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 www.ericekholm.com
Eric Ekholm - MLE Learning Out Loud 2: Logistic Regression
| | fa.bianp.net
Numerical optimizers for Logistic Regression
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| | MathJax.Hub.Config({ extensions: ["tex2jax.js"], jax: ["input/TeX", "output/HTML-CSS"], tex2jax: { inlineMath: [ ['$','$'], ["\\(","\\)"] ], displayMath: [ ['$$','$$'], ["\\[","\\]"] ], processEscapes: true }, TeX: { equationNumbers: { autoNumber: "AMS" }, extensions: ["AMSmath.js", "AMSsymbols.js"] }, "HTML-CSS": { fonts: ["TeX"] } }); In this post I compar several implementations of Logistic Regression. The task was to implement a Logistic Regression model using standard optimization ...
| | finnstats.com
Nonlinear Regression Analysis in R ยป finnstats
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| | Nonlinear Regression Analysis in R. We learned about R logistic regression and its applications, as well as MLE line estimation and NLRM.
| | matbesancon.xyz
A Pythonic data science project: Part III | ??
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| | Learning by doing: predicting the outcome.
| | margint.blog
My 2019 Recap of Machine Learning From Academia To Industry - Marginally Interesting by Mikio L. Braun
22.6 parsecs away

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| In a few days on August 1st, I will have completed my fourth year at Zalando. It is my first job out of university and I was fortunate enough to have their trust to make the switch from supervising a bunch of Ph.D. students to managing teams and leading people. Later, I switched to an...