Difference between revisions of "Building Your Environment"

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|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 
  
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[https://www.youtube.com/results?search_query=AI+Environment+machine+learning+frameworks+compared Youtube search...]
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[https://www.google.com/search?q=AI+Environment+frameworks+compared+deep+machine+learning+ML ...Google search]
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* [https://www.altexsoft.com/blog/datascience/comparing-machine-learning-as-a-service-amazon-microsoft-azure-google-cloud-ai-ibm-watson/ Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson | Bradford Cross]
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* [https://www.dataversity.net/ai-platforms-next-step-artificial-intelligence/# AI Platforms: The Next Step in Artificial Intelligence | Keith D. Foote]
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* [https://www.ipi-singapore.org/technology-offers/artificial-intelligence-platform-machine-learning-modelling-and-cloud Artificial Intelligence Platform, Machine Learning Modelling and Cloud | IPI]
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* [[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]]
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* [[Containers; Docker, Kubernetes & Microservices]]
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* [[Kubeflow Pipelines]]
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* [[Service Capabilities]]
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* [[Artificial General Intelligence (AGI) to Singularity]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ...  [[Algorithm Administration#Automated Learning|Automated Learning]]
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* [[AI Marketplace & Toolkit/Model Interoperability]]
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* [[Serverless]]
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* [https://blog.pocketcluster.io/ Pocketcluster - Weekly Machine Learning Opensource Roundup]
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* Environments:
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** [[Local]] Machine, [[Anaconda]], [[TensorFlow]], Graphics card GPU
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** [[Laptop]]s for Machine Learning
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** [[Google AIY Projects Program]]
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* [https://www.forbes.com/sites/cognitiveworld/2019/09/11/the-full-stack-data-scientist-myth-unicorn-or-new-normal/#60cf23612c60 The Full Stack Data Scientist: Myth, Unicorn, or New Normal? | Nisha Talagala - Forbes]
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The capability to transform data into actionable insight is the key to a competitive advantage for any
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organization.  ... While many ML algorithms have been around for years, the ability to apply complex mathematical calculations to
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data, and process them more quickly than ever before, is a recent [[development]].[https://www.gartner.com/binaries/content/assets/events/keywords/catalyst/catus8/preparing_and_architecting_for_machine_learning.pdf Preparing and Architecting for Machine Learning | Carlton E. Sapp]
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<youtube>WQt4H1Bo0jM</youtube>
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<youtube>URWXG5jRB-A</youtube>
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* [https://www.kdnuggets.com/2019/02/gartner-2019-mq-data-science-machine-learning-changes.html Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms | Gregory Piatetsky - KDnuggets]
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https://www.kdnuggets.com/images/gartner-mq-data-science-platforms-2018-vs-2018-645.jpg
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== <span id="My Own AI Server"></span>My Own AI Server ==
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* [https://www.digit.in/features/machine-learning-and-ai/deep-learning-with-tensorflow-and-intel-a-hardware-and-software-guide-for-beginners-47216.html Deep Learning with Tensorflow and INTEL - A Hardware and Software Guide for Beginners | digit]
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* [https://medium.com/the-mission/why-building-your-own-deep-learning-computer-is-10x-cheaper-than-aws-b1c91b55ce8c Why building your own Deep Learning Computer is 10x cheaper than AWS | Jeff Chen]
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* [https://towardsdatascience.com/build-and-setup-your-own-deep-learning-server-from-scratch-e771dacaa252 Build and Setup Your Own Deep Learning Server From Scratch | Kitty Shum]
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* [https://www.cio.com/article/3209706/artificial-intelligence/machine-intelligence-build-your-own-vs-as-a-service.html Machine intelligence: Build your own vs. as-a-service]
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<youtube>xsnVlMWQj8o</youtube>
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<youtube>H7WDbrqWGXE</youtube>
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<youtube>ZpgaFgdbBEI</youtube>
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<youtube>orzOOPD-E9Y</youtube>
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<youtube>CmS7XexsdT0</youtube>
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<youtube>jLDOibBz5ro</youtube>
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=== Using My Laptop ===
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[https://www.youtube.com/results?search_query=ai+laptop+gpu YouTube]
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[https://www.quora.com/search?q=ai%20laptop%20gpu ... Quora]
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[https://www.google.com/search?q=ai+laptop+gpu ... Google search]
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[https://news.google.com/search?q=ai+laptop+gpu ... Google News]
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[https://www.bing.com/news/search?q=ai+laptop+gpu&qft=interval%3d%228%22 ... Bing News]
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<youtube>HZ4kZmYXd04</youtube>
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<youtube>kT_-qUxrlOU</youtube>
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<youtube>OLg2BKhwaSc</youtube>
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<youtube>sMy94CgAMrk</youtube>
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== [[Meta]] ==
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[https://www.youtube.com/results?search_query=Meta+Facebook+big+basin+sur+tioga+Server+machine+learning Youtube search...]
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[https://www.google.com/search?q=Meta+Facebook+big+basin+sur+tioga+AI+Server+deep+machine+learning+ML ...Google search]
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* [https://code.fb.com/data-center-engineering/introducing-big-basin-our-next-generation-ai-hardware/ Introducing Big Basin: Our next-generation AI hardware | Kevin Lee -] [[Meta|Facebook]]
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* [https://www.slideshare.net/KarthikMurugesan2/facebook-machine-learning-infrastructure-2018-slides Facebook] | [[Meta]]
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<youtube>hwGxhz5zPvk</youtube>
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<youtube>pvtUrkIR3rY</youtube>

Latest revision as of 20:46, 26 April 2024

Youtube search... ...Google search

The capability to transform data into actionable insight is the key to a competitive advantage for any organization. ... While many ML algorithms have been around for years, the ability to apply complex mathematical calculations to data, and process them more quickly than ever before, is a recent development.Preparing and Architecting for Machine Learning | Carlton E. Sapp



gartner-mq-data-science-platforms-2018-vs-2018-645.jpg

My Own AI Server

Using My Laptop

YouTube ... Quora ... Google search ... Google News ... Bing News

Meta

Youtube search... ...Google search

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