Products related to Bias:
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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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Bias-aware Teaching, Learning and Assessment
This book offers university teachers informed and practical strategies for raising awareness of bias in teaching, learning and assessment practices.Conscious and unconscious biases influence judgements, perceptions, decision making and actions, and societal awareness has now turned the spotlight on how higher education (HE) is addressing bias at institutional and individual levels. The urgency to do so is evidenced through recent studies which reveal the extent of the effects of discrimination and exclusion experienced by individual students, groups of students and members of staff.It can be difficult to know where to start and how to sustain effective impact to achieve inclusion, equity and equality of opportunity.This book offers informed and practical strategies for raising awareness of bias in teaching, learning and assessment practices and provides approaches to eliminate, limit and mitigate the negative effects of bias on university students.
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Heteronormative Bias
Sexuality and Gender Now uses a psychoanalytic approach to arrive at a more informed view of the experience and relationships of those whose sexuality and gender may not align with the heterosexual "norm".This book confronts the heteronormative bias dominant in psychoanalysis, using a combination of theoretical and clinical material, offering an important training tool as well as being relevant for practicing clinicians.The contributors address the shift clinicians must make not only to support their patients in a more informed and non-prejudicial way, but also to recognise their own need for support in developing their clinical thinking.They challenge assumptions, deconstruct theoretical ideas, extend psychoanalytic concepts, and, importantly, show how clinicians can attend to their pre-conscious assumptions.They also explore the issue of erotic transference and countertransference, which, if unaddressed, can limit the possibilities for supporting patients more fully to explore their sexuality and gender.Theories of psychosexuality have tended to become split off from the main field of psychoanalytic thought and practice or read from an assumed moral high ground of heteronormativity.The book specifically addresses this bias and introduces new ways of using psychoanalytic ideas.The contributors advocate a wider and more flexible attitude to sexuality in general, which can illuminate an understanding of all sexualities, including heterosexuality. Sexuality and Gender Now will be essential reading for professionals and students of psychoanalysis who want to broaden their understanding of sexuality and gender in their clinical practice beyond heteronormative assumptions.
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Learning, Training, and Development in Organizations
This scholarly book in SIOP’s Organizational Frontier series looks at research on enhancing knowledge acquisition and its application in organizations.It concentrates on training, design and delivery given the changing nature of work and organizations.Now that work is increasingly complex, there is greater emphasis on expertise and cognitive skills.Advances in technology such as computer simulations and web-based training are necessitating a more active role for the learner in the training process.In the broad context of the organization systems, this book promotes learning and development as a continuous lifelong endeavor.
Price: 46.99 £ | Shipping*: 0.00 £
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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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Who is your Blackpink bias and bias wrecker and why?
My Blackpink bias is Lisa because of her incredible stage presence, powerful dancing, and unique fashion sense. She always brings a high level of energy and charisma to their performances. My bias wrecker is Jisoo because of her stunning visuals, sweet personality, and strong vocal abilities. She has a way of capturing my attention with her charm and talent.
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What is your Itzy bias and who is your bias-wrecker?
My Itzy bias is Lia, because I love her powerful vocals and stage presence. My bias-wrecker is Yuna, because she has a captivating and charismatic aura that always catches my attention. Both of them are incredibly talented and bring something unique to the group, making it hard to choose just one favorite member!
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Who is your bias?
As an AI language model, I do not have personal preferences or biases. My purpose is to provide information and assistance to the best of my abilities without any personal inclinations.
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Effective Software Development for the Enterprise : Beyond Domain Driven Design, Software Architecture, and Extreme Programming
It’s a jungle out there. Delivering software solutions with predictable costs, time, scope, and quality has become more complicated than ever.Developers need to account for multiple moving targets, including often avoided but always relevant factors such as culture, people, and leadership.To effectively deal with these challenges, it’s necessary to rethink the entire delivery chain of modern software development.This book addresses all these topics, putting everything in perspective, from the potential awkwardness created by cultural differences to connecting code with business outcomes to make delivering quality solutions possible.As a software engineer who strives to be his best and challenge the status quo when building IT systems, author Tengiz Tutisani always wanted a book that would cover all of these elements from a developer’s perspective — so he wrote one.Effective Software Development for the Enterprise builds on advanced disciplines, methodologies, and techniques derived from domain-driven design, software architecture, and extreme programming.Its objective is to aid modern software engineers and solution architects in building and delivering high-quality solutions for an enterprise while meeting ambitious criteria:Meet users' expectationsDeliver solutions on time with no defectsCreate products that can scale-out horizontallySolutions should not require a dedicated production support teamAccelerate development paceDouble ROI per developer, team, and softwareYou will learn how to achieve these objectives in any engineering environment by developing solid strategies based on the industry's well-known, recognized, and proven patterns and principles.After reading this book, you will be ready to effectively deal with any and all challenges posed by today’s hyper-competitive, globally-diverse, fast-moving enterprise environment. Who This Book Is ForProfessional software engineers and solution architects, as well as those aspiring to become one.Additionally, software engineering leaders will benefit from reading it, as it will help them maximize their impact via successful software project deliveries.
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Beat Gender Bias
Bias might be built in to how our brains work, but that doesn’t make it acceptable. When it comes to leadership, biases create a ‘sticky floor’, making it hard for women to rise to the top. An inclusive culture, by comparison, creates personal, social and economic value that will sustain an organisation’s future success. The good news is that the change to gender balance can be accelerated if you know more about how bias works. In this book, Dr Karen Morley explains how biases, particularly the insidious unconscious ones, trip us up. She outlines an approach for minimising their impact in organisations with Bias Busters – specific actions you can take with the goal of making it easier to notice, talk about and overcome bias.Beat Gender Bias is for everyone who wants work to be better – to make a difference and play a bigger, more satisfying part in creating a more inclusive world!
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Time for Bias
This book is about the need and importance of BIAS (building inspection, assessment, and surveillance), given the proliferation of buildings and infrastructure throughout the world, especially in developed cities where skyscrapers and high-rise buildings as well as massive infrastructure have changed entire cityscapes in the last two decades.The author aims to convince governments, corporations, professionals, and academics as well as property owners of the need for and importance of BIAS, and he hopes that they will take BIAS seriously.The author strongly believes that his book will prove its worth in times to come as lives and properties are saved.
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Modern Python Programming using ChatGPT : 10x your software development skills with Python
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'Exclusion due to bias?'
Exclusion due to bias refers to the act of leaving out or discriminating against individuals or groups based on preconceived notions, stereotypes, or prejudices. This can occur in various aspects of life, such as employment, education, housing, or social interactions. Exclusion due to bias can have detrimental effects on the individuals or groups being targeted, leading to feelings of marginalization, inequality, and injustice. It is important to address and challenge bias in order to create a more inclusive and equitable society.
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What is BTS's bias?
BTS's bias refers to the member of the group that a fan favors or supports the most. Each fan may have a different bias based on their personal preferences and connections with the members. The bias can change over time as fans get to know the members better and as the group releases new music and content. Overall, BTS's bias is a personal choice and can vary among their diverse fanbase.
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What does bias mean?
Bias refers to a prejudice or inclination towards a particular perspective, idea, or group, which may result in unfair treatment or judgment. It can manifest in various forms, such as personal biases based on individual experiences or societal biases rooted in cultural norms and stereotypes. Bias can impact decision-making, behavior, and attitudes, and it is important to recognize and address biases in order to promote fairness and equality.
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Who is your bias and who is your bias-wrecker in WayV?
My bias in WayV is Ten because of his incredible dancing skills and stage presence. My bias-wrecker in WayV is Xiaojun because of his powerful vocals and charming personality. Both of them never fail to impress me with their talents and charisma.
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