Difference between revisions of "Visualization"
m |
m |
||
| Line 65: | Line 65: | ||
* [http://towardsdatascience.com/the-simpsons-meets-data-visualization-ef8ef0819d13 The Simpsons meets Data Visualization | Adam Reevesman -Towards Data Science] | * [http://towardsdatascience.com/the-simpsons-meets-data-visualization-ef8ef0819d13 The Simpsons meets Data Visualization | Adam Reevesman -Towards Data Science] | ||
* [[3D Simulation Environments]] | * [[3D Simulation Environments]] | ||
| − | * [[ | + | * [[Data Science]] |
| − | * [[Batch Norm(alization) & Standardization]] | + | ** [[Data Governance]] |
| − | * [[ | + | *** [[Benchmarks]] |
| − | * [[Feature | + | *** [[Data Preprocessing]] |
| − | * [[ | + | **** [[Feature Exploration/Learning]] ...inspection, data profiling, selection |
| + | **** [[Data Quality]] ...[[AI Verification and Validation|validity]], accuracy, [[Data Quality#Data Cleaning|cleaning]], completeness, consistency, uniformity, [[Data Quality#Data Encoding|encoding]], [[Data Quality#Zero Padding|padding]], [[Data Quality#Data Augmentation, Data Labeling, and Auto-Tagging|augmentation, labeling, auto-tagging]], [[Data Quality#Batch Norm(alization) & Standardization| normalization, standardization]], and [[Data Quality#Imbalanced Data|imbalanced data]] | ||
| + | *** [[Bias and Variances]] | ||
| + | *** [[Master Data Management (MDM) / Feature Store / Data Lineage / Data Catalog]] | ||
| + | **** [[Natural Language Processing (NLP)#Managed Vocabularies |Managed Vocabularies]] | ||
| + | **** [[Datasets]] | ||
| + | *** [[Privacy in Data Science]] | ||
| + | *** [[Data Interoperability]] | ||
| + | *** [[Excel - Data Analysis]] | ||
| + | * [[Visualization]] | ||
* [[Hyperparameter]]s | * [[Hyperparameter]]s | ||
| − | |||
| − | |||
| − | |||
* [[Graphical Tools for Modeling AI Components]] | * [[Graphical Tools for Modeling AI Components]] | ||
* [http://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] | * [http://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 20:42, 19 September 2020
YouTube search... ...Google search
- Explainable Artificial Intelligence (XAI)
- Tools:
- 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
- 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
- Data Science
- Data Governance
- Benchmarks
- Data Preprocessing
- Feature Exploration/Learning ...inspection, data profiling, selection
- Data Quality ...validity, accuracy, cleaning, completeness, consistency, uniformity, encoding, padding, augmentation, labeling, auto-tagging, normalization, standardization, and imbalanced data
- Bias and Variances
- Master Data Management (MDM) / Feature Store / Data Lineage / Data Catalog
- Privacy in Data Science
- Data Interoperability
- Excel - Data Analysis
- Data Governance
- Visualization
- Hyperparameters
- Graphical Tools for Modeling AI Components
- Feature Engineering and Selection: A Practical Approach for Predictive Models - 4 Exploratory Visualizations | Max Kuhn and Kjell Johnson
Visualization with Python
Python & Excel
Shan Carter
