Products related to Detection:
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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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Deep Learning for Crack-Like Object Detection
Computer vision-based crack-like object detection has many useful applications, such as inspecting/monitoring pavement surface, underground pipeline, bridge cracks, railway tracks etc.However, in most contexts, cracks appear as thin, irregular long-narrow objects, and often are buried in complex, textured background with high diversity which make the crack detection very challenging.During the past a few years, deep learning technique has achieved great success and has been utilized for solving a variety of object detection problems. This book discusses crack-like object detection problem comprehensively.It starts by discussing traditional image processing approaches for solving this problem, and then introduces deep learning-based methods.It provides a detailed review of object detection problems and focuses on the most challenging problem, crack-like object detection, to dig deep into the deep learning method.It includes examples of real-world problems, which are easy to understand and could be a good tutorial for introducing computer vision and machine learning.
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Deep Learning in Diabetes Mellitus Detection and Diagnosis
Deep Learning in Diabetes Mellitus Detection and Diagnosis focuses on deep learning-based approaches in the field of diabetes mellitus detection and diagnosis, including preprocessing techniques that are an essential part of this subject.This is the first book of its kind to cover deep learning-based approaches in the specific field of diabetes mellitus.This book includes a detailed introductory overview as well as chapters on current applications, preprocessing of data using deep learning, deep learning techniques, complexity, challenges, and future directions.It will be of great interest to researchers and professionals working on diabetes mellitus as well as general medical applications of machine learning. Features:Highlights how the use of deep neural networks-based applications can address new questions and protocols, as well as improve upon existing challenges in diabetes mellitus detection and diagnosisAssists scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation, with no complex mathematical equationsInvolves exceptional subject coverage and includes the principles needed to understand deep learning
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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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What software is available for plagiarism detection?
There are several software options available for plagiarism detection, including Turnitin, Grammarly, Copyscape, and Plagscan. These tools use advanced algorithms to compare submitted content with a vast database of academic papers, websites, and other sources to identify any instances of plagiarism. Some software also provides additional features such as grammar and spell-checking, citation assistance, and writing feedback. Institutions and individuals can choose the software that best fits their needs and budget to ensure the originality of their work.
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Is there a free driver detection software?
Yes, there are free driver detection software available. Some popular options include Driver Easy, Snappy Driver Installer, and Driver Booster. These programs can scan your computer for outdated or missing drivers and provide you with options to update them. Keep in mind that while these programs are free to use, they may offer additional paid features or upgrades.
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Is the cheat detection software on Lichess faulty?
There is no evidence to suggest that the cheat detection software on Lichess is faulty. Lichess has a strong reputation for fair play and takes cheating very seriously. The site uses a combination of algorithms and human moderators to detect and address cheating behavior. While no system is perfect, Lichess is constantly working to improve its cheat detection software and maintain the integrity of the platform.
Similar search terms for Detection:
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Golf Training Mat Swing Detection Batting Ball Trace Directional Detection Mat Swing Path Pads Swing
Golf Training Mat Swing Detection Batting Ball Trace Directional Detection Mat Swing Path Pads Swing
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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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Modern Python Programming using ChatGPT : 10x your software development skills with Python
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Virus Detection
Viruses do not behave as other microbes; their life cycles require infecting healthy cells, commandeering their cellular apparatus, replicating and then killing the host cell.Methods for virus detection and identification have been developed only in the past few decades.These recently developed methods include molecular, physical, and proteomic techniques.All these approaches (Electron Microscopy, Molecular, Direct Counting, and Mass Spectrometry Proteomics) to detection and identification are reviewed in this succinct volume.It is written in approachable language with enough detail for trained professionals to follow and want to recommend to others. Key Features Covers common detection methods Reviews the history of detection from antiquity to the present Documents the strengths and weaknesses of various detection methods Describes how to detect newly discovered viruses Recommends specific applications for clinical, hospital, environmental, and public health uses
Price: 35.99 £ | Shipping*: 0.00 £
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Do you know any good free plagiarism detection software?
Yes, there are several good free plagiarism detection software options available. Some popular ones include Grammarly, Small SEO Tools, and DupliChecker. These tools can help you check your content for any instances of plagiarism before publishing or submitting it.
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What is the detection limit or limit of detection?
The detection limit, also known as the limit of detection, is the lowest concentration of a substance that can be reliably detected by a particular analytical method. It represents the smallest amount of analyte that can be distinguished from the background noise of the measurement. Detection limits are important in determining the sensitivity and reliability of an analytical technique, as they indicate the smallest quantity of a substance that can be accurately measured. Scientists strive to minimize detection limits in order to improve the accuracy and precision of their measurements.
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Do you know of any good free plagiarism detection software?
Yes, there are several good free plagiarism detection software available online. Some popular options include SmallSEOTools, DupliChecker, and Plagiarisma. These tools allow you to check your content for plagiarism by comparing it against a vast database of online sources. They are user-friendly and provide detailed reports highlighting any potential instances of plagiarism.
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Does the plagiarism detection software recognize a text translated from English?
Yes, plagiarism detection software can recognize a text that has been translated from English. The software compares the text to a vast database of existing content to identify similarities, regardless of the language. It can detect if the translated text closely matches existing content, indicating potential plagiarism. However, the accuracy of detection may vary depending on the quality of the translation and the extent of the changes made to the original text.
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