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Walsh S: Between the Spreadsheets

Between the Spreadsheets

Classifying and Fixing Dirty Data

Application of Python in Healthcare Technology: Medical Data Analysis and Developing ML/AI Models provides comprehensive coverage of the Python programming language from a medical-based perspective. With a strong focus on utility-based learning rather than technical-based learning of Python, this title clarifies how the application of Python in the healthcare technology industry has a meaningful impact on patient care through the development of deep learning models for early prediction of diseases and the development of Clinical Decision Support System (CDS). In 13 chapters, an extensive range of topics pertaining to the intersection of Python and medical sciences is covered. Coverage defines how to set up an environment to work with python, describes Python class, methods, and functions, explains both basic and advanced statistical analysis in Python, and provides a tool to assist in the development of deep learning models such as API, Git, Github, NumPy, Pandas, and SciPy.

Medical Data Analysis and Developing ML/AI Models

Application of Python in the Healthcare Technology

Prepare, design and implement a data governance framework that works for your organization with this practical guide to harnessing data successfully.

Design a Framework that Works for Your Organization

Effective Data Governance

Management Practice Essentials

Commercial acumen is a critical skill that underpins the realisation of successful and high value trading relationships. This concise textbook provides knowledge of the principles of strategic commercial management together with a framework for critically understanding commercial practice within and between organisations.

Strategic Commercial Management

This book looks at the inter-relationship between the system background of the Chinese family enterprises, information disclosure with the reality of the securities market. The book examines the relationship between family enterprise governance and the information transmission mechanism through theoretical and empirical studies and provides comprehensive results of the investigation on family enterprises. In particular, it constructs a three-dimensional analytical framework constituted by governance of listed family enterprises, information disclosure and enterprise value from the perspective of family enterprise governance (i.e. the ownership structure and features of the board of directors) The book is useful to investors with information on listed family enterprises. The content helps investors to correctly realize the value of such enterprises and reduces the problem of "adverse selection", saving cost on decision-making. The book is also beneficial to securities regulatory authorities to assess the quality of information disclosed by listed companies.

This book looks at the inter-relationship between the system background of the Chinese family enterprises, information disclosure with the reality of the securities market. The book examines the relationship between family enterprise governance and the information transmission mechanism through theoretical and empirical studies and provides comprehensive results of the investigation on family enterprises. In particular, it constructs a three-dimensional analytical framework constituted by governance of listed family enterprises, information disclosure and enterprise value from the perspective of family enterprise governance (i.e. the ownership structure and features of the board of directors) The book is useful to investors with information on listed family enterprises. The content helps investors to correctly realize the value of such enterprises and reduces the problem of "adverse selection", saving cost on decision-making. The book is also beneficial to securities regulatory authorities to assess the quality of information disclosed by listed companies.

Chinese Family Enterprise Governance

Everything you need to know but probably don't - yet

The Science of Racism

Whilst there are many books which deal with decision making in a general, process or mathematical sense, there are very few books which address the nature of poor decision making and particularly how to avoid decisions with unintended consequences and surprises. This book is unique in that it has taken a military intelligence concept from the CIA and applied it to the corporate world. As such it offers a fresh perspective on the decision making process. This book will provide the reader with a clear understanding of the nature of blowback, how to assess it and how to avoid it.

Whilst there are many books which deal with decision making in a general, process or mathematical sense, there are very few books which address the nature of poor decision making and particularly how to avoid decisions with unintended consequences and surprises.   There are plenty of sources of influence on any significant decisions within business; the politics or culture of the organization (or of the environment in which it operates); the passage of time following the decision; the availability of information; the behaviour of customers, stakeholders or activitists and the impact of fear, greed or panic on their view of the situation.  Andrew Holmes provides readers with the means to understand the nature of this influence; how to model the potential for blowback on any decisions that you may be planning, along with a series of tools and techniques for mitigating or avoiding blowback.  Every week all sorts of organizations find their reputation, their share price or even their very business, under pressure because of the consequences or blowback from poor or hasty decisions. Andrew Holmes book provides you with an understanding of the phenomenon as well as a very practical guide to more resilient decision making.  This book will provide the reader with a clear understanding of the nature of blowback, how to assess it and how to avoid it.

How to Avoid Unintended and Undesired Consequences in Decision-Making

Blowback in Business

With this postgraduate textbook, learn how to critically analyse how sustainable a company's communications and brand is, and how to create a sustainable marketing plan.

Principles and Practices for Responsible and Ethical Marketing

Sustainable Marketing Strategies

Learn the theory and practice of social media marketing and social media management success with this textbook.

Digital Marketing in a Networked World

Social Media Marketing

Design and implement a strategic workforce plan to meet your business goals with this practical guide written for senior HR practitioners.

Design, Implement and Measure Workforce Plans to Drive Business Results

The Strategic Workforce Planning Handbook

Unlock the full potential of generative AI for your business-an indispensable read for every modern leader looking to integrate generative AI in their organization In Generative AI: The Essential Guide for Business Leaders, celebrated AI researcher, strategist and industry executive Matthew D. White delivers an up-to-date and insightful new perspective of how business leaders should integrate generative AI into their own organizations. In the book, you'll learn about the basics of generative algorithms, explore the opportunities and risks presented by the new technology made famous by OpenAI's powerful ChatGPT - and learn how to improve your organization's products, services, operations, and strategies while limiting bias and harms. The author describes a complete framework for the adoption of generative AI inside your organization, as well as specific strategies to avoid the most common mistakes and pitfalls made by companies as they navigate these largely uncharted waters. You'll also find: <ul> <li>Demystifying Generative AI: Comprehensive, jargon-free explanations to help you understand the core concepts of generative AI</li> <li>Real-world Applications: Applications and methods you can apply to your own company's products and services to harness the potential of generative AI</li> <li>Strategic Insights: Planning considerations that will prove crucial to the success or failure of your new generative AI adoption strategy</li> <li>Adoption Frameworks: Concrete, step-by-step methodologies for streamlining your processes, increasing productivity, creating new and exciting products, and improving your bottom-line</li> <li>Risk Assessment: Practical advice on evaluating the ethical and operational risks of generative AI and how to mitigate them</li> <li>The Future: Insightful view of what is to come in the field of generative AI along with a discussion on the most pressing social, economic and legal issues</li></ul> An exciting road map to the commercial potential of generative AI for managers, directors, executives, and other business leaders, Generative AI will also be a hit with policymakers, regulators, compliance specialists, and technical professionals interested in the future of commerce and tech.

The Essential Guide for Business Leaders

Generative AI for Business

Learn to build a web app that can monitor millions of posts across all social media platforms to chart public opinion in real time. Social media has become our modern-day agora, the place where we get our news and engage in political discourse. With disinformation, hate speech, foreign interference, authoritarianism, market monopolization, and political polarization all on the rise, monitoring social media in the public interest has never been so difficult nor so urgent. Social Media Observatory is an in-depth beginner’s guide to coding full-stack web applications in Python to track and analyze social media activity at scale, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions. You’ll start by coding a web app to monitor Russian disinformation channels discussing Ukraine on Telegram, then learn more adversarial methods to scrape the Wayback Machine, Instagram, and TikTok. You’ll detect Twitter bots following Saudi influencers, extract text-embedded URLs to reveal a white supremacist blogosphere, parse archived tweets to reveal the discourse leading up to the January 6 insurrection, and learn to circumvent Meta's and ByteDance's defenses to scrape Instagram and TikTok, collecting evidence of war crimes in the Middle East. Finally, you’ll write an API and deploy your observatory to a cloud server to collaborate with other investigators. By the end of the book, you’ll have a working website that allows collaborators to log in, request data collection, and perform analysis of collected data, via a point-and-click interface.&nbsp; Along the way, you’ll learn to: <ul><li>Use Python and RabbitMQ to retrieve Telegram data from a remote API</li><li>Store data with PostgreSQL and query it with SQLAlchemy</li><li>Analyze the data you’ve retrieved with Pandas, NetworkX, Gephi, and other tools</li><li>Use state-of-the-art AI tools to transcribe audio and classify text</li><li>Deploy a website with an interactive dashboard using FastAPI, Dash, Cytoscape, Uvicorn, Gunicorn, Nginx, AWS, and Let’s Encrypt</li><li>Containerize your apps with Docker and provision infrastructure with Pulumi</li></ul> Whether you’re a citizen scientist, a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

Learn to build a web app that can monitor millions of posts across all social media platforms to chart public opinion in real time. Social media has become our modern-day agora, the place where we get our news and engage in political discourse. With disinformation, hate speech, foreign interference, authoritarianism, market monopolization, and political polarization all on the rise, monitoring social media in the public interest has never been so difficult nor so urgent. Social Media Observatory is an in-depth beginner’s guide to coding full-stack web applications in Python to track and analyze social media activity at scale, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions. You’ll start by coding a web app to monitor Russian disinformation channels discussing Ukraine on Telegram, then learn more adversarial methods to scrape the Wayback Machine, Instagram, and TikTok. You’ll detect Twitter bots following Saudi influencers, extract text-embedded URLs to reveal a white supremacist blogosphere, parse archived tweets to reveal the discourse leading up to the January 6 insurrection, and learn to circumvent Meta's and ByteDance's defenses to scrape Instagram and TikTok, collecting evidence of war crimes in the Middle East. Finally, you’ll write an API and deploy your observatory to a cloud server to collaborate with other investigators. By the end of the book, you’ll have a working website that allows collaborators to log in, request data collection, and perform analysis of collected data, via a point-and-click interface.&nbsp; Along the way, you’ll learn to: <ul><li>Use Python and RabbitMQ to retrieve Telegram data from a remote API</li><li>Store data with PostgreSQL and query it with SQLAlchemy</li><li>Analyze the data you’ve retrieved with Pandas, NetworkX, Gephi, and other tools</li><li>Use state-of-the-art AI tools to transcribe audio and classify text</li><li>Deploy a website with an interactive dashboard using FastAPI, Dash, Cytoscape, Uvicorn, Gunicorn, Nginx, AWS, and Let’s Encrypt</li><li>Containerize your apps with Docker and provision infrastructure with Pulumi</li></ul> Whether you’re a citizen scientist, a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

Social Media Observatory

Between the Spreadsheets

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