Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
MACHINE LEARNING IN HEALTH CARE DIAGNOSIS AND PROGNOSIS
In the discipline of healthcare informatics, the study of how data relevant to healthcare may be obtained, transmitted, processed, stored, and retrieved is known as the study of how data can be gathered, transferred, processed, stored, and retrieved. In this area of study, early sickness prevention, early illness detection, early illness diagnosis, and early illness therapy are all crucial components. The only kinds of data that are regarded credible in the field of healthcare informatics are those that pertain to diseases, patient histories, and the computer operations that are necessary in order to analyze this data. Over the course of the past two decades, conventional medical practices a...
INTERPRETABLE AI: TECHNIQUES FOR MAKING MACHINE LEARNING MODELS TRANSPARENT
The capacity to understand and have trust in the results generated by models is one of the distinguishing characteristics of high-quality scientific research. Because of the significant impact that models and the outcomes of modeling will have on both our work and our personal lives, it is imperative that we have a solid understanding of models and have faith in the results of modeling. This is something that should be kept in mind by analysts, engineers, physicians, researchers, and scientists in general. Many years ago, picking a model that was transparent to human practitioners or customers often meant selecting basic data sources and simpler model forms such as linear models, single deci...
IOT SECURITY: SECURING THE INTERNET OF THINGS DEVICES AND NETWORKS
Organizations are basically required to be completely satisfied with the security risks before integrating Internet of Things (IoT) in an existing system or constructing an entirely new system. This is the case regardless of whether the system is being developed from scratch or already in existence. As a consequence of this, the parties who offer solutions for the Internet of Things have a significant amount of trouble in establishing their reputation in the field of technology. Because every business has its own distinct approach to visualizing and conceptualizing the deployment of the Internet of Things, this leads to a rise in anxiety and a lack of trust in the appropriateness of security...
BLOCKCHAIN AND THE INTERNET OF THINGS (IOT): A CONVERGENCE OF TECHNOLOGIES
The Internet of Things (IoT) is a technology that enables a network of physical items (things) to sense physical events, transmit data, and interact with their environment in order to make decisions or monitor certain processes and occurrences without the need for human contact. This may be accomplished through the use of the internet. The desire to make it simpler to collect data in real time and to offer automatic and remotecontrol mechanisms as a substitute for the conventional monitoring and control systems used in many sectors today was one of the most significant reasons for the development of IoT systems. This goal has been one of the most important reasons for the development of IoT...
MACHINE LEARNING FOR CYBER SECURITY DETECTING ANOMALIES AND INSTRUSIONS
Because the Internet is so widespread in modern life and because of the expansion of technologies that are tied to it, such as smart cities, self-driving cars, health monitoring via wearables, and mobile banking, a growing number of people are becoming reliant on and addicted to the Internet. In spite of the fact that these technologies provide a great deal of improvement to individuals and communities, they are not without their fair share of concerns. By way of illustration, hackers have the ability to steal from or disrupt companies, therefore inflicting damage to people all across the world, if they exploit weaknesses. As a consequence of cyberattacks, businesses can face financial losse...
SUPERVISED LEARNING ALGORITHMS CLASSIFICATION AND REGRESSION ALGORITHMS
The branch of computer science known as machine learning is one of the subfields that is increasing at one of the fastest rates now and has various potential applications. The technique of automatically locating meaningful patterns in vast volumes of data is referred to as pattern recognition. It is possible to provide computer programs the ability to learn and adapt in response to changes in their surroundings via the use of tools for machine learning. As a consequence of machine learning being one of the most essential components of information technology, it has therefore become a highly vital, though not always visible, component of our day-to-day life. As the amount of data that is beco...
MACHINE LEARNING INTERPRETABILITY: EXPLAINING AI MODELS TO HUMANS
Within the ever-evolving realm of artificial intelligence (AI), the field of Machine Learning Interpretability (MLI) has surfaced as a crucial conduit, serving as a vital link between the intricate nature of sophisticated AI models and the pressing necessity for lucid decision-making procedures in practical scenarios. With the progressive integration of AI systems across various domains, ranging from healthcare to finance, there arises an escalating need for transparency and accountability concerning the operational mechanisms of these intricate models. The pursuit of interpretability in machine learning is of paramount importance in comprehending the enigmatic essence of artificial intellig...
Al-Muwaṭṭaʾ, the Royal Moroccan Edition
The first written treatise of Islamic law, Imam Mālik's 8th century CE Muwaṭṭaʾ provides an unparalleled window into the lives, rituals, laws, and customs of Medina's early Muslim community. Based on the 2013 Muwaṭṭaʾ, The Royal Moroccan Edition, this translation with extensive notes makes this early legal text widely accessible.
