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Intermediate C Programming
Revised for a new second edition, Intermediate C Programming provides a stepping-stone for intermediate-level students to go from writing short programs to writing real programs well.It shows students how to identify and eliminate bugs, write clean code, share code with others, and use standard Linux-based tools, such as ddd and valgrind. This second edition provides expanded coverage of these topics with new material focused on software engineering, including version control and unit testing.The text enhances their programming skills by explaining programming concepts and comparing common mistakes with correct programs.It also discusses how to use debuggers and the strategies for debugging as well as studies the connection between programming and discrete mathematics. Including additional student and instructor resources available online, this book is particularly appealing as a classroom resource.
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Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation
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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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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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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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Is the intermediate level difficult?
The difficulty of the intermediate level can vary depending on the individual's prior knowledge, learning style, and dedication to practice. For some, the transition from beginner to intermediate can be challenging as it requires a deeper understanding of the language and more complex grammar and vocabulary. However, with consistent practice and exposure to the language, many learners find the intermediate level to be manageable and rewarding as they start to communicate more fluently and express more complex ideas. Overall, while the intermediate level may present some challenges, it is an important stage in language learning that can lead to significant progress.
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McGraw-Hill Education Intermediate Spanish Grammar
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. What you need to know to master intermediate Spanish grammarMcGraw-Hill: Intermediate Spanish Grammar guides you through this often-difficult subject, clearly explaining advanced concepts and giving you the practice you need to reach your language goals.Written in clear Spanish, with English glosses for key concepts, each chapter introduces one grammar topic followed by skill-building exercises, allowing you to learn and study at your own pace. At the end of this workbook, you will have mastered grammar areas such as gender, articles, adjectives, possessives, and verb tenses and will be ready to take your grammar knowledge to an advanced level. Features:116 units, each presenting one topic in a bite-sized,two-page formatMore than 400 exercises that give you real confidence in your new language skillsA comprehensive grammar glossary highlighting essential conceptsA bilingual glossary featuring hundreds of terms for quick referenceNumerous illustrations and usage examples showing Spanish grammar in contextLuis Aragones and Ramon Palencia are Spanish-language learning experts.Grupo SM is the third-largest educational publisher in the Spanish-speaking world. McGraw-Hill: Intermediate Spanish Grammar is the second book in a three-part series: after completing this workbook you can build on your skills with McGraw-Hill: Advanced Spanish Grammar.
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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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AI projects with Raspberry Pi : High-performance artificial intelligence for robotics, security, home automation, and vision
The Raspberry Pi 5 is the perfect computer to experiment with the world of neural networks, artificial intelligence, and machine learning. Coupled with the Raspberry Pi AI Kit, you can integrate local, high-performance, power-efficient inferencing into your projects.WIth the AI Kit, you can build complex AI vision applications, running in real time, with low latency and low power requirements. This book shows you how to get up and running with pretrained models or models you train yourself.You'll learn how to work with models that can:Identify a variety of objects and highlight them for youEstimate the pose of a personal, animal, or robotDiscern facial landmarks such as eyes, nose, and mouthClassify things based on their appearanceWhen you combine Raspberry Pi with artificial intelligence, it gives you the power to create all sorts of things: robots that can interact intelligently with their surroundings, games that use the physical world as a playing field, and home automation systems that adjust to the environment in real time.You're not limited by the pretrained models; with the Hailo Dataflow Compiler (DFC), you can fine-tune the kit for a variety of use cases.With this guide, you'll be up and running with your own Raspberry Pi-powered applications in no time!
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What are intermediate inheritance patterns?
Intermediate inheritance patterns refer to genetic traits that are not expressed as a simple dominant or recessive trait, but rather show a blending of the two. In this pattern, the heterozygous individual (having one dominant and one recessive allele) will display a phenotype that is intermediate between the two homozygous phenotypes. This means that the trait is not fully dominant or fully recessive, but rather falls somewhere in between. Examples of intermediate inheritance patterns include incomplete dominance and codominance.
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Is blood type inheritance intermediate?
Blood type inheritance is not considered intermediate, as it follows a simple Mendelian pattern of inheritance. Blood type is determined by multiple alleles at a single gene locus, with A and B being dominant over O. This results in four possible blood types (A, B, AB, O) based on the combinations of alleles inherited from each parent. Therefore, blood type inheritance is not a blend of the parents' blood types, but rather a predictable outcome based on the alleles inherited.
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Is blood group inheritance intermediate?
Blood group inheritance is not considered intermediate. It follows a simple Mendelian pattern of inheritance, where each individual inherits one blood type allele from each parent. The ABO blood group system is controlled by a single gene with three possible alleles (A, B, and O), leading to four blood types (A, B, AB, and O). This results in predictable patterns of inheritance, making blood group inheritance relatively straightforward to understand and predict.
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What is an intermediate inheritance?
Intermediate inheritance refers to a pattern of inheritance where the phenotype of the heterozygous individual is a blend of the phenotypes of the two homozygous parents. This means that the heterozygous individual does not exhibit the dominant trait of one parent or the recessive trait of the other, but rather a combination of the two. This type of inheritance is also known as incomplete dominance, where neither allele is completely dominant over the other. An example of intermediate inheritance is the inheritance of flower color in snapdragons, where red and white flowers produce pink flowers in heterozygous individuals.
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