Difference between revisions of "PRIMO.ai"

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|title=PRIMO.ai
 
|title=PRIMO.ai
 
|titlemode=append
 
|titlemode=append
|keywords=artificial, intelligence, machine, learning, models, algorithms, cybersecurity, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS  
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|keywords=artificial, intelligence, machine, learning, models, algorithms, cybersecurity, data, singularity, moonshot, TensorFlow, Google, NVIDIA, Microsoft, Azure, Amazon, AWS, Facebook
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools  
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|description=Helpful resources for your journey with artificial intelligence; machine learning, videos, articles, techniques, courses, profiles, and tools  
  
 
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-101589255-2"></script>
 
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-101589255-2"></script>
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* [[Lasso Regression]]
 
* [[Lasso Regression]]
 
* [[Elastic Net Regression]]
 
* [[Elastic Net Regression]]
* [[Bayesian Linear Regression]]
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* [[Bayes#Bayesian Linear Regression|Bayesian Linear Regression]]
* [[Bayesian Deep Learning (BDL)]]
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* [[Bayes#Bayesian Deep Learning (BDL)|Bayesian Deep Learning (BDL)]]
 
* [[Logistic Regression (LR)]]
 
* [[Logistic Regression (LR)]]
 
* [[Support Vector Regression (SVR)]]
 
* [[Support Vector Regression (SVR)]]
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== Classification [[...predict categories]] ==
 
== Classification [[...predict categories]] ==
 
* <span id="Supervised"></span>[[Supervised]]
 
* <span id="Supervised"></span>[[Supervised]]
** [[Naive Bayes]]
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** Naive [[Bayes]]
 
** [[K-Nearest Neighbors (KNN)]]
 
** [[K-Nearest Neighbors (KNN)]]
 
** [[Perceptron (P)]] ...and Multi-layer Perceptron (MLP)
 
** [[Perceptron (P)]] ...and Multi-layer Perceptron (MLP)
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* [[Neural Structured Learning (NSL)]]
 
* [[Neural Structured Learning (NSL)]]
  
== Sequence / Time ==
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== Sequence / [[Time]] ==
 
* [[Transformer]]
 
* [[Transformer]]
 
** [[Generative Pre-trained Transformer (GPT)]]
 
** [[Generative Pre-trained Transformer (GPT)]]
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* [[(Tree) Recursive Neural (Tensor) Network (RNTN)]]
 
* [[(Tree) Recursive Neural (Tensor) Network (RNTN)]]
  
=== Time ===
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=== [[Time]] ===
 
* [[Temporal Difference (TD) Learning]]
 
* [[Temporal Difference (TD) Learning]]
 
* Predict values
 
* Predict values
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= Techniques =
 
= Techniques =
 
* [[Math for Intelligence]]
 
* [[Math for Intelligence]]
** [[Statistics for Intelligence]]
 
 
** [[Finding Paul Revere]]
 
** [[Finding Paul Revere]]
 
* [http://www.arxiv-sanity.com/ Arxiv Sanity Preserver] to accelerate research
 
* [http://www.arxiv-sanity.com/ Arxiv Sanity Preserver] to accelerate research
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* [[Local Features]]
 
* [[Local Features]]
 
* [[Loop#Unintended Feedback Loop|Unintended Feedback Loop]]
 
* [[Loop#Unintended Feedback Loop|Unintended Feedback Loop]]
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* [[Backtesting]]
  
 
=== <span id="Learning Techniques"></span>[[Learning Techniques]] ===
 
=== <span id="Learning Techniques"></span>[[Learning Techniques]] ===
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== No Coding ==
 
== No Coding ==
* [[Automated Machine Learning (AML) - AutoML]]
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* [[Algorithm Administration#Automated Learning|Automated Learning]]
 
* [[Neural Architecture]] Search (NAS) Algorithm
 
* [[Neural Architecture]] Search (NAS) Algorithm
 
* [[Other codeless options, Code Generators, Drag n' Drop]]
 
* [[Other codeless options, Code Generators, Drag n' Drop]]
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* [[Notebooks]]; [[Jupyter]] and R Markdown
 
* [[Notebooks]]; [[Jupyter]] and R Markdown
  
=== [[Platforms: Machine Learning as a Service (MLaaS)]] ===
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=== [[Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)]] ===
 
* [[Google]] Cloud Platform (GCP)
 
* [[Google]] Cloud Platform (GCP)
 
* [[Amazon]] AWS  
 
* [[Amazon]] AWS  
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<hr>
 
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[http://www.etsy.com/shop/LittleHouseOnTheBay Little House On The Bay Soaps]
 
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<hr>
  
  
  
 
If you get a 502 or 503 error please try the webpage again, as your message is visiting the island which the server is located, perhaps deciding to relax in the Sun before returning. Thank you.
 
If you get a 502 or 503 error please try the webpage again, as your message is visiting the island which the server is located, perhaps deciding to relax in the Sun before returning. Thank you.

Revision as of 22:41, 1 December 2020

On Friday March 29, 2024 PRIMO.ai has 733 pages

Getting Started

Overview

Background

AI Breakthroughs

AI Fun

.. more Natural Language Processing (NLP) fun...

How to...

Forward Thinking

Information Analysis

Algorithms

Predict values - Regression

Classification ...predict categories

Recommendation

Clustering - Continuous - Dimensional Reduction

Hierarchical

Convolutional

Deconvolutional

Graph

- includes social networks, sensor networks, the entire Internet, 3D Objects (Point Cloud)

Sequence / Time

Time

Spatialtemporal

Spatial-Temporal Dynamic Network (STDN)

Competitive

Semi-Supervised

In many practical situations, the cost to label is quite high, since it requires skilled human experts to do that. So, in the absence of labels in the majority of the observations but present in few, semi-supervised algorithms are the best candidates for the model building. These methods exploit the idea that even though the group memberships of the unlabeled data are unknown, this data carries important information about the group parameters. Reference: Learning Techniques

Natural Language

  • Natural Language Processing (NLP) involves speech recognition, (speech) translation, understanding (semantic parsing) complete sentences, understanding synonyms of matching words, and sentiment analysis

Reinforcement Learning (RL)

an algorithm receives a delayed reward in the next time step to evaluate its previous action. Therefore based on those decisions, the algorithm will train itself based on the success/error of output. In combination with Neural Networks it is capable of solving more complex tasks. Policy Gradient (PG) methods are a type of reinforcement learning techniques that rely upon optimizing parametrized policies with respect to the expected return (long-term cumulative reward) by gradient descent.

Neuro-Symbolic

the “connectionists” seek to construct artificial neural networks, inspired by biology, to learn about the world, while the “symbolists” seek to build intelligent machines by coding in logical rules and representations of the world. Neuro-Symbolic combines the fruits of group.

Other

Techniques

Methods & Concepts

Learning Techniques

Opportunities & Challenges

Development & Implementation

No Coding

Coding

Libraries & Frameworks

TensorFlow

Tooling

Platforms: AI/Machine Learning as a Service (AIaaS/MLaaS)

... and other leading organizations



Little House On The Bay Soaps



If you get a 502 or 503 error please try the webpage again, as your message is visiting the island which the server is located, perhaps deciding to relax in the Sun before returning. Thank you.