Products related to Behavior:
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Learning and Behavior
Learning and Behavior reviews how people and animals learn and how their behaviors are changed because of learning.It describes the most important principles, theories, controversies, and experiments that pertain to learning and behavior that are applicable to diverse species and different learning situations.Both classic studies and recent trends and developments are explored, providing a comprehensive survey of the field.Although the behavioral approach is emphasized, many cognitive theories are covered as well, along with a chapter on comparative cognition.Real-world examples and analogies make the concepts and theories more concrete and relevant to students.In addition, most chapters provide examples of how the principles covered have been employed in applied and clinical behavior analysis.The text proceeds from the simple to the complex. The initial chapters introduce the behavioral, cognitive, and neurophysiological approaches to learning.Later chapters give extensive coverage of classical conditioning and operant conditioning, beginning with basic concepts and findings and moving to theoretical questions and current issues.Other chapters examine the topics of reinforcement schedules, avoidance and punishment, stimulus control and concept learning, observational learning and motor skills, comparative cognition, and choice. Thoroughly updated, each chapter features many new studies and references that reflect recent developments in the field.Learning objectives, bold-faced key terms, practice quizzes, a chapter summary, review questions, and a glossary are included.The text is intended for undergraduate or graduate courses in psychology of learning, (human) learning, introduction to learning, learning processes, animal behavior, (principles of) learning and behavior, conditioning and learning, learning and motivation, experimental analysis of behavior, behaviorism, and behavior analysis.
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Behavior-Driven Development with Cucumber : Better Collaboration for Better Software
Master BDD to deliver higher-value software more quickly To develop high-value products quickly, software development teams need better ways to collaborate.Agile methods like Scrum and Kanban are helpful, but they’re not enough.Teams need better ways to work inside each sprint or work item.Behavior-driven development (BDD) adds just enough structure for product experts, testers, and developers to collaborate more effectively. Drawing on extensive experience helping teams adopt BDD, Richard Lawrence and Paul Rayner show how to explore changes in system behavior with examples through conversations, how to capture your examples in expressive language, and how to flow the results into effective automated testing with Cucumber.Where most BDD resources focus on test automation, this guide goes deep into how BDD changes team collaboration and what that collaboration looks like day to day.Concrete examples and practical advice will prepare you to succeed with BDD, whatever your context or role. · Learn how to collaborate better by using concrete examples of system behavior · Identify your project’s meaningful increment of value so you’re always working on something important · Begin experimenting with BDD slowly and at low risk · Move smoothly from informal examples to automated tests in Cucumber · Use BDD to deliver more frequently with greater visibility · Make Cucumber scenarios more expressive to ensure you’re building the right thing · Grow a Cucumber suite that acts as high-value living documentation · Sustainably work with complex scenario data · Get beyond the “mini-waterfalls” that often arise on Scrum teams
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Learning and Behavior : Active Learning Edition
Examine learning through an evolutionary lens as Chance/Furlong's LEARNING AND BEHAVIOR, 8E demonstrates how learning has evolved as a biological mechanism to aid in survival.This clear, engaging presentation embraces a scientific approach to studying behavior with updated content, numerous learning features and current examples to capture your interest and strengthen your understanding.Timely research demonstrates the relevance of what you are studying as you examine concepts such as "nature via nurture" and the co-dependency of ontogeny and phylogeny.New learning objectives direct your attention to important concepts for study and review while helpful Concept Checks ensure you understand concepts before progressing.In addition, all content corresponds with the latest 7th Edition of the APA Publication Manual.Trust this book's unique approach as you master concepts behind learning, behavior and change and apply this to everyday life.
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Introduction to Learning and Behavior
Gain a clear understanding of the basic principles of learning and behavior and how you can apply this information to better understand and improve today's world with Powell/Honey/Symbaluk's INTRODUCTION TO LEARNING AND BEHAVIOR, 6E.This engaging, student-friendly behavioral approach to psychology uses examples derived from both animals and humans to vividly illustrate the relevance of behavioral principles in comprehending and impacting human behavior.Updated, expanded coverage and a dedicated appendix address self-control and behavior self-management in detail with specific tactics you can immediately apply. "Study Tip" guide you in strategies, from effectively reading texts to using procedures to increase concentration and reduce procrastination.You also see how principles apply to managing relationships and raising children.Numerous innovative and updated review, self-testing, learning and independent study features further your understanding of key concepts.
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Is learning programming and software development very challenging?
Learning programming and software development can be challenging for some people, as it requires logical thinking, problem-solving skills, and attention to detail. However, with dedication, practice, and the right resources, it is definitely achievable. Breaking down complex concepts into smaller, more manageable parts and seeking help from online tutorials, courses, and communities can make the learning process easier and more enjoyable. Ultimately, the level of challenge will vary depending on the individual's background, experience, and learning style.
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Which programming languages are used in software development?
There are many programming languages used in software development, including popular languages such as Java, Python, C++, JavaScript, and Ruby. Each language has its own strengths and is used for different purposes in software development. For example, Java is commonly used for building enterprise-level applications, while Python is known for its simplicity and versatility. C++ is often used for system software and game development, while JavaScript is essential for web development. Overall, the choice of programming language depends on the specific requirements of the software being developed.
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What is the difference between software development and programming?
Software development is a broader term that encompasses the entire process of creating software, including planning, designing, testing, and maintaining software applications. Programming, on the other hand, refers specifically to the act of writing code to instruct a computer to perform certain tasks. While programming is a key component of software development, software development involves a more comprehensive approach that includes various stages beyond just writing code.
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How is the learning behavior during prey capture?
During prey capture, learning behavior is characterized by trial and error, as the predator attempts different strategies to successfully capture its prey. Predators may learn from previous experiences and adjust their hunting techniques accordingly. They may also learn from observing the behavior of their prey and adapting their approach to increase their chances of success. This learning process can lead to the development of more effective hunting skills over time.
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The Principles of Learning and Behavior
From habituation, classical conditioning, and instrumental conditioning to stimulus control, aversive control, and their applications to the study of cognition, this learning and behavior textbook provides a comprehensive introduction to the elementary forms of learning that have been the focus of research for much of the 20th century.Applications boxes help you understand how findings from animal research relate to human learning and behavior, while neuroscience boxes offer you insights into the brain activity underlying learning.
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Programming Machine Learning : From Coding to Deep Learning
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool.But where to start? It's easy to be intimidated, even as a software developer.The good news is that it doesn't have to be that hard.Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system.Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty.Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning.Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work.Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on.Iterate on your design, and add layers of complexity as you go.Build an image recognition application from scratch with supervised learning.Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning.Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets.Train and refine those networks with backpropagation and batching.Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system.Start from the beginning and code your way to machine learning mastery.What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly.Apart from that, you'll only need your computer, and your code-adept brain.
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Behavior Analysis with Machine Learning Using R
Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems.It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records.The included examples demonstrate how to perform common data analysis tasks such as: data exploration, visualization, preprocessing, data representation, model training and evaluation.All of this, using the R programming language and real-life behavioral data.Even though the examples focus on behavior analysis tasks, the covered underlying concepts and methods can be applied in any other domain.No prior knowledge in machine learning is assumed. Basic experience with R and basic knowledge in statistics and high school level mathematics are beneficial. Features: Build supervised machine learning models to predict indoor locations based on WiFi signals, recognize physical activities from smartphone sensors and 3D skeleton data, detect hand gestures from accelerometer signals, and so on. Program your own ensemble learning methods and use Multi-View Stacking to fuse signals from heterogeneous data sources. Use unsupervised learning algorithms to discover criminal behavioral patterns. Build deep learning neural networks with TensorFlow and Keras to classify muscle activity from electromyography signals and Convolutional Neural Networks to detect smiles in images. Evaluate the performance of your models in traditional and multi-user settings. Build anomaly detection models such as Isolation Forests and autoencoders to detect abnormal fish behaviors. This book is intended for undergraduate/graduate students and researchers from ubiquitous computing, behavioral ecology, psychology, e-health, and other disciplines who want to learn the basics of machine learning and deep learning and for the more experienced individuals who want to apply machine learning to analyze behavioral data.
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Learning Cognitive-Behavior Therapy : An Illustrated Guide
Building on its successful "read-see-do" approach, this second edition of Learning Cognitive-Behavioral Therapy: An Illustrated Guide seamlessly combines 23 all-new videos with informative text and figures, charts, worksheets, checklists, and tables to help readers not only learn the essential skills of CBT but achieve competence in this important evidence-based treatment method. Opening with an overview of core cognitive-behavior therapy (CBT) theories and techniques, leading CBT practitioners then describe and demonstrate how to build effective therapeutic relationships with CBT, conceptualize a case with the CBT model, structure sessions, and resolve common problems encountered in CBT. This updated, second edition of the best-selling and highly popular Learning Cognitive-Behavioral Therapy also features: • Ways to employ CBT to reduce suicide risk• Guidance on integrating therapies related to CBT—including dialectical behavior therapy, mindfulness-based cognitive therapy, and well-being therapy—in the context of personality disorders and chronic or recurrent depression• An appendix of curated resources by the expert authors—recommended readings, computer programs, Web sites, videos, and organizations—to give readers access to the best resources in building competence in CBT practice The all-new videos feature clinicians demonstrating methods in real-world settings and include new topics such as safety planning and uncovering and changing maladaptive schemas.Proven as one of the best teaching tools for building competence in CBT, this new edition will enrich readers' understanding and practice of CBT.
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What training opportunities are available for IT specialists to specialize in web development and general programming, such as software development?
There are various training opportunities available for IT specialists looking to specialize in web development and general programming. Online platforms like Coursera, Udemy, and Codecademy offer courses and certifications in programming languages such as Python, Java, and JavaScript. Additionally, coding bootcamps like General Assembly and Flatiron School provide intensive, hands-on training in software development. IT specialists can also pursue advanced degrees in computer science or related fields to deepen their knowledge and skills in web development and programming.
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What training options are available for IT specialists to specialize in web development and general programming, such as software development?
IT specialists looking to specialize in web development and general programming have a variety of training options available to them. They can pursue formal education through degree programs in computer science or related fields, attend coding bootcamps that offer intensive training in programming languages and frameworks, or take online courses and tutorials to learn specific skills. Additionally, IT specialists can participate in workshops, seminars, and conferences to stay updated on the latest trends and technologies in web development and software development. Continuous learning and practice are essential for IT specialists to excel in these specialized areas.
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Which programming language is suitable for software development for the PC?
There are several programming languages that are suitable for software development for the PC, but some of the most popular and widely used ones include C++, Java, and C#. C++ is a powerful and versatile language that is commonly used for developing system software and applications that require high performance. Java is a popular choice for developing cross-platform applications, as it can run on any operating system that has a Java Virtual Machine. C# is commonly used for developing Windows applications and is well-integrated with the .NET framework. Ultimately, the choice of programming language depends on the specific requirements of the software being developed and the preferences of the development team.
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What is the difference between learning and visible behavior change?
Learning refers to the acquisition of knowledge or skills through study, experience, or being taught. It involves the internalization of new information or abilities. Visible behavior change, on the other hand, refers to the observable and measurable alterations in an individual's actions, reactions, or habits. While learning may lead to behavior change, not all learning results in visible behavior change, and not all behavior change necessarily reflects learning. Behavior change can be influenced by various factors, including motivation, environment, and reinforcement, whereas learning is more focused on the acquisition and processing of information.
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