- Book
- October 2023
- 592 Pages
- Book
- August 2022
- 272 Pages
- Book
- April 2022
- 352 Pages
- Book
- January 2022
- 400 Pages
- Book
- September 2021
- 368 Pages
- Book
- August 2021
- 320 Pages
- Book
- October 2020
- 544 Pages
- Book
- December 2019
- 672 Pages
- Book
- December 2019
- 672 Pages
- Book
- April 2018
- 320 Pages
- Book
- March 2021
- 352 Pages
The Pattern Recognition market is a subset of Machine Learning and Data Mining, which focuses on the development of algorithms and techniques to recognize patterns in data. Pattern recognition is used to identify objects, classify data, and detect anomalies. It is used in a variety of applications, such as facial recognition, speech recognition, and medical diagnosis.
Pattern recognition algorithms are used to analyze large datasets and extract meaningful information from them. This information can be used to make predictions, detect trends, and identify correlations. Pattern recognition is also used to improve the accuracy of machine learning models.
In the Pattern Recognition market, companies develop algorithms and techniques to recognize patterns in data. These companies also provide services such as data analysis, data visualization, and predictive analytics. Examples of companies in the Pattern Recognition market include IBM, Microsoft, Google, Amazon, and Oracle. Show Less Read more