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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4.4 ★★★★★
Based on 18 reviews
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Daniel Hatch
New York, US
★★★★★ 4
Helpful
Format: Paperback
This is a nice compliment to other classroom instruction materials. I am teaching an advanced pathophysiology course in a nurse practitioner program. This book is very helpful for students to put together the concepts of patho with the clinical setting. Will use these for in-class group assignments. Case-studies are thorough and offer a variety of different disease processes to choose from. It certainly does not offer a case study for every possible disease or clinical scenario, but does cover most major areas and enough variety in my opinion. Should be helpful in reinforcing the clinical significance of some difficult to understand concepts. I would recommend this text to course instructors.
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Reviewed in the United States on August 5, 2013
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Verified Purchase
Sandy Fitzsimmons
Carnegie, US
★★★★★ 5
As promised
Format: Paperback
Accurate product, no damage or marking noticed
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Reviewed in the United States on November 6, 2025
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Verified Purchase
DK
Lowell, US
★★★★★ 5
Good book!
Format: Paperback
Very helpful book for pathophysiology. The CD not only gives you answers to the case studies but gives you clear details of the clinical Pathophysiology of a particular disease. Definitely recommend it to students going for their Master's degree!
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Reviewed in the United States on February 19, 2015
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Verified Purchase
NN
Lake Worth, US
★★★★★ 3
No Answers Provided to Case Studies
Format: Paperback
The cases are helpful; however, realize that there are NO answers whatsoever to the questions presented in the cases--not a huge problem I suppose, b/c you can google everything, but certainly an annoyance. (esp. when there are multiple possible answers. The author states in the foreword that some of the cases are real; in which case, why not provide the justification presented in the patient's chart as to why that patient takes a particular drug, esp. considering that you may take a drug for its side effects rather than its therapeutic effect. . .anyhow. . ) I think if the author provided at least SOME insight/guidance to the cases that it would be much more helpful, but until then, I'm skeptical as to why others gave this book 5 stars.
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Reviewed in the United States on July 23, 2016
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Verified Purchase
Wheels
Charlottesville, US
★★★★★ 5
... for a Patho class and thought it was a great resource. My group had hypertension and it was ...
Format: Paperback
Used this for a Patho class and thought it was a great resource. My group had hypertension and it was really good about giving an overview of the disease without overwhelming you with information. Some of the studies were obvious as to why the disorder occurred but in those cases it helped link body systems and show interactions.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 19, 2015

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