Montag, 27. August 2018
Posts
Diverse Posts zu den Themen R, Statistik etc.
- Auto-Keras: Tuning-free deep learning from R: blogs.rstudio.com/tensorflow/posts/2019-04-16-autokeras/
- Symbolic Regression, Genetic Programming … or If Kepler Had R: blog.ephorie.de/symbolic-regression-genetic-programming-or-if-kepler-had-r
- Adding Custom Fonts to ggplot in R: gradientdescending.com/adding-custom-fonts-to-ggplot-in-r/
- Create Data Visualizations Like BBC News With the BBC’s R Cookbook: blog.revolutionanalytics.com/2019/02/bbc-r-cookbook.html
- Use Foreach With HPC Schedulers Thanks to the Future Package: blog.revolutionanalytics.com/2019/01/future-package.html
- Getting Started With TensorFlow Probability From R: blogs.rstudio.com/tensorflow/posts/2019-01-08-getting-started-with-tf-probability/
- Pdftools 2.0. Powerful PDF Text Extraction Tools: ropensci.org/technotes/2018/12/14/pdftools-20/
- You Sure? A Bayesian Approach to Obtaining Uncertainty Estimates From Neural Networks: blogs.rstudio.com/tensorflow/posts/2018-11-12-uncertainty_estimates_dropout/
- Image Segmentation Based on Superpixels and Clustering: mlampros.github.io/mlampros.github.io/2018/11/09/Image_Segmentation_Superpixels_Clustering/
- Awesome Public Datasets: www.gislounge.com/awesome-public-datasets/
- The Chartmaker Directory. Data Visualizations in Every Tool: blog.revolutionanalytics.com/2018/08/chartmaker-directory.html
- A Certification for R Package Quality: blog.revolutionanalytics.com/2018/07/cii-certification-for-r-packages.html
- histoRicalg. The Effort to Document Historic and Historical Numerical Algorithms in R: www.avrahamadler.com/2018/07/29/historicalg-the-effort-to-document-historic-and-historical-numerical-algorithms-in-r/
- Interactive Tutorial on Dirichlet Processes Using R Shiny: stablemarkets.wordpress.com/2018/07/24/interactive-tutorial-on-dirichlet-processes-using-r-shiny/
- Regional Population Structures at a Glance: ikashnitsky.github.io/2018/the-lancet-paper/
- Explaining Black-Box Machine Learning Models – Code Part 1. Tabular Data + caret + iml: shirinsplayground.netlify.com/2018/07/explaining_ml_models_code_caret_iml/
- Where Do I Learn About log_sum_exp, log1p, lccdf, and Other Numerical Analysis Tricks?: andrewgelman.com/2018/07/12/learn-log_sum_exp-log1p-lccdf-numerical-analysis-tricks/
- Parallelizing Linear Regression or Using Multiple Sources: freakonometrics.hypotheses.org/53283
- Neural Networks are Essentially Polynomial Regression: matloff.wordpress.com/2018/06/20/neural-networks-are-essentially-polynomial-regression/
- An Introduction to Greta: rviews.rstudio.com/2018/04/23/on-first-meeting-greta/
- Performance Tuning Queries in PostgreSQL: www.geekytidbits.com/performance-tuning-postgres/
- OLAP Operation in R: horicky.blogspot.com/2013/07/olap-operation-in-r.html
