Difference between revisions of "Visualization"
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** [[Python#Plotly Chart Studio| Plotly]] | ** [[Python#Plotly Chart Studio| Plotly]] | ||
* [http://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 | Bernard Marr - Forbes] | * [http://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 | Bernard Marr - Forbes] | ||
| + | * [http://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] | ||
** [http://powerbi.microsoft.com/ PowerBI] | ** [http://powerbi.microsoft.com/ PowerBI] | ||
** [http://www.tableau.com/ Tableau] [http://public.tableau.com/s/ Public] | ** [http://www.tableau.com/ Tableau] [http://public.tableau.com/s/ Public] | ||
| Line 45: | Line 46: | ||
** [http://www.paraview.org/ Paraview (open source)] | ** [http://www.paraview.org/ Paraview (open source)] | ||
** [http://www.office.com/ Excel] | ** [http://www.office.com/ Excel] | ||
| + | ** [http://www.oracle.com/uk/business-analytics/analytics-cloud.html Oracle Analytics Cloud] | ||
| + | ** [http://www.ibm.com/uk-en/products/cognos-analytics IBM Cognos Analytics] | ||
| + | ** [http://www.thoughtspot.com/ ThoughtSpot] | ||
| + | ** [http://spark.apache.org/ Apache Spark] | ||
| + | ** [http://www.sisense.com/ Sisense] | ||
| + | ** [http://www.talend.com/ Talend] | ||
| + | ** [http://www.salesforce.com/ Salesforce Einstein Analytics] | ||
| + | ** [http://www.sas.com/en_gb/software/viya.html SAS Viya] | ||
* [http://medium.com/@plotlygraphs/data-visualization-for-artificial-intelligence-and-vice-versa-a38869065d88 Data Visualization for Artificial Intelligence, and Vice Versa | Nicolas Kruchten] | * [http://medium.com/@plotlygraphs/data-visualization-for-artificial-intelligence-and-vice-versa-a38869065d88 Data Visualization for Artificial Intelligence, and Vice Versa | Nicolas Kruchten] | ||
* [http://www.xenonstack.com/insights/what-is-model-visualization/ Overview of Model Visualization Architecture and Types | XenonStack] | * [http://www.xenonstack.com/insights/what-is-model-visualization/ Overview of Model Visualization Architecture and Types | XenonStack] | ||
Revision as of 08:03, 5 June 2020
YouTube search... ...Google search
- Tools:
- 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 | Bernard Marr - Forbes
- 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
- 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
- Feature Engineering and Selection: A Practical Approach for Predictive Models - 4 Exploratory Visualizations | Max Kuhn and Kjell Johnson
