SKU: 51824429654

ARTIFICIAL INTELLIGENCE TOOLS: CLUSTERING AND PATTERN RECOGNITION WITH NEURAL NETWORKS.

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ARTIFICIAL INTELLIGENCE TOOLS: CLUSTERING AND PATTERN RECOGNITION WITH NEURAL NETWORKS.Artificial Intelligence combines mathematical algorithms and techniques from Machine Learning, Deep Learning and Big Data to extract the knowledge contained in the data and present it in an understandable and automatic way. Neural networks and their applications are a fundamental tool to develop work in Artificial Intelligence. The availability of large volumes of data and the generalized use of computer tools has transformed research and data

Artificial Intelligence combines mathematical algorithms and techniques from Machine Learning, Deep Learning and Big Data to extract the knowledge contained in the data and present it in an understandable and automatic way. Neural networks and their applications are a fundamental tool to develop work in Artificial Intelligence. The availability of large volumes of data and the generalized use of computer tools has transformed research and data analysis, orienting it towards certain specialized techniques encompassed under the generic name of Analytics that includes Multivariate Data Analysis (MDA), Data Mining, Machine Learning and other Business Intelligence techniques. Data Mining (or Machine Learning) can be defined as a process of discovering new and significant relationships, patterns and trends when examining large amounts of data. The techniques of Data Mining pursue the automatic discovery of the knowledge contained in the information stored in an orderly manner in large databases. These techniques aim to discover patterns, profiles and trends through the analysis of data using advanced statistical techniques of multivariate data analysis. Data Mining an Machine Learning uses two types of techniques: predictive techniques (supervised learnig techniques) , which trains a model on known input and output data so that it can predict future outputs, and descriptive techniques (unsupervised learning techniques), which finds hidden patterns or intrinsic structures in input data. Descriptive techniques finds hidden patterns or intrinsic structures in data. It is used to draw inferences from datasets consisting of input data without labeled responses. Clustering is the most common descriptive technique. It is used for exploratory data analysis to find hidden patterns or groupings in data. Applications for clustering include gene sequence analysis, market research, and object recognition. This book develops classification descriptive techniques with neural networks.

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SKU: 51824429654

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DUANE SMALLS
Los Angeles, US
★★★★★ 5
Beautiful
Color: Royal Blue Gold, Size: Large
Very beautiful outfit just a bit small for hubby I returned but wil get one size up
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Reviewed in the United States on February 13, 2026
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Yaniuska
Grantham, US
★★★★★ 5
5/5
Color: Black Gold, Size: X-Large
This outfit was a gift for a friend. She always wears it when she has important events related to her association. The fabric is very lightweight, but it isn't see-through. Recommended.
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Reviewed in the United States on April 8, 2026
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Adama Kamara
Grantham, US
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Color: White Royal Blue, Size: Medium
Nice but run small
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Reviewed in the United States on May 27, 2026
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GERALD
Waukegan, US
★★★★★ 5
Price is very reasonable
Color: White Gold, Size: Large
It was Awesome! And it look great on me, lol..
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Reviewed in the United States on February 28, 2026
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Amazon Customer
Massapequa, US
★★★★★ 5
I would refer it to anybody to purchase.
Color: Indigo Blue, Size: X-Large
it my friend perfect! Great quality and affordable price.
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Reviewed in the United States on February 21, 2026

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