Talk:Timeline of machine learning
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Extended timeline
| Year | Event Type | Caption | Event |
|---|---|---|---|
| 1996 (October 10) | Software release | Orange data mining software | Orange is released by the University of Ljubljana. It is a visual programming language and integrated development environment (IDE) for data mining and machine learning. |
| 2002 | Software release | Dlib library | Computer vision and machine learning library Dlib is first released by Davis King. It is a popular choice for developing facial recognition, object detection, and image processing applications. |
| 2006 | Software release | RapidMiner | RapidMiner is released as a data mining and machine learning platform designed for analytics workflows and predictive modeling. |
| 2009 (April 7) | Software release | Apache Mahout | Apache Mahout is first released.[1] |
| 2010 (May 20) | Software release | Accord.NET framework | Accord.NET is initially released.[2] |
| 2014 | System | Sibyl machine learning platform | Researchers from Google detail their work on Sibyl,[3] a proprietary platform for massively parallel machine learning used internally by Google to make predictions about user behavior and provide recommendations.[4] |
| 2015 | "ResNet (2015) - This was a major advancement in CNNs, and more information can be found on the Introduction to CNNs page."[5] | ||
| 2015 | "U-net (2015) - This is an CNN architecture specialised in biomedical image segmentation. It introduced an equal amount of upsampling and downsampling layers, and also skip connections. More information on what this means can be found on the Semantic Segmentation page."[5] | ||
| 2015 (November 30) | Rnn (software) is released. | ||
| 2016 (January 25) | Software release | Microsoft Cognitive Toolkit | Microsoft Cognitive Toolkit is initially released. It is an AI solution aimed at helping users to advance in their machine learning projects.[6] |
| 2017 (May 1) | Software release | CellCognition Explorer | CellCognition[7][8] |
| 2017 (September 1) | Software release | Encog | |
| 2017 | Software release | PlaidML is released. | |
| 2019 (September 10) | Software release | Deeplearning4j is initially released. | |
| 2019 (November 26) | Software release | mlpack is released.[9] | |
| 2020 (February 5) | Software release | KNIME is released.[10] |
Additional material
- Outline of machine learning
- https://www.techtarget.com/whatis/A-Timeline-of-Machine-Learning-History
- https://www.lightsondata.com/the-history-of-machine-learning/
- https://www.clickworker.com/customer-blog/history-of-machine-learning/
- https://analyticsindiamag.com/the-history-of-machine-learning-algorithms/
- https://www.startechup.com/blog/machine-learning-history/
- https://blog.bccresearch.com/brief-history-of-machine-learning
- https://dataconomy.com/2022/04/27/the-history-of-machine-learning/
- https://www.forbes.com/sites/bernardmarr/2016/02/19/a-short-history-of-machine-learning-every-manager-should-read/?sh=3dfbc88515e7
- https://techcrunch.com/2017/08/08/the-evolution-of-machine-learning/
- https://concisesoftware.com/blog/history-of-machine-learning/
- https://www.linkedin.com/pulse/rise-machine-learning-history-florian-steinig/
- https://labelyourdata.com/articles/history-of-machine-learning-how-did-it-all-start
- https://pandio.com/when-was-machine-learning-invented/
- https://medium.com/@codetain/a-brief-history-of-machine-learning-38f20c155c42
- https://medium.com/bloombench/history-of-machine-learning-7c9dc67857a5
- https://theintactone.com/2021/11/27/history-of-machine-learning/
- https://recro.io/blog/history-of-machine-learning/
- https://www.britannica.com/technology/machine-learning
- https://ifatwww.et.uni-magdeburg.de/ifac2020/media/pdfs/3439.pdf
- https://people.idsia.ch/~juergen/deep-learning-history.html
- https://www.researchgate.net/figure/History-of-machine-learning_fig1_366424883
- https://www.bvp.com/atlas/the-evolution-of-machine-learning-infrastructure
- https://www.securityinfowatch.com/cybersecurity/article/21114214/a-brief-history-of-machine-learning-in-cybersecurity
- https://builtin.com/artificial-intelligence/deep-learning-history
- https://www.interactions.com/blog/technology/history-machine-learning/
- https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.14061
- https://ourworldindata.org/brief-history-of-ai
- Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2021 | Simplilearn
- ↑ "Apache Mahout". people.apache.org. Retrieved 9 March 2020.
- ↑ "Accord.NET Framework – An extension to AForge.NET". crsouza.com/. Retrieved 9 March 2020.
- ↑ Canini, Kevin; Chandra, Tushar; Ie, Eugene; McFadden, Jim; Goldman, Ken; Gunter, Mike; Harmsen, Jeremiah; LeFevre, Kristen; Lepikhin, Dmitry; Llinares, Tomas Lloret; Mukherjee, Indraneel; Pereira, Fernando; Redstone, Josh; Shaked, Tal; Singer, Yoram. "Sibyl: A system for large scale supervised machine learning" (PDF). Jack Baskin School Of Engineering. UC Santa Cruz. Retrieved 8 June 2016.
- ↑ Woodie, Alex (17 July 2014). "Inside Sibyl, Google's Massively Parallel Machine Learning Platform". Datanami. Tabor Communications. Retrieved 8 June 2016.
- ↑ 5.0 5.1 Cite error: Invalid
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<ref>tag; no text was provided for refs namedSharing is Caring with Algorithms - ↑ "CellCognition Explorer". software.cellcognition-project.org. Retrieved 8 March 2020.
- ↑ "A deep learning and novelty detection framework for rapid phenotyping in high-content screening". doi:10.1091/mbc.E17-05-0333. PMC 5687041. PMID 28954863.
{{cite journal}}: Cite journal requires|journal=(help) - ↑ "mlpack". pypi.org. Retrieved 8 March 2020.
- ↑ "KNIME". knime.com. Retrieved 8 March 2020.