Difference between revisions of "Visualization"
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* [http://www.infoq.com/presentations/ml-dl-visualization Understanding ML/DL Models using Interactive Visualization Techniques | Chakri Cherukuri] | * [http://www.infoq.com/presentations/ml-dl-visualization Understanding ML/DL Models using Interactive Visualization Techniques | Chakri Cherukuri] | ||
* [http://mode.com/blog/python-interactive-plot-libraries 5 Python Libraries for Creating Interactive Plots | Melissa Bierly | Mode] | * [http://mode.com/blog/python-interactive-plot-libraries 5 Python Libraries for Creating Interactive Plots | Melissa Bierly | Mode] | ||
| + | * [http://machinelearningmastery.com/data-visualization-methods-in-python/ A Gentle Introduction to Data Visualization Methods in Python | Jason Brownlee - Machine Learning Mastery] | ||
* [[Data Flow Graph (DFG)]] | * [[Data Flow Graph (DFG)]] | ||
* [[Explainable Artificial Intelligence (XAI)]] | * [[Explainable Artificial Intelligence (XAI)]] | ||
Revision as of 10:04, 8 December 2019
YouTube search... ...Google search
- Tools:
- The Five Best Data Visualization Libraries | Lio Fleishman, Sisense
- 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
- 5 Python Libraries for Creating Interactive Plots | Melissa Bierly | Mode
- A Gentle Introduction to Data Visualization Methods in Python | Jason Brownlee - Machine Learning Mastery
- Data Flow Graph (DFG)
- Explainable Artificial Intelligence (XAI)
- (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
- Datasets
- Batch Norm(alization) & Standardization
- Data Preprocessing
- Feature Exploration/Learning
- Hyperparameters
- Data Augmentation
- Master Data Management (MDM) / Feature Store / Data Lineage / Data Catalog
- Feature Exploration/Learning
- Graphical Tools for Modeling AI Components
