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Posit
Posit
In-person registration is now open for posit::conf(2023), happening September 17-20 in Chicago, IL!
·posit.co·
Posit
What Is ChatGPT Doing … and Why Does It Work?
What Is ChatGPT Doing … and Why Does It Work?
Stephen Wolfram explores the broader picture of what's going on inside ChatGPT and why it produces meaningful text. Discusses models, training neural nets, embeddings, tokens, transformers, language syntax.
·writings.stephenwolfram.com·
What Is ChatGPT Doing … and Why Does It Work?
Why comment your code as little (and as well) as possible - R-hub blog
Why comment your code as little (and as well) as possible - R-hub blog
When I first started programming, I clearly remember feeling I had to add comments, that would repeat exactly what the code below was doing, as if it were the script for some sort of voice over. I want you to know like I now do that it’s not the way to comment one’s code. 😅 An important goal of good code is to be readable so that future contributors can build with and upon it as needed.
·blog.r-hub.io·
Why comment your code as little (and as well) as possible - R-hub blog
A CRITICAL FIELD GUIDE FOR WORKING WITH MACHINE LEARNING DATASETS
A CRITICAL FIELD GUIDE FOR WORKING WITH MACHINE LEARNING DATASETS
Maybe you’re an engineer creating a new machine vision system to track birds. You might be a journalist using social media data to research Costa Rican households. You could be a researcher who stumbled upon your university’s archive of handwritten census cards from 1939. Or a designer creating a chatbot that relies on large language models like GPT-3. Perhaps you’re an artist experimenting with visual style combinations using DALLE-2. Or maybe you’re an activist with an urgent story that needs telling, and you’re searching for the right dataset to tell it.
·knowingmachines.org·
A CRITICAL FIELD GUIDE FOR WORKING WITH MACHINE LEARNING DATASETS
How I learn machine learning
How I learn machine learning
1. Learn broadly. 2. Learn deeply. 3. Don't be afraid to re-learn
·vickiboykis.com·
How I learn machine learning
Albert Rapp - Bar plot checklist
Albert Rapp - Bar plot checklist
Bar charts are easy to make but hard to perfect. Let's create a small checklist to make things easier.
·albert-rapp.de·
Albert Rapp - Bar plot checklist
Albert Rapp - Writing Versatile Functions with R
Albert Rapp - Writing Versatile Functions with R
Using concepts like dot-dot-dot and curly-curly we create functions that are more versatile and can be used in multiple settings.
·albert-rapp.de·
Albert Rapp - Writing Versatile Functions with R
Training a Neural Network? Start here!
Training a Neural Network? Start here!
Training neural networks can be very confusing! What’s a good learning rate? How many hidden layers should your network have? Is dropout actually useful? Why are your gradients vanishing? In this p…
·lavanya.ai·
Training a Neural Network? Start here!
Part I – Best Practices for Picking a Machine Learning Model
Part I – Best Practices for Picking a Machine Learning Model
The part art, part science of picking the perfect machine learning model. The number of shiny models out there can be overwhelming, which means a lot of times people fallback on a few they trust th…
·lavanya.ai·
Part I – Best Practices for Picking a Machine Learning Model
Machine Learning 1: Lesson 4
Machine Learning 1: Lesson 4
My personal notes from machine learning class. These notes will continue to be updated and improved as I continue to review the course to…
·medium.com·
Machine Learning 1: Lesson 4
haozhu233/PythonEmbedInR: Based off of PythonInR (https://bitbucket.org/Floooo/pythoninr/) but includes a standalone, compiled from source python instead of relying on the python installed on the host machine
haozhu233/PythonEmbedInR: Based off of PythonInR (https://bitbucket.org/Floooo/pythoninr/) but includes a standalone, compiled from source python instead of relying on the python installed on the host machine
Based off of PythonInR (https://bitbucket.org/Floooo/pythoninr/) but includes a standalone, compiled from source python instead of relying on the python installed on the host machine - haozhu233/Py...
·github.com·
haozhu233/PythonEmbedInR: Based off of PythonInR (https://bitbucket.org/Floooo/pythoninr/) but includes a standalone, compiled from source python instead of relying on the python installed on the host machine
haozhu233/ezsummary
haozhu233/ezsummary
Contribute to haozhu233/ezsummary development by creating an account on GitHub.
·github.com·
haozhu233/ezsummary
R Markdown Cookbook
R Markdown Cookbook
This book showcases short, practical examples of lesser-known tips and tricks to helps users get the most out of these tools. After reading this book, you will understand how R Markdown documents are transformed from plain text and how you may customize nearly every step of this processing. For example, you will learn how to dynamically create content from R code, reference code in other documents or chunks, control the formatting with customer templates, fine-tune how your code is processed, and incorporate multiple languages into your analysis.
·bookdown.org·
R Markdown Cookbook