Products related to Analysis:
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Project Analysis in Developing Countries : Cost Benefit Analysis for Development
This updated new edition explores the techniques used to assess the economic impact of projects in developing countries.Blending an academic understanding of economics and development with an accessible style and practical advice, the costs and benefits of investment projects, an important mechanism for economic development, are assessed to ensure that resource allocation is as productive as possible.New material has been added, particularly on the environmental impact of projects, the role of the discount rate in decision-taking, the application of techniques to estimate willingness to pay for benefit estimation and the quantification of health impacts. Although the basic techniques of project analysis were developed many decades ago, they remain highly relevant to address current concerns, such as population growth, urbanisation, pressure on physical infrastructure, inequality, and the climate crisis.This book aims to provide an accessible overview, drawn from extensive practical experience, of project analysis in developing countries.It will be relevant to students, researchers, and practitioners interested in development economics.
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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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An Analysis of Albert Bandura's Aggression : A Social Learning Analysis
Albert Bandura is the most cited living psychologist, and is regularly named as one of the most influential figures ever to have worked in his field.Much of his reputation stems from the theories and experiments described in his 1973 study Aggression: A Social Learning Analysis – a book that is both a classic of psychological study and a masterclass in the analytical skills central to good critical thinking.Bandura’s central contention is that much human learning is fundamentally social.As children imitate the behavior of those around them, and as their behaviors are reinforced by modelling, they entrench cognitive functions that more or less become part of their core personalities.The experiments that Bandura designed in order to prove his contentions with regard to learned aggressive tendencies show the powers of critical thinking analysis and evaluation at their best.Having set up a play environment for children in which they could be exposed to aggressive behavior (inflicted on a bobo doll), he was able to systematically examine their responses and learned behaviors, working out their functions and understanding the relationships between different aspects of behavior that combined to form a whole.Carefully evaluating at each stage the different extent to which children’s own aggressive behavior was affected by and modelled on what they saw.Bandura produced results that revolutionized psychology’s whole approach to human learning and behavior.
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Learning R for Geospatial Analysis
This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming.The book assumes familiarity with the basic geographic information concepts (such as spatial coordinates), but no prior experience with R and/or programming is required.By focusing on R exclusively, you will not need to depend on any external software a working installation of R is all that is necessary to begin.
Price: 39.99 £ | 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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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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Is there free AI software for image analysis?
Yes, there are several free AI software tools available for image analysis. Some popular options include TensorFlow, OpenCV, and scikit-image. These tools offer a wide range of capabilities for tasks such as image classification, object detection, and image segmentation. Users can leverage these free tools to develop and deploy AI models for various image analysis applications.
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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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Learn Data Analysis with Python : Lessons in Coding
Get started using Python in data analysis with this compact practical guide.This book includes three exercises and a case study on getting data in and out of Python code in the right format.Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it. Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate.If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python.You can then take these techniques and apply them directly to your own projects. If you aren’t using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic.As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished. What You Will LearnGet data into and out of Python codePrepare the data and its formatFind the meaning of the dataVisualize the data using iPythonWho This Book Is For Those who want to learn data analysis using Python.Some experience with Python is recommended but not required, as is some prior experience with data analysis or data science.
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Qualitative Content Analysis : Methods, Practice and Software
Are you working with qualitative data but unsure how to approach your analysis? This hands-on guide to qualitative content analysis from two internationally renowned experts provides you with a clear strategy for analysing your data, whether you are working with social media content, field notes, images, narratives or focus group data.Using qualitative interviews as an example, the book provides a clear structure for approaching your analysis that can be adapted for your research project. Explaining how qualitative content analysis differs from quantitative methods, the book provides you with: •a solid understanding of the principles behind QCA •a step-by-step guide to three types of QCA •guidance on how you can use software to enhance your analysis.
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Deep Learning for Medical Image Analysis
Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications.This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis.
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C++ Programming : From Problem Analysis to Program Design
Learn how to program with C++ using today’s definitive choice for your first programming language experience -- C++ PROGRAMMING: FROM PROBLEM ANALYSIS TO PROGRAM DESIGN, 8E.D.S. Malik’s time-tested, student-centered methodology incorporates a strong focus on problem-solving with full-code examples that vividly demonstrate the hows and whys of applying programming concepts and utilizing C++ to work through a problem.Thoroughly updated end-of-chapter exercises, more than 20 extensive new programming exercises, and numerous new examples drawn from Dr. Malik’s experience further strengthen your understanding of problem solving and program design in this new edition.You review the important features of C++ 14 Standard with timely discussions that ensure this edition equips you to succeed in your CS1 course and beyond.
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Is there any free AI software for image analysis?
Yes, there are several free AI software tools available for image analysis. Some popular options include Google Cloud Vision API, Microsoft Azure Computer Vision, and IBM Watson Visual Recognition. These tools offer features such as object detection, facial recognition, and image classification, making them useful for a variety of image analysis tasks. Users can access these tools through APIs or cloud-based platforms for free or with limited usage restrictions.
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Can I also evaluate software using a SWOT analysis?
Yes, you can evaluate software using a SWOT analysis. By analyzing the software's strengths, weaknesses, opportunities, and threats, you can gain a comprehensive understanding of its capabilities and limitations. This can help you make informed decisions about whether the software is suitable for your needs and how it compares to other options in the market. Additionally, conducting a SWOT analysis can highlight areas for improvement and potential risks associated with using the software.
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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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