Difference between revisions of "Visualization"
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|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 | ||
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− | [ | + | [https://www.youtube.com/results?search_query=TensorBoard+VisualDL+Netron+Feature+deep+Visualization+~tool+ai YouTube search...] |
− | [ | + | [https://www.google.com/search?q=Best+AI+model+Tools+VisualDL+Netron+PAIR+Feature+Visualization+deep+machine+learning+ML+ai ...Google search] |
* [[Analytics]] | * [[Analytics]] | ||
* Tools: | * Tools: | ||
** [[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)] |
*** [[TensorBoard]] | [[Google]] | *** [[TensorBoard]] | [[Google]] | ||
*** [[TensorFlow Playground]] | [[Google]] | *** [[TensorFlow Playground]] | [[Google]] | ||
*** [[Google Facets | Facets]] | [[Google]] | *** [[Google Facets | Facets]] | [[Google]] | ||
− | *** [ | + | *** [https://projector.tensorflow.org/ Projector.TensorFlow.org]] | [[Google]] ...3D visualization of search queries |
− | ** [ | + | ** [https://www.wandb.com/articles/visualize-keras-models-with-one-line-of-code Visualize Keras Models with One Line of Code | Lukas & Jeff - Weights & Biases] |
− | ** [ | + | ** [https://visualdl.paddlepaddle.org/ Visual DL] |
− | ** [ | + | ** [https://pypi.org/project/netron/ Netron] |
− | ** [ | + | ** [https://www.scikit-yb.org/en/latest/ Yellowbrick] |
− | ** [ | + | ** [https://shixialiu.com/publications/cnnvis/demo/ CNNVis] |
− | ** [ | + | ** [https://scs.ryerson.ca/~aharley/vis/conv/ 3D Visualization of a Convolutional Neural Network (CNN)] |
− | ** [ | + | ** [https://github.com/Prodicode/ann-visualizer ANN Visualizer] |
− | ** [ | + | ** [https://explosion.ai/demos/displacy displaCy] |
− | * [ | + | * [https://www.kdnuggets.com/2019/01/five-best-data-visualization-libraries.html The Five Best Data Visualization Libraries | Lio Fleishman, Sisense] |
** [[Javascript#D3.js|D3.js]] | ** [[Javascript#D3.js|D3.js]] | ||
− | ** [ | + | ** [https://uber.github.io/react-vis/documentation/welcome-to-react-vis React-vis] |
− | ** [ | + | ** [https://www.chartjs.org/ Chart.js] |
− | ** [ | + | ** [https://github.com/hshoff/vx VX] |
− | ** [ | + | ** [https://recharts.org/en-US/ Recharts] |
− | * [ | + | * [https://mode.com/blog/python-interactive-plot-libraries 5 Python Libraries for Creating Interactive Plots | Melissa Bierly | Mode] |
** [[Python#mpld3| mpld]] | ** [[Python#mpld3| mpld]] | ||
** [[Python#Pygal| Pygal]] | ** [[Python#Pygal| Pygal]] | ||
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** [[Python#HoloViews| HoloViews]] | ** [[Python#HoloViews| HoloViews]] | ||
** [[Python#Plotly Chart Studio| Plotly]] | ** [[Python#Plotly Chart Studio| Plotly]] | ||
− | * [ | + | * [https://www.forbes.com/sites/bernardmarr/2020/05/22/the-9-best-analytics-tools-for-data-visualization-available-today/#58e225734743 The 9 Best Analytics Tools For Data Visualization Available Today] and [https://www.forbes.com/sites/bernardmarr/2020/06/05/the-10-best-data-analytics-and-bi-platforms-and-tools-in-2020/#2281980e560d The 10 Best Data Analytics And BI Platforms And Tools In 2020 | Bernard Marr - Forbes] |
− | ** [ | + | ** [https://powerbi.microsoft.com/ PowerBI] |
− | ** [ | + | ** [https://www.tableau.com/ Tableau] [https://public.tableau.com/s/ Public] |
− | ** [ | + | ** [https://www.qlik.com/us/ QlikSense] |
− | ** [ | + | ** [https://www.dundas.com/ Dundas BI] |
− | ** [ | + | ** [https://infogram.com/ Infogram] |
− | ** [ | + | ** [https://developers.google.com/chart Google Charts] |
− | ** [ | + | ** [https://looker.com/product/visualizations Looker] |
− | ** [ | + | ** [https://www.paraview.org/ Paraview (open source)] |
− | ** [ | + | ** [https://www.office.com/ Excel] |
− | ** [ | + | ** [https://www.oracle.com/uk/business-analytics/analytics-cloud.html Oracle Analytics Cloud] |
− | ** [ | + | ** [https://www.ibm.com/uk-en/products/cognos-analytics IBM Cognos Analytics] |
− | ** [ | + | ** [https://www.thoughtspot.com/ ThoughtSpot] |
− | ** [ | + | ** [https://spark.apache.org/ Apache Spark] |
− | ** [ | + | ** [https://www.sisense.com/ Sisense] |
− | ** [ | + | ** [https://www.talend.com/ Talend] |
− | ** [ | + | ** [https://www.salesforce.com/ Salesforce Einstein Analytics] |
− | ** [ | + | ** [https://www.sas.com/en_gb/software/viya.html SAS Viya] |
− | * [ | + | * [https://medium.com/@plotlygraphs/data-visualization-for-artificial-intelligence-and-vice-versa-a38869065d88 Data Visualization for Artificial Intelligence, and Vice Versa | Nicolas Kruchten] |
− | * [ | + | * [https://www.xenonstack.com/insights/what-is-model-visualization/ Overview of Model Visualization Architecture and Types | XenonStack] |
− | * [ | + | * [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] |
* [[Graph]] | * [[Graph]] | ||
** [[Data Flow Graph (DFG)]] | ** [[Data Flow Graph (DFG)]] | ||
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* [[Explainable / Interpretable AI]] | * [[Explainable / Interpretable AI]] | ||
* [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | * [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | ||
− | * [ | + | * [https://www.evolvingai.org/files/mfv_icml_workshop_16.pdf 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 |
− | * [ | + | * [https://www.evolvingai.org/files/2016-VelezClune-SRC.pdf Identifying core functional networks and functional modules within artificial neural networks via subsets regression | Velez R, Clune J], 2016 |
− | * [ | + | * [https://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]] | * [[Data Science]] | ||
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*** [[Excel - Data Analysis]] | *** [[Excel - Data Analysis]] | ||
* [[Algorithm Administration#Hyperparameter|Hyperparameter]]s | * [[Algorithm Administration#Hyperparameter|Hyperparameter]]s | ||
− | * [ | + | * [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] |
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== <span id="Python with Excel"></span>[[Python#Python & Excel| Python & Excel]] == | == <span id="Python with Excel"></span>[[Python#Python & Excel| Python & Excel]] == | ||
− | * [ | + | * [https://www.derricksherrill.com/tutorial/pandas/andrews-curve/ Clustering Multi Variable Excel Data with Andrew's Curve - Python Data Visualization Tools | Derrick Sherrill] |
<youtube>eVwqIFf4eIY</youtube> | <youtube>eVwqIFf4eIY</youtube> | ||
<youtube>hSc4ErJk33A</youtube> | <youtube>hSc4ErJk33A</youtube> | ||
Line 119: | Line 119: | ||
= Shan Carter = | = Shan Carter = | ||
− | * [ | + | * [https://vimeo.com/32476954 Shan Carter at Data Vis Meetup - video @ Vimeo] |
<youtube>0JtyeipXYmM</youtube> | <youtube>0JtyeipXYmM</youtube> | ||
<youtube>jlZsgUZaIyY</youtube> | <youtube>jlZsgUZaIyY</youtube> | ||
<youtube>ru9dXF04iSE</youtube> | <youtube>ru9dXF04iSE</youtube> |
Revision as of 21:02, 28 January 2023
YouTube search... ...Google search
- Analytics
- 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
- Graph
- Explainable / Interpretable AI
- (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
- Hyperparameters
- 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