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An Inside Guide to Property Development and Investment
An Inside Guide to Property Development and Investment
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Discourses, Identities and Investment in Foreign Language Learning
This book explores discourses of foreign language education in Ireland through an ethnographic lens.Taking a critical approach to SLA, it locates students' language ideologies within wider discourses of language learning, such as discourses of gender and language learning and discourses of elite multilingualism.It also examines the role of the imagined identity in language learning investment in a world where English and a limited number of other 'global' languages dominate the foreign language learning experience.The ethnographic approach provides a unique insight into the way in which dominant discourses of identity, gender, and foreign language learning are both constructed and resisted in the institutional context, shaping our understanding of what it means to be a gendered being and what it means to be a language learner in a globalised world.This book will be of interest to postgraduate students and researchers in the fields of SLA and sociolinguistics, as well as language teachers and language policymakers.
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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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Regulating Foreign Direct Investment for Development : Perspectives from Bangladesh
This book offers a comprehensive overview of the relationship between Foreign Direct Investment (FDI) regulation and sustainable development in Bangladesh. It is widely accepted that FDI-induced development is essential for the growth of undeveloped economies, but it can create a conflict between the investors' goal of profit maximisation and the host state's pursuit of economic gains.FDI-induced development is especially important for the economy of Bangladesh, the focus of this book, which argues that a balanced regulatory approach is necessary to ensure that FDI benefits all stakeholders.In examining Bangladesh's FDI regulatory regime, the authors reveal that it is investor-centric and lacks a development-oriented approach.They discuss the relevant laws, practices, mechanisms, and institutions that govern the entrance regulations and incentives for foreign investment, as well as the protection of the environment and human rights, with special attention to labour rights, involuntary displacement, and the protection of both the investors and the state in which they invest.From this analysis, the book recommends reforms to introduce development as a primary goal while maintaining Bangladesh's appeal as an FDI destination. The book will be of interest to researchers, students, and academics in the fields of economics, politics, sustainable development, and economic growth.It will also be of great interest to FDI strategists, policymakers, negotiators, administrators, and legislators in creating a balanced regulatory regime to attract FDIs for development.
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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 is Deka Investment?
Deka Investment is a German asset management company that offers a wide range of investment products and services to institutional and retail clients. It is one of the largest investment companies in Germany and manages assets across various asset classes, including equities, fixed income, and real estate. Deka Investment is known for its expertise in managing mutual funds, ETFs, and individual portfolios, providing clients with access to diversified investment opportunities.
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Are investment bankers mathematicians?
Investment bankers do not necessarily have to be mathematicians, but they often use mathematical and statistical models to analyze financial data and make investment decisions. While a strong understanding of mathematics can be beneficial in this field, it is not a strict requirement. Many investment bankers come from diverse educational backgrounds, including finance, economics, and business, and may have varying levels of mathematical expertise. However, having a solid grasp of mathematical concepts can certainly be an asset in the investment banking industry.
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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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Rethinking Investment Law
There is no denying that the rules and enforcement mechanisms of investment law and arbitration reach deep into the regulatory and policy space of host states.Investment tribunals have the ability to second-guess all variety of state measures and, in doing so, have displayed a remarkable lack of restraint.Despite investment law's muscularity, without equal in international law, the prevailing orthodoxy treats investment law as a defensible and just restraint on government and politics.This volume helps to correct the prevailing view. Rethinking Investment Law illustrates how investment law protections for foreign investors constrains states and over-compensates investors.It offers a more balanced vision of how international law can protect all those affected, not just foreign investors.An expert set of contributors explain both the conventional law and its limitations.Their analysis shows that doctrines, now widely entrenched, in orthodox accounts of investment law could have taken, and could still take, a different turn.They offer a more respectful approach to states' roles and responsibilities to enact laws in the public interest.This text will be an illuminating read for students and academics in areas such as investment law and international economic law.It provides cutting-edge analysis for researchers, practitioners, and students seeking to understand and question the usual standards of treatment under investment treaties.
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Investment under Uncertainty
How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products?Why have traditional economic models of investment failed to explain the behavior of investment spending in the United States and other countries?In this book, Avinash Dixit and Robert Pindyck provide the first detailed exposition of a new theoretical approach to the capital investment decisions of firms, stressing the irreversibility of most investment decisions, and the ongoing uncertainty of the economic environment in which these decisions are made.In so doing, they answer important questions about investment decisions and the behavior of investment spending.This new approach to investment recognizes the option value of waiting for better (but never complete) information.It exploits an analogy with the theory of options in financial markets, which permits a much richer dynamic framework than was possible with the traditional theory of investment.The authors present the new theory in a clear and systematic way, and consolidate, synthesize, and extend the various strands of research that have come out of the theory. Their book shows the importance of the theory for understanding investment behavior of firms; develops the implications of this theory for industry dynamics and for government policy concerning investment; and shows how the theory can be applied to specific industries and to a wide variety of business problems.
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Quantitative Investment Analysis
Whether you are a novice investor or an experienced practitioner, Quantitative Investment Analysis, 4th Edition has something for you. Part of the CFA Institute Investment Series, this authoritative guide is relevant the world over and will facilitate your mastery of quantitative methods and their application in todays investment process.This updated edition provides all the statistical tools and latest information you need to be a confident and knowledgeable investor.This edition expands coverage of Machine Learning algorithms and the role of Big Data in an investment context along with capstone chapters in applying these techniques to factor modeling, risk management and backtesting and simulation in investment strategies. The authors go to great lengths to ensure an even treatment of subject matter, consistency of mathematical notation, and continuity of topic coverage that is critical to the learning process.Well suited for motivated individuals who learn on their own, as well as a general reference, this complete resource delivers clear, example-driven coverage of a wide range of quantitative methods.Inside you'll find: Learning outcome statements (LOS) specifying the objective of each chapterA diverse variety of investment-oriented examples both aligned with the LOS and reflecting the realities of todays investment worldA wealth of practice problems, charts, tables, and graphs to clarify and reinforce the concepts and tools of quantitative investment management You can choose to sharpen your skills by furthering your hands-on experience in the Quantitative Investment Analysis Workbook, 4th Edition (sold separately)—an essential guide containing learning outcomes and summary overview sections, along with challenging problems and solutions.
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Property Investment Appraisal
Discover an insightful examination of the property investment appraisal process from leaders in the industry This book explains the process of property investment appraisal: the process of estimating both the most likely selling price (market value) and the worth of property investments to individuals or groups of investors (investment value). Valuations are important. They are used as a surrogate for transactions in the measurement of investment performance and they influence investors and other market operators when transacting property.Valuations need to be trusted by their clients and valuers need to produce rational and objective solutions. Appraisals of worth are even more important, as they help to determine the prices that should be paid for assets, even in times of crisis, and they can indicate market under- or over-pricing. In a style that makes the theory as well as the practice of valuation accessible to students and practitioners, the authors provide a valuable critique of conventional valuation methods and argue for the adoption of more contemporary cash-flow methods.They explain how such valuation models are constructed and give useful examples throughout. They also show how these contemporary cash-flow methods connect market valuations with rational appraisals. The UK property investment market has been through periods of both boom and bust since the first edition of this text was produced in 1988.As a result, the book includes examples generated by vastly different market states.Complex reversions, over-rented properties and leaseholds are all fully examined by the authors. This Fourth Edition includes new material throughout, including brand new chapters on development appraisals and bank lending valuations, heavily revised sections on discounted cash flow models with extended examples, and on the measurement and analysis of risk at an individual property asset level.The heart of the book remains the critical examination of market valuation models, which no other book addresses in such detail.
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Is the investment worth it?
The worth of an investment depends on various factors such as the potential return on investment, the level of risk involved, and the investor's financial goals. It is essential to conduct thorough research and analysis before making any investment decision. Consulting with a financial advisor can also help in determining if the investment aligns with one's financial objectives and risk tolerance. Ultimately, the worth of an investment is subjective and varies from person to person.
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What are CSGO investment crates?
CSGO investment crates are virtual items in the game Counter-Strike: Global Offensive that contain random in-game items such as weapon skins, stickers, and other cosmetic items. Players can purchase these crates with real money and then open them to receive a random item. Some of these items can be quite valuable, leading to the concept of "investing" in crates in the hopes of getting a rare and valuable item that can be sold for a profit on the game's marketplace. However, it's important to note that investing in CSGO crates is speculative and comes with risks, as the value of in-game items can fluctuate.
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Which investment is the best?
The best investment varies depending on individual financial goals, risk tolerance, and time horizon. Some may prefer the stability of bonds or the potential for growth in stocks. Real estate can also be a good long-term investment. It's important to diversify investments to spread risk and maximize returns. Consulting with a financial advisor can help determine the best investment strategy for your specific situation.
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What is a Lego investment?
A Lego investment refers to the practice of purchasing Lego sets with the intention of reselling them at a higher price in the future. Some Lego sets, particularly limited edition or discontinued ones, can appreciate in value over time, making them a popular choice for investors. Factors such as rarity, demand, and condition of the set can all influence the potential return on investment for Lego collectors.
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