Empowering The Citizen Data Scientist In Everyone

This book contains our citizen data science philosophy, theories of machine learning explained in plain English, practical applications for many types of predictive and interpretable models, and the software and datasets required for doing real data science without becoming a data scientist. The data mining process flows, hosted in Jupyter notebooks along with the datasets in the cloud, are complete, and templates are fully populated for all main types of models. In fact, this book is where template-driven data analytics gets its start, but you will decide where it ends as it can be applied to limitless situations. While the backend technology is very advanced, you can use a Chromebook to build, run, and analyze professional-grade machine learning models using this guide.

Learn the key skills and capabilities that empower Citizens of Data Science to not only survive but thrive in an AI-dominated world. Purchase of the print or Kindle book includes a free PDF eBook Key Features Prepare for a future dominated by AI and big data Enhance your AI and data literacy with real-world examples Learn how to leverage AI and data to address current and future challenges Book DescriptionAI is undoubtedly a game-changing tool with immense potential to improve human life. This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape. We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions. Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed. Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.What you will learn Get to know the fundamentals of data literacy, privacy, and analytics Find out what makes AI tick and the role of the AI utility function Make informed decisions using prominent decision-making frameworks Understand relevant statistics and probability concepts Create new sources of value by leveraging and applying AI and data Apply ethical parameters to AI development with real-world examples Find out how to get the most out of ChatGPT and its peers Who this book is forThis book is designed to benefit everyone from students to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their AI and Data literacy.

This is the playbook you've been waiting for. Ms. Harris reaches beyond the hype to give you practical, actionable insights that you can use today to equip your analysts to become Citizen Data Scientists -- powerful, front-line players who are powerful catalysts for your overall data science strategy. Learn how to bring your data scientists and analysts together to practice data science as a team sport.CATALYZING THE MODERN ANALYTICS REVOLUTIONThe analytics hype is officially at fever pitch, but today's organizations still struggle to harness modern analytics tools in a way that actually makes a difference for the business. If you're skeptical that doing another deployment and hiring more data scientists is going to move the needle, what's the answer instead?Step forward into a modern analytics capability by developing and unleashing the power of Citizen Data Scientists across your enterprise. Your Center of Excellence may be world class, but it can't scale fast enough to meet demand from the business. Empower both your analysts and data scientists in a way that allows Data Science to yield its greatest gains when practiced as a team sport.

Gain Powerful Insights with SAS Viya! Whether you are an executive, departmental decision maker, or analyst, the need to leverage data and analytical techniques in order make critical business decisions is now crucial to every part of an organization. Smart Data Discovery with SAS Viya: Powerful Techniques for Deeper Insights provides you with the necessary knowledge and skills to conduct a smart discovery process and empower you to ask more complex questions using your data. The book highlights key components of a smart data discovery process utilizing advanced machine learning techniques, powerful capabilities from SAS Viya, and finally brings it all together using real examples and applications. With its step-by-step approach and integrated examples, the book provides a relevant and practical guide to insight discovery that goes beyond traditional charts and graphs. By showcasing the powerful visual modeling capabilities of SAS Viya, it also opens up the world of advanced analytics and machine learning techniques to a much broader set of audiences.

The ongoing struggle to increase literacy within our population is one of the defining goals of education. Educational environments continue to incorporate more and more technology into their cache of necessary tools as the lives of their students depend on these devices at a growing rate. Artificial intelligence (AI) and literacy education are bound to face a convergence that will be a transformative force. AI Approaches to Literacy in Higher Education delves into the synergies between advanced technology and the cultivation of literacy skills, illuminating innovative methodologies and applications that redefine educational paradigms. This book is a comprehensive analysis of AI's potential to elevate literacy among higher education students. The book strategically integrates research studies, case analyses, and theoretical perspectives to construct a nuanced understanding of AI's role in shaping literacy outcomes. This work uncovers the intricate interplay between technology and academic literacy by utilizing a tapestry of AI-driven tools, strategies, and techniques. Educators, researchers, instructional designers, and higher education professionals will find this book invaluable.

The technological advances of the past century have been extraordinary, particularly in areas like information technology and artificial intelligence. These leaps can be traced back to the Age of Enlightenment, which emphasized reason and science over tradition. However, this period also gave rise to materialism, leading to the entrenchment of theories like Darwinian evolution in academia, despite mounting evidence to the contrary. This adherence to dogma has led to "scientism"—the overreach of science beyond its capabilities. True science should acknowledge its limits, remain open to evidence, and not suppress alternate perspectives. Science and Christianity are not incompatible; science reveals the complexity and design of God's creation, reflecting the innovation of the Divine Mind. Volume II explores significant trends in Science and Technology as "Burning Bushes," relating them to the Christian faith. It covers compelling topics such as Quantum Mechanics, Digital Transformation, Artificial Intelligence, DNA, and other evidential support challenging traditional Darwinian Evolution, the science of the Human Body, Transhumanism and Humanity 2.0, Decentralization and Web3 (including digital currencies and Bitcoin), and technological doomsday scenarios. Each chapter provides pragmatic, biblical, and actionable recommendations. The book aims to provide a holistic, scientifically sound, and biblically integrated perspective on emerging technologies' promises and challenges. It seeks to correct scientifically inconsistent approaches that sidestep Intelligent Design as well as purpose. By exploring these themes, the book offers a balanced view that acknowledges both the potential and perils of rapid technological advancement, grounded in a factual, meaningful, and scientifically grounded worldview.

In today’s competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately. Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

As the need for sustainable development practices around the world continues to grow, it has become imperative for citizens to become actively engaged in the global transition. By evaluating data collected from various global programs, researchers are able to identify strategies and challenges in implementing civic engagement initiatives. Analyzing the Role of Citizen Science in Modern Research focuses on analyzing data on current initiatives and best practices in citizen engagement and education programs across various disciplines. Highlighting emergent research and application techniques within citizen science initiatives, this publication appeals to academicians, researchers, policy makers, government officials, technology developers, advanced-level students and program developers interested in launching or improving citizen science programs across the globe.