Google AutoML - Revision history

BPeat at 01:51, 27 April 2024

2024-04-27T01:51:59Z

BPeat at 01:29, 10 July 2023

2023-07-10T01:29:26Z

BPeat at 00:12, 6 July 2023

2023-07-06T00:12:47Z

BPeat at 20:10, 4 July 2023

2023-07-04T20:10:57Z

BPeat at 20:27, 3 July 2023

2023-07-03T20:27:30Z

BPeat: Text replacement - "http:" to "https:"

2023-03-28T20:07:00Z

Text replacement - "http:" to "https:"

BPeat at 12:54, 16 January 2023

2023-01-16T12:54:07Z

BPeat at 01:40, 7 March 2022

2022-03-07T01:40:34Z

BPeat at 14:58, 14 October 2020

2020-10-14T14:58:52Z

BPeat at 05:35, 26 December 2019

2019-12-26T05:35:24Z

@@ Line 23: / Line 23: @@
 * [[Google]]
 * [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]]
-* [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless, Generators, Drag n' Drop]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
+* [[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]]
 * [[Neural Architecture]]
 ** [[Neural Architecture#Neural Architecture Search (NAS) |Neural Architecture Search (NAS)]]

@@ Line 22: / Line 22: @@
 * [https://cloud.google.com/automl/ Google Cloud]
 * [[Google]]
-* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Loop]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Bayes]] ... [[Network Pattern]]
+* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Loop]] ... [[Bayes]] ... [[Network Pattern]]
 * [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless, Generators, Drag n' Drop]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
 * [[Neural Architecture]]

@@ Line 22: / Line 22: @@
 * [https://cloud.google.com/automl/ Google Cloud]
 * [[Google]]
-* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Loop]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Bayes]] ... [[Network Pattern]]
+* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Loop]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Requirements Management|Requirements]] ... [[Bayes]] ... [[Network Pattern]]
 * [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming]] ... [[Codeless Options, Code Generators, Drag n' Drop|Codeless, Generators, Drag n' Drop]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
 * [[Neural Architecture]]

@@ Line 22: / Line 22: @@
 * [https://cloud.google.com/automl/ Google Cloud]
 * [[Google]]
-* [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming Tools]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
+* [[Analytics]] ... [[Visualization]] ... [[Graphical Tools for Modeling AI Components|Graphical Tools]] ... [[Loop]] ... [[Diagrams for Business Analysis|Diagrams]] & [[Generative AI for Business Analysis|Business Analysis]] ... [[Bayes]] ... [[Network Pattern]]
 * [[Neural Architecture]]
 ** [[Neural Architecture#Neural Architecture Search (NAS) |Neural Architecture Search (NAS)]]

@@ Line 2: / Line 2: @@
 |title=PRIMO.ai
 |titlemode=append
-|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
+|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
 }}
 [https://www.youtube.com/results?search_query=Google+AutoML+Tables YouTube search...]
@@ Line 13: / Line 22: @@
 * [https://cloud.google.com/automl/ Google Cloud]
 * [[Google]]
-* [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]]
+* [[Development]] ... [[Notebooks]] ... [[Development#AI Pair Programming Tools|AI Pair Programming Tools]] ... [[Algorithm Administration#AIOps/MLOps|AIOps/MLOps]] ... [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)|AIaaS/MLaaS]]
 * [[Neural Architecture]]
 ** [[Neural Architecture#Neural Architecture Search (NAS) |Neural Architecture Search (NAS)]]

@@ Line 5: / Line 5: @@
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
-[http://www.youtube.com/results?search_query=Google+AutoML+Tables YouTube search...]
+[https://www.youtube.com/results?search_query=Google+AutoML+Tables YouTube search...]
-[http://www.google.com/search?q=Google+AutoML+Tables ...Google search]
+[https://www.google.com/search?q=Google+AutoML+Tables ...Google search]
-* [http://cloud.google.com/natural-language/#overview Natural Language | Google]
+* [https://cloud.google.com/natural-language/#overview Natural Language | Google]
-** [http://cloud.google.com/natural-language/overview/docs/get-started Documentation]
+** [https://cloud.google.com/natural-language/overview/docs/get-started Documentation]
-** [http://cloud.google.com/natural-language/automl/docs/quickstart Quickstart]
+** [https://cloud.google.com/natural-language/automl/docs/quickstart Quickstart]
-* [http://cloud.google.com/automl/ Google Cloud]
+* [https://cloud.google.com/automl/ Google Cloud]
 * [[Google]]
 * [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]]
 * [[Neural Architecture]]
 ** [[Neural Architecture#Neural Architecture Search (NAS) |Neural Architecture Search (NAS)]]
-* [http://www.infoq.com/news/2019/12/google-cloud-automl/ Google Cloud Team Releases AutoML Natural Language | Srini Penchikala - InfoQ]
+* [https://www.infoq.com/news/2019/12/google-cloud-automl/ Google Cloud Team Releases AutoML Natural Language | Srini Penchikala - InfoQ]
-suite of machine learning products which enables developers with limited machine learning expertise to train high-quality models specific to their business needs. This platform is built on machine learning algorithms such as transfer learning and neural architecture search technology. The AutoML products include AutoML Vision which derives insights from images, AutoML Natural Language which helps in gaining insights from text, AutoML Translation which detects and translate between different languages. [http://www.analyticsindiamag.com/7-machine-learning-tools-for-non-data-scientists/ 7 Machine Learning Tools For Non-Data Scientists | Ambika Choudhury]
+suite of machine learning products which enables developers with limited machine learning expertise to train high-quality models specific to their business needs. This platform is built on machine learning algorithms such as transfer learning and neural architecture search technology. The AutoML products include AutoML Vision which derives insights from images, AutoML Natural Language which helps in gaining insights from text, AutoML Translation which detects and translate between different languages. [https://www.analyticsindiamag.com/7-machine-learning-tools-for-non-data-scientists/ 7 Machine Learning Tools For Non-Data Scientists | Ambika Choudhury]
-The product is [http://www.fedramp.gov/ FedRAMP]-authorized at the Moderate level, making it easier for federal agencies to benefit from [http://ai.google/ Google AI] technology.
+The product is [https://www.fedramp.gov/ FedRAMP]-authorized at the Moderate level, making it easier for federal agencies to benefit from [https://ai.google/ Google AI] technology.
 == Custom ==
-* [http://www.g2.com/products/google-cloud-automl/pricing Pricing]
+* [https://www.g2.com/products/google-cloud-automl/pricing Pricing]
 <youtube>OHIEZ-Scek8</youtube>
@@ Line 31: / Line 31: @@
 == Tables - Structured Data ==
-* [http://cloud.google.com/automl-tables/ Google AutoML Tables] automates feature engineering on a wide range of tabular data primitives — such as numbers, classes, strings, timestamps, and lists — and also helps you detect and take care of missing values, outliers, and other common data issues.
+* [https://cloud.google.com/automl-tables/ Google AutoML Tables] automates feature engineering on a wide range of tabular data primitives — such as numbers, classes, strings, timestamps, and lists — and also helps you detect and take care of missing values, outliers, and other common data issues.
-* [http://cloud.google.com/automl-tables/pricing Pricing]
+* [https://cloud.google.com/automl-tables/pricing Pricing]
 <youtube>yPVc797kMyM</youtube>
@@ Line 40: / Line 40: @@
 == Natural Language ==
-* [http://cloud.google.com/natural-language/automl/docs/ Google Cloud AutoML Natural Language] enables you to create custom machine learning models to classify English-language content into a custom set of categories.
+* [https://cloud.google.com/natural-language/automl/docs/ Google Cloud AutoML Natural Language] enables you to create custom machine learning models to classify English-language content into a custom set of categories.
-* [http://cloud.google.com/natural-language/automl/pricing Pricing]
+* [https://cloud.google.com/natural-language/automl/pricing Pricing]
 <youtube>-zteIdpQ5UE</youtube>
@@ Line 47: / Line 47: @@
 == Translation ==
-* [http://cloud.google.com/translate/automl/docs/ AutoML Translation] lets you to create your own, custom translation models so that translation queries return results specific to your domain.
+* [https://cloud.google.com/translate/automl/docs/ AutoML Translation] lets you to create your own, custom translation models so that translation queries return results specific to your domain.
-* [http://cloud.google.com/translate/automl/pricing Pricing]
+* [https://cloud.google.com/translate/automl/pricing Pricing]
 <youtube>EN5vbk1bJgs</youtube>
@@ Line 54: / Line 54: @@
 == Vision ==
-* [http://cloud.google.com/vision/automl/docs/ AutoML Vision] enables you to train machine learning models to classify your images according to your own defined labels.
+* [https://cloud.google.com/vision/automl/docs/ AutoML Vision] enables you to train machine learning models to classify your images according to your own defined labels.
-* [http://gist.github.com/yufengg/984ed8c02d95ce7e95e1c39da906ee04 Notebook for preparing a CSV for Google Cloud AutoML Vision]
+* [https://gist.github.com/yufengg/984ed8c02d95ce7e95e1c39da906ee04 Notebook for preparing a CSV for Google Cloud AutoML Vision]
-* [http://cloud.google.com/vision/automl/pricing Pricing]
+* [https://cloud.google.com/vision/automl/pricing Pricing]
 <youtube>kgxfdTh9lz0</youtube>
@@ Line 66: / Line 66: @@
 == <span id="Video Intelligence"></span>Video Intelligence ==
-* [http://cloud.google.com/video-intelligence/automl/docs/ AutoML Video Intelligence] enables you to train machine learning models to classify shots and segments in your [[Video|video]]s according to your own defined labels.
+* [https://cloud.google.com/video-intelligence/automl/docs/ AutoML Video Intelligence] enables you to train machine learning models to classify shots and segments in your [[Video|video]]s according to your own defined labels.
-* [http://cloud.google.com/video-intelligence/automl/pricing Pricing]
+* [https://cloud.google.com/video-intelligence/automl/pricing Pricing]
 <youtube>mDAoLO4G4CQ</youtube>
 <youtube>y-k8oelbmGc</youtube>