CTAN Comprehensive TeX Archive Network

Guest Book

The guest book contains 176 items.


Hello everyone :D
Skylar Lindgren, 2023-08-13 04:52 CEST


Dr. REYMOND VILLASENOR, 2023-08-05 14:37 CEST

Embarking on a journey

Dutzende Male bin ich vor der Aufmachung und dem Inhalt der Seite zurückgeschreckt. Heute verbreitet sich ein wohliges Gefühl, dass ich diese Software für mich verstehen kann.
phoenix from the ashes, 2023-07-27 15:03 CEST


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Sanae Hunkin, 2023-07-18 19:14 CEST


I am new to latex and want to learn.
Veerbhadrappa Telgane, 2023-06-27 08:19 CEST


Super new to the Tex and am learning my ropes around it. will see how it goes
Suriya Ganesh, 2023-05-29 08:01 CEST

Authorization request.

My name is Paulo Soares (Domendron), from Brazil - São Vicente/SP. I am interested in learning more about LaTex and found this space through Google searches. I thank you in advance for your attention and ask for permission to explore this space in order to obtain knowledge and skills to use this tool with the materials available in this space. I leave my strong hug to all and I wish you Strength Always.
Paulo Henrique Soares, 2023-05-23 15:35 CEST

Missing ligature

The 'fj' ligature is missing in this font, used as in 'fjord'. Hope the author adds this feature in a future release! Great free Bembo-like font in LaTeX for the first time! Yay!
anonymous, 2023-05-15 06:33 CEST

RIP Walter A. Schmidt

In gedenken einer Legende
Grogu, 2023-05-07 17:36 CEST

Logistic regression

Data Preparation: Collect data that contains the features (or input variables) that are believed to be predictive of the outcome, and the outcome variable itself. The data should be cleaned, normalized and preprocessed as necessary to ensure that the features are on similar scales and that there are no missing values or outliers that could adversely affect the model.

Feature Selection: Choose the set of features to be used in the model. Feature selection can be done through various methods such as domain knowledge, statistical tests, or machine learning techniques.

Model Construction: The logistic regression model assumes a linear relationship between the input variables and the log odds of the output variable. In other words, it fits a line to the data that best separates the two classes. The model is constructed by estimating the parameters of this line using a process called maximum likelihood estimation.

Model Training: The model is trained by fitting it to the training data, adjusting the parameters until it is able to accurately predict the outcome variable for the given set of features. This can be done using optimization techniques such as gradient descent or Newton's method.

Model Evaluation: Once the model is trained, it is evaluated using a separate set of validation data. The performance of the model is measured using metrics such as accuracy, precision, recall, and F1 score.

Model Deployment: Once the model is evaluated and deemed to be accurate, it can be deployed for use in real-world applications. This can involve integrating it into a software system or using it to make predictions on new data.

Overall, logistic regression is a powerful and widely used classification algorithm that can help solve a variety of prediction problems.

Hind Aboulazm, 2023-05-02 20:46 CEST

La Science

La science est une recherche de connaissances basée sur des vérités certaines. La science s'oppose à l'opinion qui est une connaissance incertaine et non prouvée. La science cherche à savoir plutôt qu'à croire et repose sur des justifications et des démonstrations. Les connaissances peuvent être d'ordre pratique ou scientifique. Les mathématiques sont une science formelle reposant sur des démonstrations conformes aux règles de la logique, tandis que la physique, la biologie, l'histoire ou la sociologie sont des sciences empiriques pouvant donner lieu à des controverses. La science tente de formuler des lois régissant les phénomènes observables et de fonder des connaissances abstraites à partir de raisonnements logiques. Les sciences ont une histoire d'une suite d'erreurs peu à peu rectifiées, ce qui incite les scientifiques à la modestie et à la capacité d'erreur. La capacité à rectifier ses erreurs définit la science. Les sciences de l'homme reposent sur la compréhension des phénomènes étudiés plutôt que sur leur explication comme dans les sciences de la nature. La science permet d'expliquer les phénomènes qui nous entourent et propose de considérer un monde rationnel, dominé par des lois et explicable par des mécanismes de causalité. Les lois physiques sont universelles et valables en tout temps.
anonymous, 2023-02-26 14:52 CET

allrunes package problem


I have problems with the allrunes package. In allrunes.sty have a new command "\swdefault" in line 94. That command exist in LaTeX and generate problems when I compile my text. I believe you correct that problem changing the name of that command in the allrunes.sty.

Thank you.

Walter Calienes, 2022-12-15 06:50 CET

Starting with LaTeX tutorials results

Remember to add both the tex source versions and the generated pdf versions
Sobir Ibrokhimov, 2022-09-23 14:09 CEST

Learning how to use LaTex to make cool math Anki cards

Self-explanatory, I want to learn some LaTex to make some Anki cards to practice for my Calculus I class this fall. Wish me the best of lucks
Nelson, 2022-08-01 14:02 CEST

Latex commands in order to write an Subject Index for Books

Hi dears, Actually I need to write my Book's Subject Index which is about Asymptotic Methods (Applied Mathematics). As you know it is not like the Index of the Books. Just please guide me to be able to add the correct commands of latex in my latex notebook to be able to collect the subject index words in the place of Book. Regards M Sanjarani
M.Sanjarani pour, 2022-06-25 16:52 CEST

Thanks for this tool

It really saves my day every time I have to do a college work that involves changing sets of results.

Thanks a lot!

Baltasar, 2022-03-18 21:42 CET

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