Difference between revisions of "Notebooks"
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|title=PRIMO.ai | |title=PRIMO.ai | ||
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− | |keywords=artificial, intelligence, machine, learning, models | + | |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools |
− | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | + | |
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[http://www.youtube.com/results?search_query=jupyter+R+markdown+artificial+intelligence+deep+learning Youtube search...] | [http://www.youtube.com/results?search_query=jupyter+R+markdown+artificial+intelligence+deep+learning Youtube search...] | ||
[http://www.google.com/search?q=jupyter+R+markdown+deep+machine+learning+ML ...Google search] | [http://www.google.com/search?q=jupyter+R+markdown+deep+machine+learning+ML ...Google search] | ||
− | * [[Python]] and installing with Anaconda | + | * [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless]] ... [[Hugging Face]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]] |
+ | * [[Jupyter]] notebooks | ||
+ | * [[Colaboratory]] | ||
+ | * [[Python]] and installing with [[Anaconda]] | ||
* [[Kaggle]] Overview | * [[Kaggle]] Overview | ||
* [[SageMaker]] | * [[SageMaker]] | ||
− | * [[Git - GitHub and GitLab]] | + | * [[Libraries & Frameworks Overview]] ... [[Libraries & Frameworks]] ... [[Git - GitHub and GitLab]] ... [[Other Coding options]] |
− | + | * [[Python]] ... [[Generative AI with Python|GenAI w/ Python]] ... [[JavaScript]] ... [[Generative AI with JavaScript|GenAI w/ JavaScript]] ... [[TensorFlow]] ... [[PyTorch]] | |
− | + | * [[Gaming]] ... [[Game-Based Learning (GBL)]] ... [[Games - Security|Security]] ... [[Game Development with Generative AI|Generative AI]] ... [[Metaverse#Games - Metaverse|Games - Metaverse]] ... [[Games - Quantum Theme|Quantum]] ... [[Game Theory]] ... [[Game Design | Design]] | |
− | + | * [http://databricks.com/product/collaborative-notebooks Collaborative Notebooks |] [[Databricks]] | |
− | * [ | + | * [http://blog.cloudera.com/use-your-favorite-editor-in-cloudera-data-science-workbench-1-6/ Use Your Favorite Editor in Cloudera Data Science Workbench (CDSW) | Cloudera] |
− | * [http:// | + | * [http://docusaurus.io/ Docusaurus] maintain Open Source documentation websites. |
− | + | * [http://mode.com/help/articles/notebook/#python Mode] - Every Mode report contains an integrated notebook-style environment where you can use either [[Python]] or R to further explore and visualize your query results. Whenever a report is run, any code included in that report’s notebook will also run. | |
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== R Markdown == | == R Markdown == | ||
+ | * [http://rmarkdown.rstudio.com/ R Markdown | R Studio] | ||
+ | * [http://www.rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf Cheatsheet] | ||
− | + | R Markdown documents are fully reproducible. Use a productive notebook interface to weave together narrative text and code to produce elegantly formatted output. Use multiple languages including R, Python, and SQL. | |
<youtube>-apyD5f9nwg</youtube> | <youtube>-apyD5f9nwg</youtube> | ||
<youtube>sQjnvaf072M</youtube> | <youtube>sQjnvaf072M</youtube> |
Latest revision as of 11:51, 6 November 2024
Youtube search... ...Google search
- Development ... Notebooks ... AI Pair Programming ... Codeless ... Hugging Face ... AIOps/MLOps ... AIaaS/MLaaS
- Jupyter notebooks
- Colaboratory
- Python and installing with Anaconda
- Kaggle Overview
- SageMaker
- Libraries & Frameworks Overview ... Libraries & Frameworks ... Git - GitHub and GitLab ... Other Coding options
- Python ... GenAI w/ Python ... JavaScript ... GenAI w/ JavaScript ... TensorFlow ... PyTorch
- Gaming ... Game-Based Learning (GBL) ... Security ... Generative AI ... Games - Metaverse ... Quantum ... Game Theory ... Design
- Collaborative Notebooks | Databricks
- Use Your Favorite Editor in Cloudera Data Science Workbench (CDSW) | Cloudera
- Docusaurus maintain Open Source documentation websites.
- Mode - Every Mode report contains an integrated notebook-style environment where you can use either Python or R to further explore and visualize your query results. Whenever a report is run, any code included in that report’s notebook will also run.
R Markdown
R Markdown documents are fully reproducible. Use a productive notebook interface to weave together narrative text and code to produce elegantly formatted output. Use multiple languages including R, Python, and SQL.