutton (or andrew barto)? ALL other RL resources at this level are obsolete (besides to just focus your attention on the subset of the book you need, and for exercise solutions to check your work).&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>IssaRice</name></author>
	</entry>
	<entry>
		<id>https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2969&amp;oldid=prev</id>
		<title>IssaRice at 22:43, 23 March 2020</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2969&amp;oldid=prev"/>
		<updated>2020-03-23T22:43:41Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 22:43, 23 March 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l5&quot;&gt;Line 5:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 5:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Vipul&amp;#039;s notes&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Vipul&amp;#039;s notes&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;; the accompanying stats/probability book (by blitzstein and hwang) is the best one i&#039;ve found so far (like, the only one that actually explains where the various distributions come from).&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &amp;#039;&amp;#039;is&amp;#039;&amp;#039; still a math book (i.e. horrible compared to learning media that will be available in the future), but it&amp;#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though. what kind of madman is rich sutton (or andrew barto)? ALL other RL resources at this level are obsolete (besides to just focus your attention on the subset of the book you need, and for exercise solutions to check your work).&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &amp;#039;&amp;#039;is&amp;#039;&amp;#039; still a math book (i.e. horrible compared to learning media that will be available in the future), but it&amp;#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though. what kind of madman is rich sutton (or andrew barto)? ALL other RL resources at this level are obsolete (besides to just focus your attention on the subset of the book you need, and for exercise solutions to check your work).&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>IssaRice</name></author>
	</entry>
	<entry>
		<id>https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2968&amp;oldid=prev</id>
		<title>IssaRice at 22:41, 23 March 2020</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2968&amp;oldid=prev"/>
		<updated>2020-03-23T22:41:51Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 22:41, 23 March 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l6&quot;&gt;Line 6:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 6:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &#039;&#039;is&#039;&#039; still a math book (i.e. horrible compared to learning media that will be available in the future), but it&#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though. what kind of madman is rich sutton (or andrew barto)? ALL other RL resources at this level are obsolete (besides to just focus your attention on the subset of the book you need).&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &#039;&#039;is&#039;&#039; still a math book (i.e. horrible compared to learning media that will be available in the future), but it&#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though. what kind of madman is rich sutton (or andrew barto)? ALL other RL resources at this level are obsolete (besides to just focus your attention on the subset of the book you need&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;, and for exercise solutions to check your work&lt;/ins&gt;).&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>IssaRice</name></author>
	</entry>
	<entry>
		<id>https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2967&amp;oldid=prev</id>
		<title>IssaRice at 22:39, 23 March 2020</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2967&amp;oldid=prev"/>
		<updated>2020-03-23T22:39:05Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 22:39, 23 March 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l6&quot;&gt;Line 6:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 6:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &#039;&#039;is&#039;&#039; still a math book (i.e. horrible compared to learning media that will be available in the future), but it&#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though. what kind of madman is rich sutton (or andrew barto)?&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &#039;&#039;is&#039;&#039; still a math book (i.e. horrible compared to learning media that will be available in the future), but it&#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though. what kind of madman is rich sutton (or andrew barto)? &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;ALL other RL resources at this level are obsolete (besides to just focus your attention on the subset of the book you need).&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>IssaRice</name></author>
	</entry>
	<entry>
		<id>https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2966&amp;oldid=prev</id>
		<title>IssaRice at 22:37, 23 March 2020</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2966&amp;oldid=prev"/>
		<updated>2020-03-23T22:37:43Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 22:37, 23 March 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l6&quot;&gt;Line 6:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 6:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &#039;&#039;is&#039;&#039; still a math book, but it&#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though. what kind of madman is rich sutton (or andrew barto)?&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &#039;&#039;is&#039;&#039; still a math book &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;(i.e. horrible compared to learning media that will be available in the future)&lt;/ins&gt;, but it&#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though. what kind of madman is rich sutton (or andrew barto)?&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>IssaRice</name></author>
	</entry>
	<entry>
		<id>https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2965&amp;oldid=prev</id>
		<title>IssaRice at 22:37, 23 March 2020</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2965&amp;oldid=prev"/>
		<updated>2020-03-23T22:37:09Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 22:37, 23 March 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l6&quot;&gt;Line 6:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 6:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &#039;&#039;is&#039;&#039; still a math book, but it&#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though.&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Sutton and Barto (2nd edition) -- this &#039;&#039;is&#039;&#039; still a math book, but it&#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though. &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;what kind of madman is rich sutton (or andrew barto)?&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>IssaRice</name></author>
	</entry>
	<entry>
		<id>https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2964&amp;oldid=prev</id>
		<title>IssaRice at 22:36, 23 March 2020</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2964&amp;oldid=prev"/>
		<updated>2020-03-23T22:36:48Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 22:36, 23 March 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l6&quot;&gt;Line 6:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 6:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-deleted&quot;&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;* Sutton and Barto (2nd edition) -- this &#039;&#039;is&#039;&#039; still a math book, but it&#039;s unbelievably good and polished and clear and and and... This book seems to have just about the right level of rigor+intution+repetitiveness. I really wish the book emphasized more a few things though (like, if you can rattle off the bellman equations using backup diagrams, everything in chapters 3 and 4 become trivial). you do need to know your stats/probability/analysis pretty comfortably though.&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>IssaRice</name></author>
	</entry>
	<entry>
		<id>https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2850&amp;oldid=prev</id>
		<title>IssaRice at 05:01, 7 February 2020</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2850&amp;oldid=prev"/>
		<updated>2020-02-07T05:01:16Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 05:01, 7 February 2020&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l5&quot;&gt;Line 5:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 5:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Vipul&amp;#039;s notes&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* Vipul&amp;#039;s notes&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-side-deleted&quot;&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;* https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo -- pretty good lectures on statistics&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>IssaRice</name></author>
	</entry>
	<entry>
		<id>https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2707&amp;oldid=prev</id>
		<title>IssaRice: Created page with &quot;* Terence Tao&#039;s notes and books * Tim Gowers&#039;s blog (especially intro logic) * Evan Chen&#039;s infinite napkin * mathematicalmonk&#039;s youtube videos * Vipul&#039;s notes * abstractmath.o...&quot;</title>
		<link rel="alternate" type="text/html" href="https://machinelearning.subwiki.org/w/index.php?title=User:IssaRice/Math_resources_I_like&amp;diff=2707&amp;oldid=prev"/>
		<updated>2020-01-15T08:00:53Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;* Terence Tao&amp;#039;s notes and books * Tim Gowers&amp;#039;s blog (especially intro logic) * Evan Chen&amp;#039;s infinite napkin * mathematicalmonk&amp;#039;s youtube videos * Vipul&amp;#039;s notes * abstractmath.o...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;* Terence Tao&amp;#039;s notes and books&lt;br /&gt;
* Tim Gowers&amp;#039;s blog (especially intro logic)&lt;br /&gt;
* Evan Chen&amp;#039;s infinite napkin&lt;br /&gt;
* mathematicalmonk&amp;#039;s youtube videos&lt;br /&gt;
* Vipul&amp;#039;s notes&lt;br /&gt;
* abstractmath.org and Charles Wells&amp;#039;s handbook of math jargon (or whatever it&amp;#039;s called)&lt;/div&gt;</summary>
		<author><name>IssaRice</name></author>
	</entry>
</feed>