educational-materials issueshttps://gitlab.com/deep.TEACHING/educational-materials/-/issues2021-07-07T14:54:47Zhttps://gitlab.com/deep.TEACHING/educational-materials/-/issues/9Minor Review: Machine Learning Fundamentals - Probability Theory - Exercise: ...2021-07-07T14:54:47ZChristophMinor Review: Machine Learning Fundamentals - Probability Theory - Exercise: D-SeparationOpen for review.Open for review.https://gitlab.com/deep.TEACHING/educational-materials/-/issues/10Major Review: Machine Learning Fundamentals - Probability Theory - Exercise: ...2018-08-20T08:32:24ZChristophMajor Review: Machine Learning Fundamentals - Probability Theory - Exercise: Cookie ProblemOpen for review.Open for review.https://gitlab.com/deep.TEACHING/educational-materials/-/issues/14Major Review: Machine Learning Fundamentals - Probability Theory - Bayes Theorem2018-05-14T19:44:59Zbensnajdarbensnajdar@posteo.netMajor Review: Machine Learning Fundamentals - Probability Theory - Bayes Theorem# Moved from Minor Review
Major reviewer should verify following aspects from minor review:
- In this notebook A and B denote sets of specific events. For example A is "Number of cases where chocolate addiction is present". Therefore p...# Moved from Minor Review
Major reviewer should verify following aspects from minor review:
- In this notebook A and B denote sets of specific events. For example A is "Number of cases where chocolate addiction is present". Therefore p(A) is only a single probability value. When I'm reading p(A), I would usually think of A (Addicted) as a random variable that can take on several values like A=positive or A=negative. A would be a probability table.
- The same comes to mind in the Cookie Problem example. There is no clear distinction between a random variable ("Cookie" or "Bowl") and a certain value (e.g. "Vanilla" or "1") this variable can take.
- I don't even know if my concerns are valid here, because you are using a set notation and capital A is perfectly fine to describe a set. Also the notation is consistent throughout the notebook. I'm just concerned about later examples, like in my Cookie Problem Exercise notebook, where something like P(A) describes a probability table and P(A=positive) or P(A=negative) the possible values (subtables), which might be confusing.https://gitlab.com/deep.TEACHING/educational-materials/-/issues/24Minor Reveiw: Courses - HTW Berlin - Angewandte Informatik - Advanced Topics ...2018-09-10T13:36:10ZKlaus StrohmengerMinor Reveiw: Courses - HTW Berlin - Angewandte Informatik - Advanced Topics - Exercise 02 - Expected ValueOpen for review. Review also about the solutions, found in the solutions-repo, much appreciated. In case of errors / **suggestions about the solutions**, just **set the confidentiality of the issue** and reply here.Open for review. Review also about the solutions, found in the solutions-repo, much appreciated. In case of errors / **suggestions about the solutions**, just **set the confidentiality of the issue** and reply here.https://gitlab.com/deep.TEACHING/educational-materials/-/issues/25Minor Review: Courses - HTW Berlin - Angewandte Informatik - Advanced Topics ...2018-09-10T13:35:59ZKlaus StrohmengerMinor Review: Courses - HTW Berlin - Angewandte Informatik - Advanced Topics - Exercise 03 - Monte Carlo EstimatorOpen for review. Review also about the solutions, found in the solutions-repo, much appreciated. In case of errors / **suggestions about the solutions**, just **set the confidentiality of the issue** and reply here.Open for review. Review also about the solutions, found in the solutions-repo, much appreciated. In case of errors / **suggestions about the solutions**, just **set the confidentiality of the issue** and reply here.https://gitlab.com/deep.TEACHING/educational-materials/-/issues/26Minor Review: Courses - HTW Berlin - Angewandte Informatik - Advanced Topics...2019-07-31T10:24:12ZKlaus StrohmengerMinor Review: Courses - HTW Berlin - Angewandte Informatik - Advanced Topics - Exercise 04 - EntropyOpen for review. Review also about the solutions, found in the solutions-repo, much appreciated. In case of errors / **suggestions about the solutions**, just **set the confidentiality of the issue** and reply here.Open for review. Review also about the solutions, found in the solutions-repo, much appreciated. In case of errors / **suggestions about the solutions**, just **set the confidentiality of the issue** and reply here.https://gitlab.com/deep.TEACHING/educational-materials/-/issues/31Minor Review: Courses - HTW Berlin - Angewandte Informatik - Advanced Topics ...2018-09-13T12:13:31ZKlaus StrohmengerMinor Review: Courses - HTW Berlin - Angewandte Informatik - Advanced Topics - Exercise - Multiclass Logistic Regression (Softmax) with tensorflowopen for reviewopen for reviewhttps://gitlab.com/deep.TEACHING/educational-materials/-/issues/32Minor Review: Machine Learning Fundamentals - Linear Algebra - Exercise: Matr...2019-07-08T12:06:57Zbensnajdarbensnajdar@posteo.netMinor Review: Machine Learning Fundamentals - Linear Algebra - Exercise: Matrix Vector Operationshttps://gitlab.com/deep.TEACHING/educational-materials/-/issues/33Minor Review: Courses - HTW Berlin - Angewandte Informatik - Advanced Topics ...2018-09-25T19:02:54ZKlaus StrohmengerMinor Review: Courses - HTW Berlin - Angewandte Informatik - Advanced Topics - Exercise - Meaning of Softmax Output Probabilityhttps://gitlab.com/deep.TEACHING/educational-materials/-/issues/35Minor Review: Exercise - Multivariate Gaussian2019-07-09T13:17:29ZKlaus StrohmengerMinor Review: Exercise - Multivariate Gaussianhttps://gitlab.com/deep.TEACHING/educational-materials/blob/dev/notebooks/courses/htw-berlin/angewandte-informatik/advanced-topics/exercise-multivariate-gaussian.ipynbhttps://gitlab.com/deep.TEACHING/educational-materials/blob/dev/notebooks/courses/htw-berlin/angewandte-informatik/advanced-topics/exercise-multivariate-gaussian.ipynbhttps://gitlab.com/deep.TEACHING/educational-materials/-/issues/36Minor Review: Exercise - Linear Regression MAP2019-09-26T08:11:02ZKlaus StrohmengerMinor Review: Exercise - Linear Regression MAPhttps://gitlab.com/deep.TEACHING/educational-materials/blob/dev/notebooks/courses/htw-berlin/angewandte-informatik/advanced-topics/exercise-linear-regression-MAP.ipynbhttps://gitlab.com/deep.TEACHING/educational-materials/blob/dev/notebooks/courses/htw-berlin/angewandte-informatik/advanced-topics/exercise-linear-regression-MAP.ipynbhttps://gitlab.com/deep.TEACHING/educational-materials/-/issues/37Minor Review: Exercise - Univariate Gaussian Basics2019-07-09T10:56:48ZKlaus StrohmengerMinor Review: Exercise - Univariate Gaussian Basicshttps://gitlab.com/deep.TEACHING/educational-materials/blob/dev/notebooks/courses/htw-berlin/angewandte-informatik/advanced-topics/exercise-univariate-gaussian-basics.ipynbhttps://gitlab.com/deep.TEACHING/educational-materials/blob/dev/notebooks/courses/htw-berlin/angewandte-informatik/advanced-topics/exercise-univariate-gaussian-basics.ipynbhttps://gitlab.com/deep.TEACHING/educational-materials/-/issues/38Minor Review: Exercise - Univariate Gaussian Likelihood2019-09-25T14:29:44ZKlaus StrohmengerMinor Review: Exercise - Univariate Gaussian Likelihoodhttps://gitlab.com/deep.TEACHING/educational-materials/blob/dev/notebooks/courses/htw-berlin/angewandte-informatik/advanced-topics/exercise-univariate-gaussian-likelihood.ipynbhttps://gitlab.com/deep.TEACHING/educational-materials/blob/dev/notebooks/courses/htw-berlin/angewandte-informatik/advanced-topics/exercise-univariate-gaussian-likelihood.ipynbhttps://gitlab.com/deep.TEACHING/educational-materials/-/issues/39Minor Review: courses / htw-berlin / advanced_topics / exercise-causal-reason...2019-09-26T12:32:33ZKlaus StrohmengerMinor Review: courses / htw-berlin / advanced_topics / exercise-causal-reasoning-probability-tables.ipynbhttps://gitlab.com/deep.TEACHING/educational-materials/-/issues/42Minor Review: information-theory/exercise-kullback-leibler-divergence2019-07-30T12:17:09ZKlaus StrohmengerMinor Review: information-theory/exercise-kullback-leibler-divergencehttps://gitlab.com/deep.TEACHING/educational-materials/-/issues/43Minor Review: htw-berlin / advanced_topics / exercise-simple-example-for-EM2019-09-26T15:01:20ZKlaus StrohmengerMinor Review: htw-berlin / advanced_topics / exercise-simple-example-for-EMhttps://gitlab.com/deep.TEACHING/educational-materials/-/issues/90Minor Review: exercise-pymc3-ranking2021-07-07T14:54:32ZKlaus StrohmengerMinor Review: exercise-pymc3-ranking* rewrote Introduction
* rewrote Knowledge part
* added theory part
* extended data loading part
* extended exercsie description
* corrected the exercise sample solution in the skip cell since it threw a value error
todo:
* calculation...* rewrote Introduction
* rewrote Knowledge part
* added theory part
* extended data loading part
* extended exercsie description
* corrected the exercise sample solution in the skip cell since it threw a value error
todo:
* calculations take too long, something still must be fishy there
* overall sample solution approach must be reviewed, it does not seem to be correct
* add sample solution plots at the end of the exercise