Comments for Machine Learning for Mathies
http://www.nullplug.org/ML-Blog
Learning to learnThu, 19 Oct 2017 07:12:45 +0000hourly1https://wordpress.org/?v=4.9.8Comment on Linear Regression by Machine Learning Overview – Machine Learning for Mathies
http://www.nullplug.org/ML-Blog/2017/10/04/linear-regression/#comment-21
Thu, 19 Oct 2017 07:12:45 +0000http://www.nullplug.org/ML-Blog/?p=214#comment-21[…] of $C(d,f(d))$ as maximizing the performance function $P(d,t)=frac{1}{1+C(d,t)}$. The method of Linear Regressionwill define a machine learning algorithm $f_-colon 2^Etimes Dto Bbb […]
]]>Comment on Tensor Calculus by Linear Regression – Machine Learning for Mathies
http://www.nullplug.org/ML-Blog/2017/10/18/tensor-calculus/#comment-20
Wed, 18 Oct 2017 14:00:08 +0000http://www.nullplug.org/ML-Blog/?p=405#comment-20[…] = ||hat{y}-y||^2=(Abeta -y)^T(Abeta -y).$$ Differentiating with respect to $beta$ (see Tensor Calculus) yields begin{align} frac{dSSE(beta)}{dbeta} & = 2(Abeta -y)^TA label{eq:der}. […]
]]>Comment on Statistical Inference by Computer Science Background – Machine Learning for Mathies
http://www.nullplug.org/ML-Blog/2017/10/05/statistical-inference-2/#comment-18
Wed, 11 Oct 2017 11:10:05 +0000http://www.nullplug.org/ML-Blog/?p=286#comment-18[…] probability theory and, especially, statistical inference, it is very common to take iterated products of probabilities. Since many of these probabilities […]
]]>Comment on Additional Sources by Problem Set 1 – Machine Learning for Mathies
http://www.nullplug.org/ML-Blog/2017/09/27/additional-sources/#comment-17
Wed, 11 Oct 2017 08:49:55 +0000http://www.nullplug.org/ML-Blog/?p=118#comment-17[…] at some of the additional source material for the […]
]]>Comment on Parameter Estimation by Linear Regression – Machine Learning for Mathies
http://www.nullplug.org/ML-Blog/2017/10/10/parameter-estimation/#comment-16
Tue, 10 Oct 2017 10:21:20 +0000http://www.nullplug.org/ML-Blog/?p=344#comment-16[…] maximal likelihood estimate (MLE) (see here for more details) for a vector of values $y=(y_1,cdots,y_m)$ associated to a sequence of […]
]]>Comment on Parameter Estimation by Statistical Inference – Machine Learning for Mathies
http://www.nullplug.org/ML-Blog/2017/10/10/parameter-estimation/#comment-15
Tue, 10 Oct 2017 09:49:45 +0000http://www.nullplug.org/ML-Blog/?p=344#comment-15[…] Parameter Estimation. […]
]]>Comment on Statistical Inference by Parameter Estimation – Machine Learning for Mathies
http://www.nullplug.org/ML-Blog/2017/10/05/statistical-inference-2/#comment-14
Tue, 10 Oct 2017 09:48:32 +0000http://www.nullplug.org/ML-Blog/?p=286#comment-14[…] a symmetric 95% confidence interval (see here for some additional discussion) for our estimate $mu_S$ of $widehat{mu}$ which is centered about […]
]]>Comment on Probability and Statistics Background by Computer Science Background – Machine Learning for Mathies
http://www.nullplug.org/ML-Blog/2017/09/26/probability-and-statistics-background/#comment-13
Tue, 10 Oct 2017 09:23:08 +0000http://www.nullplug.org/ML-Blog/?p=61#comment-13[…] probability theory and, especially, statistical inference it is very common to take iterated products of […]
]]>Comment on Hypothesis Testing by Statistical Inference – Machine Learning for Mathies
http://www.nullplug.org/ML-Blog/2017/10/10/hypothesis-testing/#comment-12
Tue, 10 Oct 2017 09:10:11 +0000http://www.nullplug.org/ML-Blog/?p=342#comment-12[…] Hypothesis testing. […]
]]>Comment on Hypothesis Testing by Parameter Estimation – Machine Learning for Mathies
http://www.nullplug.org/ML-Blog/2017/10/10/hypothesis-testing/#comment-11
Tue, 10 Oct 2017 09:09:14 +0000http://www.nullplug.org/ML-Blog/?p=342#comment-11[…] $thetain [0,1]$) is what we would expect: $theta = 1$, as mentioned in the hypothesis testing example of an overconfident […]
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