Products related to Validity:
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Property Notices : Validity and Service
Why should you buy Property Notices: Validity and Service third editionThe widely acclaimed Property Notices: Validity and Service provides the definitive account of the law relating to property notices.It contains a clear and practical guide to the legal principles governing whether a property notice is valid and whether it has been properly served.The importance of those principles for property lawyers cannot be over-stated: in the field of property law, rights are frequently exercised by the service of a notice and, for the party that has attempted to serve a notice (and perhaps its lawyers), the consequences of a finding that a notice is invalid may be disastrous. Property Notices: Validity and Service is the only work dedicated to this core area of practice and it is essential reading for all property lawyers.
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External Validity and Evidence Accumulation
The accumulation of empirical evidence that has been collected in multiple contexts, places, and times requires a more comprehensive understanding of empirical research than is typically required for interpreting the findings from individual studies.We advance a novel conceptual framework where causal mechanisms are central to characterizing social phenomena that transcend context, place, or time.We distinguish various concepts of external validity, all of which characterize the relationship between the effects produced by mechanisms in different settings.Approaches to evidence accumulation require careful consideration of cross-study features, including theoretical considerations that link constituent studies and measurement considerations about how phenomena are quantifed.Our main theoretical contribution is developing uniting principles that constitute the qualitative and quantitative assumptions that form the basis for a quantitative relationship between constituent studies.We then apply our framework to three approaches to studying general social phenomena: meta-analysis, replication, and extrapolation.
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External Validity and Evidence Accumulation
The accumulation of empirical evidence that has been collected in multiple contexts, places, and times requires a more comprehensive understanding of empirical research than is typically required for interpreting the findings from individual studies.We advance a novel conceptual framework where causal mechanisms are central to characterizing social phenomena that transcend context, place, or time.We distinguish various concepts of external validity, all of which characterize the relationship between the effects produced by mechanisms in different settings.Approaches to evidence accumulation require careful consideration of cross-study features, including theoretical considerations that link constituent studies and measurement considerations about how phenomena are quantifed.Our main theoretical contribution is developing uniting principles that constitute the qualitative and quantitative assumptions that form the basis for a quantitative relationship between constituent studies.We then apply our framework to three approaches to studying general social phenomena: meta-analysis, replication, and extrapolation.
Price: 49.99 £ | Shipping*: 0.00 £ -
Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation
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Which programming language is used for robotics and artificial intelligence?
Python is commonly used for robotics and artificial intelligence due to its simplicity, readability, and extensive libraries for machine learning and robotics. It is also known for its flexibility and ease of integration with hardware, making it a popular choice for developing robotics and AI applications. Additionally, Python's strong community support and active development make it a suitable language for these rapidly evolving fields.
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Is machine learning already artificial intelligence?
Machine learning is a subset of artificial intelligence. It involves training a machine to learn from data and make predictions or decisions without being explicitly programmed to do so. Artificial intelligence, on the other hand, encompasses a broader range of technologies and applications that enable machines to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and solving problems. While machine learning is an important component of artificial intelligence, AI also includes other techniques such as natural language processing, computer vision, and robotics.
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What is the validity of intelligence measurements and what is the correlation between intelligence and success?
The validity of intelligence measurements is a topic of ongoing debate among psychologists and researchers. While intelligence tests can provide valuable insights into an individual's cognitive abilities, they may not capture the full range of human intelligence, such as creativity, emotional intelligence, and practical skills. Additionally, cultural and socioeconomic factors can influence test performance, raising questions about the fairness and accuracy of intelligence measurements. As for the correlation between intelligence and success, research suggests that there is a positive relationship between the two, particularly in academic and professional settings. Individuals with higher intelligence scores tend to perform better in school, have higher earning potential, and achieve greater career success. However, it's important to note that success is influenced by a multitude of factors, including motivation, personality traits, and opportunities, and intelligence is just one piece of the puzzle.
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Is validity a continuous variable?
No, validity is not a continuous variable. Validity refers to the extent to which a test or assessment measures what it is intended to measure. It is typically assessed as either present or absent, rather than existing on a continuous scale. Validity is crucial in ensuring that the results of a test are meaningful and accurate.
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Food Engineering Automation with Robotics and AI
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Artificial Intelligence and Learning Futures : Critical Narratives of Technology and Imagination in Higher Education
Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education explores the implications of artificial intelligence’s adoption in higher education and the challenges to building sustainable instead of dystopic schooling.As AI becomes integral to both pedagogy and profitability in today’s colleges and universities, a critical discourse on these systems and algorithms is urgently needed to push back against their potential to enable surveillance, control, and oppression.This book examines the development, risks, and opportunities inherent to AI in education and curriculum design, the problematic ideological assumptions of intelligence and technology, and the evidence base and ethical imagination required to responsibly implement these learning technologies in a way that ensures quality and sustainability.Leaders, administrators, and faculty as well as technologists and designers will find these provocative and accessible ideas profoundly applicable to their research, decision-making, and concerns.
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Advances in Robotics and Artificial Intelligence
The reality of autonomous machines with artificial intelligence is becoming more real every day.The ability of machines to think and learn fascinates everyone, but now even the most reluctant readers have a chance to engage in learning about the history and future of robotics.This book covers everything from the 18th century French automatons to Ada Lovelace and Alan Turing, from self-driving cars and smart homes to assembly and military robots.Each spread is complimented with vivid artwork that further illuminates the accessible, exciting text.
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Artificial Intelligence And Innovation Management
Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate.It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation).The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions.They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).
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What is the validity coefficient?
The validity coefficient is a statistical measure that quantifies the relationship between a predictor (such as a test or assessment) and a criterion (such as job performance or academic achievement). It indicates the degree to which the predictor is able to accurately predict the criterion. A higher validity coefficient suggests a stronger relationship between the predictor and the criterion, indicating that the predictor is more effective in predicting the criterion. Validity coefficients are commonly used in the field of psychometrics and are important for evaluating the effectiveness of selection tools and assessments.
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What is the question without validity?
A question without validity is one that lacks credibility, evidence, or logical reasoning to support its premise. It may be based on false assumptions, biased information, or flawed arguments. Without validity, the question cannot be relied upon to provide accurate or meaningful insights.
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What is the validity of stamps?
The validity of stamps varies depending on the type of stamp and the postal regulations of the country. In general, most stamps do not expire and can be used indefinitely as long as they have not been used before. However, some countries may have specific regulations regarding the use of older stamps or may issue new designs that are required for certain types of mail. It is always best to check with the postal service or consult their website for the most up-to-date information on the validity of stamps.
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How difficult is a study of robotics and automation?
The study of robotics and automation can be challenging due to its interdisciplinary nature, requiring knowledge in fields such as mechanical engineering, electrical engineering, computer science, and control systems. Additionally, the rapid advancements in technology and the need to stay updated with the latest developments can add to the complexity of the study. However, with dedication, problem-solving skills, and a strong foundation in mathematics and physics, students can overcome these challenges and excel in the field of robotics and automation.
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