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Intelligent Informatics - charlie - 30-11-2025
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![[Obrazek: 26306fc178e50ebc3a06bbef3388cece.png]](https://i126.fastpic.org/big/2025/1130/ce/26306fc178e50ebc3a06bbef3388cece.png)
Jiquan Chen | 2022 | ISBN: 1682518507 | English | 326 pages | True PDF | 22 MB [/center]
Data is all around us. The Internet of Things (IoT) and sensors have the ability to harness large volumes of data, while artificial intelligence (Al) can learn patterns in the data to automate tasks for a variety of business benefits. Artificial Intelligence enhances the speed, precision and effectiveness of human efforts. In financial institutions, AI techniques can be used to identify which transactions are likely to be fraudulent, adopt fast and accurate credit scoring, as well as automate manually intense data management tasks. Artificial intelligence is going to change every industry, but we have to understand its limits. The principle limitation of AI is that it learns from the data. There is no other way in which knowledge can be incorporated. That means any inaccuracies in the data will be reflected in the results. And any additional layers of prediction or analysis have to be added separately. Artificial intelligence (AI) has become a technological reality for businesses and organizations across industries. Even if its benefits may not be always easy to quantify, Al has proven itself capable of improving process efficiency, reducing human errors and labor, and extracting insights from big data.
Intelligence and security informatics (ISI) is an emerging field of study aimed at developing advanced information technologies, systems, algorithms, and databases for national -and homeland-security-related applications, through an integrated technological, organizational, and policy-based approach. This book summarizes the broad application and policy context for this emerging field. On a smaller scale, AI has made it into many people's lives in one form or another, even if its presence is not always recognized. To better understand the state of AI, let's take a closer look at the role AI plays in business and in many people's lives even as we speak. It will cover fundamental principles and algorithms of intelligent informatics. It also deals with understand the data collection, data integration, data cleansing, data representation, model construction, model selection, model averaging, model evaluation, and model interpretation components in intelligent informatics.
Cytat:https://rapidgator.net/file/3181f08fd65c2d976b4d3d82d852b8e2/Intelligent_Informatics.pdf.html
https://nitroflare.com/view/262D9E140154327/Intelligent_Informatics.pdf