Difference between revisions of "Visualization"
m |
m |
||
| Line 21: | Line 21: | ||
* [[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]] | * [[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]] | ||
| + | * [[Algorithm Administration#Hyperparameter|Hyperparameter]]s | ||
| + | * [[Predictive Analytics]] ... [[Operations & Maintenance|Predictive Maintenance]] ... [[Forecasting]] ... [[Market Trading]] ... [[Sports Prediction]] ... [[Marketing]] ... [[Politics]] ... [[Excel#Excel - Forecasting|Excel]] | ||
| + | * [[Graph]] | ||
| + | ** [[Data Flow Graph (DFG)]] | ||
| + | ** [[Graphical Tools for Modeling AI Components]] | ||
* Tools: | * Tools: | ||
| + | ** [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database|Database; Vector & Relational]] ... [[Graph]] ... [[LlamaIndex]] | ||
** [[Python#Visualization with Python |Visualization with Python]] | ** [[Python#Visualization with Python |Visualization with Python]] | ||
** [https://ai.google/research/teams/brain/pair Google: People + AI Research (PAIR)] | ** [https://ai.google/research/teams/brain/pair Google: People + AI Research (PAIR)] | ||
| Line 70: | Line 76: | ||
* [https://www.infoq.com/presentations/ml-dl-visualization Understanding ML/DL Models using Interactive Visualization Techniques | Chakri Cherukuri] | * [https://www.infoq.com/presentations/ml-dl-visualization Understanding ML/DL Models using Interactive Visualization Techniques | Chakri Cherukuri] | ||
* [https://machinelearningmastery.com/data-visualization-methods-in-python/ A Gentle Introduction to Data Visualization Methods in Python | Jason Brownlee - Machine Learning Mastery] | * [https://machinelearningmastery.com/data-visualization-methods-in-python/ A Gentle Introduction to Data Visualization Methods in Python | Jason Brownlee - Machine Learning Mastery] | ||
| − | + | ||
| − | |||
| − | |||
* [[Singularity]] ... [[Artificial Consciousness / Sentience|Sentience]] ... [[Artificial General Intelligence (AGI)| AGI]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ... [[Algorithm Administration#Automated Learning|Automated Learning]] | * [[Singularity]] ... [[Artificial Consciousness / Sentience|Sentience]] ... [[Artificial General Intelligence (AGI)| AGI]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ... [[Algorithm Administration#Automated Learning|Automated Learning]] | ||
* [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | * [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | ||
| Line 91: | Line 95: | ||
*** [[Privacy]] in Data Science | *** [[Privacy]] in Data Science | ||
*** [[Data Interoperability]] | *** [[Data Interoperability]] | ||
| − | |||
| − | |||
* [https://bookdown.org/max/FES/exploratory-visualizations.html Feature Engineering and Selection: A Practical Approach for Predictive Models - 4 Exploratory Visualizations | Max Kuhn and Kjell Johnson] | * [https://bookdown.org/max/FES/exploratory-visualizations.html Feature Engineering and Selection: A Practical Approach for Predictive Models - 4 Exploratory Visualizations | Max Kuhn and Kjell Johnson] | ||
Revision as of 06:24, 29 August 2023
YouTube ... Quora ...Google search ...Google News ...Bing News
- Analytics ... Visualization ... Graphical Tools ... Diagrams & Business Analysis ... Requirements ... Loop ... Bayes ... Network Pattern
- Hyperparameters
- Predictive Analytics ... Predictive Maintenance ... Forecasting ... Market Trading ... Sports Prediction ... Marketing ... Politics ... Excel
- Graph
- Tools:
- Excel ... Documents ... Database; Vector & Relational ... Graph ... LlamaIndex
- Visualization with Python
- Google: People + AI Research (PAIR)
- TensorBoard | Google
- TensorFlow Playground | Google
- Facets | Google
- Projector.TensorFlow.org] | Google ...3D visualization of search queries
- Visualize Keras Models with One Line of Code | Lukas & Jeff - Weights & Biases
- Visual DL
- Netron
- Yellowbrick
- CNNVis
- 3D Visualization of a Convolutional Neural Network (CNN)
- ANN Visualizer
- displaCy
- The Five Best Data Visualization Libraries | Lio Fleishman, Sisense
- 5 Python Libraries for Creating Interactive Plots | Melissa Bierly | Mode
- The 9 Best Analytics Tools For Data Visualization Available Today and The 10 Best Data Analytics And BI Platforms And Tools In 2020 | Bernard Marr - Forbes
- Data Visualization for Artificial Intelligence, and Vice Versa | Nicolas Kruchten
- Overview of Model Visualization Architecture and Types | XenonStack
- Understanding ML/DL Models using Interactive Visualization Techniques | Chakri Cherukuri
- A Gentle Introduction to Data Visualization Methods in Python | Jason Brownlee - Machine Learning Mastery
- Singularity ... Sentience ... AGI ... Curious Reasoning ... Emergence ... Moonshots ... Explainable AI ... Automated Learning
- (Deep) Convolutional Neural Network (DCNN/CNN)
- Multifaceted feature visualization: Uncovering the different types of features learned by each neuron in deep neural networks. Visualization for Deep Learning workshop | Nguyen A, Yosinski J, Clune J, 2016
- Identifying core functional networks and functional modules within artificial neural networks via subsets regression | Velez R, Clune J, 2016
- The Simpsons meets Data Visualization | Adam Reevesman -Towards Data Science
- 3D Simulation Environments
- Data Science
- Feature Engineering and Selection: A Practical Approach for Predictive Models - 4 Exploratory Visualizations | Max Kuhn and Kjell Johnson
Visualization with Python
Shan Carter
