Difference between revisions of "Kaggle Kernels"
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| − | [ | + | {{#seo: |
| + | |title=PRIMO.ai | ||
| + | |titlemode=append | ||
| + | |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS | ||
| + | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
| + | }} | ||
| + | [https://www.youtube.com/results?search_query=Kernels+Kaggle+artificial+intelligence+deep+learning Youtube search...] | ||
| + | [https://www.google.com/search?q=Kernels+Kaggle+deep+machine+learning+ML ...Google search] | ||
| − | * [ | + | * [[Kaggle]] Overview |
| − | * [[Jupyter | + | * [[Kaggle Competitions]] |
| + | * [https://www.kaggle.com/kernels Kernels | Kaggle] | ||
| + | * [[Notebooks]]; [[Jupyter]] and R Markdown | ||
Free platform to run Jupyter Notebooks in your browser accessible anywhere in the world where you have an Internet connection; no need to setup a local environment. Kernels are a combination of environment, input, code, and output - all stored together for every version you create. By storing all of these attributes together Kernels are fundamentally reproducible, easy to share, and easy to learn from or fork. Kernels contain both the code needed for an analysis, and the analysis itself. It's the core of your work, what you need to make it reproducible, to make it grow, and to invite collaboration. | Free platform to run Jupyter Notebooks in your browser accessible anywhere in the world where you have an Internet connection; no need to setup a local environment. Kernels are a combination of environment, input, code, and output - all stored together for every version you create. By storing all of these attributes together Kernels are fundamentally reproducible, easy to share, and easy to learn from or fork. Kernels contain both the code needed for an analysis, and the analysis itself. It's the core of your work, what you need to make it reproducible, to make it grow, and to invite collaboration. | ||
Latest revision as of 20:32, 28 March 2023
Youtube search... ...Google search
- Kaggle Overview
- Kaggle Competitions
- Kernels | Kaggle
- Notebooks; Jupyter and R Markdown
Free platform to run Jupyter Notebooks in your browser accessible anywhere in the world where you have an Internet connection; no need to setup a local environment. Kernels are a combination of environment, input, code, and output - all stored together for every version you create. By storing all of these attributes together Kernels are fundamentally reproducible, easy to share, and easy to learn from or fork. Kernels contain both the code needed for an analysis, and the analysis itself. It's the core of your work, what you need to make it reproducible, to make it grow, and to invite collaboration.
