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Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog

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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.

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Latest AI News

  • New Location for the APM Blog

    We're reactivating the blog and moving it to blog.aml4td.org. New posts will show up there and we've reproduced the old posts too. The blog name will remain the same. We won't be shutting this site down for a long while but I would point your RSS feeds to the new location.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog2 min read

  • 2022 tidymodels user survey

    We are conducting another survey to see where users would like us to spend our development time. Here's a link to the survey!

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog1 min read

  • tidymodels updates and voting!

    While I'm still supporting caret, the majority of my development effort has gone into the tidyverse modeling packages (called tidymodels). If you've never heard of this, we have just made an excellent learning resources at tidymodels.org. You might consider focusing on the Get Started pages.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog1 min read

  • Slides from R/Pharma

    My slides from the R/Pharma conference on "Modeling in the Tidyverse" are in pdf format as well as the HTML version. (Joe Cheng just killed it in his shiny presentation - see this repo)

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog1 min read

  • R/Medicine conference

    I'll be giving a talk at the R/Medicine conference on Sept 7th in New Haven CT. My talk is on modeling in the tidyverse but there are some excellent speakers. Rob Tibshirani, Mike Lawrence, Jennifer Thompson, and a bunch of others will be there. Take look at the conference website for more details.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog1 min read

  • Podcast on Nonclinical Statistics

    Hugo Bowne-Anderson and I spoke about about data science in pharmaceuticals, the tidyverse, and more for the excellent DataFramed podcast from DataCamp. Listen to it here or through your favorite blogging app.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog1 min read

  • Early draft of our "Feature Engineering and Selection" book

    Kjell and I are writing another book on predictive modeling, this time focused on all the things that you can do with predictors. It's about 60% done and we'd love to get feedback. You cna take a look at http://feat.engineering and provide feedback at https://github.com/topepo/FES/issues.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog1 min read

  • tidyposterior slides

    tidyposterior is an R package for comparing models based on their resampling statistics. There are a few case studies on the webpage to illustrate the process. I gave a talk at the Open Data Science Conference (ODSC) yesterday. A pdf of the slides are here and the animated gif above is here.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog1 min read

  • New Workshop in Washington DC (August)

    I'll be conducting a workshop called "Applied Machine Learning" in Washington DC on August 15 and 16. The last one, at the RStudio conference, sold out quickly.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog1 min read

  • Tidy Resampling Redux with Agricultural Economics Data

    (No statistical graphs in this one. This is what my dog Artemis looks like when she wants my attention during work hours.) Mindy L. Mallory (@ace_prof) wrote a blog post on Machine Learning and Econometrics: Model Selection and Assessment Statistical Learning Style where she has a great description…

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog7 min read

  • RStudio 2018 Conference Presentation and Materials

    We've released our videos of the talks at the 2018 RStudio conference. My talk was Modeling in the Tidyverse (video) and I was also in the Tidyverse fireside chat (video). There are a lot of great talks on the conference website.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog1 min read

  • Lots of Package News

    I've sent a slew of packages to CRAN recently (thanks to Swetlana and Uwe). There are updates to: caret was primarily updated to deal with an issue introduced in the last version. It is a good idea to avoid fully loading the underlying modeling packages to avoid name conflicts.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog2 min read

  • caret Cheatsheet

    It can be found on the RStudio cheatsheet page. Suggestions and pull requests are always welcome.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog1 min read

  • Nested Resampling with rsample

    A typical scheme for splitting the data when developing a predictive model is to create an initial split of the data into a training and test set. If resampling is used, it is executed on the training set where a series of binary splits is created.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog10 min read

  • Nonclinical Statistics Position in New England

    I try to limit postings about jobs here, there is an interesting position in pharma for a statistician in New England. I've had this particular position before as a nonclinical statistician and really loved the work and the scientific collaborations.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog1 min read

  • Do Resampling Estimates Have Low Correlation to the Truth? The Answer May Shock You.

    One criticism that is often leveled against using resampling methods (such as cross-validation) to measure model performance is that there is no correlation between the CV results and the true error rate. Let's look at this with some simulated data.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog3 min read

  • caret package plans

    A few people have asked if anything is going to happen to caret now that I'm working at RStudio. The answer is "very little will be different". More specifically: caret will be around for a long time. I'm still using it for things too! There will still be hills and valleys for development/support.

    Applied Predictive Modeling by Max Kuhn and Kjell Johnson Blog2 min read

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