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الصفحة 30
Basic Python for Data Management, Finance, and Marketing : Advance Your Career by Learning the Most Powerful Analytical Tool
Learn how to gather, manipulate, and analyze data with Python. This book is a practical guide to help you get started with Python from ground zero and to the point where you can use coding for everyday tasks. Python is used in all aspects of financial industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. You will: Get started with Python from square one / Extend what's possible on excel with Python / Automate tasks with Python / Analyze data more precisely
Basic principles of drug discovery and development ; 2nd ed.
Presents the multifaceted process of identifying a new drug in the modern era, which requires a multidisciplinary team approach with input from medicinal chemists, biologists, pharmacologists, drug metabolism experts, toxicologists, clinicians, and a host of experts from numerous additional fields. Enabling technologies such as high throughput screening, structure-based drug design, molecular modeling, pharmaceutical profiling, and translational medicine are critical to the successful development of marketable therapeutics. Given the wide range of disciplines and techniques that are required for cutting edge drug discovery and development, a scientist must master their own fields as well as have a fundamental understanding of their collaborator’s fields.
Banks and fintech on platform economies : Contextual and conscious banking
In Banks and Fintech on Platform Economies: Contextual and Conscious Banking, accomplished fintech professional and author Paolo Sironi delivers an insightful examination of how platform theory, born outside of financial services, will make its way inside banking and financial markets to radically transform the way firms do business.
Banking for Family Business: A New Challenge for Wealth Management
Hints of globalization have actually been around for several decades, even though they made only a modest impact; however, the availability of global capital and advances in communication technology have emp- sized the process of internationalization and the tools available to connect and integrate business activities to answer to more complex needs of c- ents. Moreover, the financial scandals and the review of mutual fund trade activity in the US by the Attorney General Elliot Spitzer have highlighted the importance to focus all efforts on renewing the confidence of prof- sional investors and their clients who have entrusted their capital to asset managers. Therefore, there is a growing need in the market to reinforce the concept of “Shared Positive Values” among the entire industry and among its stakeholders.
B2B eCommerce : Basics, Business Models and Best Practices in Business-to-Business Online Trade
Covers the basics of business-to-business (B2B) eCommerce, where similar principles of customer targeting can be observed as in B2C eCommerce. Gerrit Heinemann highlights the specifics and business models of B2B eCommerce, analyzes the digital challenges and shows the consequences and opportunities for online sales in B2B. Recognised best-practice examples illustrate how successful B2B eCommerce can work and which risks have to be considered.
Autonomous driving : Technical, legal and social aspects
This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies?
Automatic customizable e-commerce mobile app generator
Our project would give anyone who would like to start an E-business to Customize their app and generate their own E-market without the need of any programming skills with just a button click and within some hours, the generating process is based on three main steps, First our customer can login to our main website and start customizing his app the customized data is sent through an Api to the generator database, Second ,the generation process takes customer choices and apply some CMD commands to open specific dart files inside our and product and change the values of design attributes based on user choices, third, the generation process uses patch scripts and ends by generating an empty database for the App and returning the app as an Apk file that the user can install on his device in addition to an app dashboard to manage the app database.
Assets Liabilities Management
This project will shed a light on Assets Liabilities Management (ALM) and its importance. The assignment should cover all aspects of ALM from its meaning and its pros and cons, followed by its contents, to the types of risks that accompany it. The end of this project should contain the reports made on the responses gathered from the survey involving the use of ALM programs in the Syrian market.
Assetization : Turning Things into Assets in Technoscientific Capitalism
In this book, scholars from a range of disciplines argue that the asset—meaning anything that can be controlled, traded, and capitalized as a revenue stream—has become the primary basis of technoscientific capitalism. An asset can be an object or an experience, a sum of money or a life form, a patent or a bodily function. A process of assetization prevails, imposing investment and return as the key rationale, and overtaking commodification and its speculative logic. Although assets can be bought and sold, the point is to get a durable economic rent from them rather than make a killing on the market. Assetization examines how assets are constructed and how a variety of things can be turned into assets, analyzing the interests, activities, skills, organizations, and relations entangled in this process.
Asset Sales : Their Role in Restructuring and Financing Firms
Examines the corporate asset market and the mechanisms of asset sale transactions. The book then focuses on the theory of finance in asset sales (the efficiency and financing theory) and the extensive empirical literature now available. In light of recent and rapid technological and digital advances, the last section presents new perspectives on analyzing asset sales transactions. Chiefly intended as a primer for PhD students and academics, the book offers a road map of the empirical research landscape and suggests future research directions.
Asset prices, booms and recessions : Financial economics from a dynamic perspective
Studies the interaction of the financial market, economic activity and the macroeconomy from a dynamic perspective. The financial market to be studied here encompasses the money and bond market, credit market, stock market and foreign exchange market. Economic activity is described by the activity of firms, banks, households, governments and countries. The book shows how economic activity affects asset prices and the financial market and how asset prices and financial market volatility feed back to economic activity. The focus in this book is on theories, dynamic models and empirical evidence.
Asset allocation and private markets : A guide to investing with private equity, private debt, and private real assets
Asset Allocation and Private Markets provides institutional investors, such as pension funds, insurance groups and family offices, with a single-volume authoritative resource on including private markets in strategic asset allocation. The discussion focuses on private equity, private debt and private real assets, and their correlation with other asset classes to establish optimized investment portfolios.
Asias debt capital markets : Prospects and strategies for development
The book has three parts. Part I describes the characteristics and historical origins of these markets. Part II examines the contemporary bond markets and shows how they contribute to general welfare, describes the relationship between the banking sector and capital markets, and assesses prospects for reform in Asia's governmental and corporate debt markets. Part III explains the micro-level impediments and obstacles that must be the first targets of any reform efforts, provides an appraisal of attempts at regional cooperation to stimulate structural reform, and lastly contributes proposals to accelerate the growth and reach of bond markets throughout Asia.
Artificial markets modeling : Methods and applications
Agent-based computational modeling with its intrinsic multidisciplinary approach is gaining increasing recognition in the social sciences, particularly in economics, business and finance. This volume is devoted to recent contributions to the field from both the social sciences and computer sciences.
Artificial Market Experiments with the U-Mart System
Economics went through great development in the 20th century. This development, which was based mainly on mathematical methods, is not an appropriate method of analyzing markets that change every hour and every day. In a stock market, prices constantly change depending on speculation. U-Mart, a manmade market, has been proposed in order to study such instantly moving markets. Although the U-Mart system is internationally acclaimed for being at the forefront of market research, its use is by no means limited to a small number of researchers on the fringe. The whole system, including its source code, is open and is distributed without charge, testifying to a philosophy of creating and providing a common testbed for research into financial markets.
Artificial intelligence for marketing management
Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing.
Artificial Intelligence and COVID Effect on Accounting
This book considers the effects of COVID-19 on accounting, particularly with regard to the role of artificial intelligence in accounting in the post-pandemic business environment. The contributions in the book consider a variety of sectors that have been affected by the pandemic, such as the stock market, forensic accounting, Bitcoin, as well as the economic and educational responses to the pandemic and the aftermath felt by both developing and developed countries.
Artificial economics : Agent-based methods in finance, game theory and their applications
The purpose of this book is to give an up-to date view of the scientific production in the fields of Agent-based Computational Economics (mainly in Market Finance and Game Theory). Based on communications given at AE'2005 (Lille, USTL, France), this book offers a wide panorama of recent advances in ACE (both theoretical and methodological) that will interest academics as well as practitioners.
Architectural acoustics: A guide to integrated thinking
An authoritative but uniquely accessible and highly illustrated guide to good acoustic design practice for architects, interior designers and acoustic professionals. It provides a user-friendly introduction to architectural acoustics and acoustics technology where the market is crowded with dense and technical texts. It will go through each typology in turn explaining the key acoustic concepts with highly illustrated and international case studies that demonstrate cutting-edge practice and technology, innovative design techniques and common challenges and solutions
Arabic AI-generated adverts = إعلانات عربية مولدة بالذكاء الاصطناعي
In the ever-evolving landscape of digital marketing, our groundbreaking platform emerges, harnessing the power of artificial intelligence to revolutionize the creation of marketing campaigns. This innovative solution seamlessly combines neural networks, natural language generation, and multimedia processing capabilities to generate comprehensive and personalized marketing assets from a single product image. At its core, the platform leverages deep learning models that analyze the visual characteristics of the uploaded product image and identifies key features and attributes to define the product category, this enables the generation of compelling and persuasive marketing content tailored to the specific product. The platform's multi-faceted approach encompasses three distinct components: text generation, poster creation, and video advertisement production. Utilizing advanced natural language generation techniques, it crafts engaging marketing text that captures the essence and unique selling points of the product. Simultaneously, its image processing capabilities produce visually stunning promotional posters that blend the product image with eye-catching graphics and typography. along with creating captivating video advertisements optimized for social media and online advertising campaigns.
