Machine Learning Explained A Practical Guide To Data Driven Decision Making
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Machine Learning Explained A Practical Guide To Data Driven Decision Making
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Author : Abdelhamid ZAIDI
language : en
Publisher: Xoffencerpublication
Release Date : 2023-10-30
Machine Learning Explained A Practical Guide To Data Driven Decision Making written by Abdelhamid ZAIDI and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-30 with Computers categories.
During the course of the process of making a choice, we rely on a variety of presumptions, premises, and the circumstances; all of this is directed by the goal that is related with the decision itself. However, the premises and the knowledge of the corporation are dependent on our data since they are an essential component of our organization as a system. The context and the assumptions are both external factors that are beyond the control of any decision maker. Both the background and the assumptions represent outside forces that are not within the control of any decision maker. A prominent example of a conceptual error is the misunderstanding that exists between data and information, which in reality correspond to entirely distinct ideas. This misunderstanding is a common occurrence. In point of fact, information and data cannot in any way be substituted for one another in any context. To put this another way, there is no guarantee that the data will be consistent, comparable, or traceable, despite the fact that we are able to collect data from a broad variety of distinct data sources. This is because there are so many diverse data sources. Because of this, in order for us to make a decision, we need to have a good comprehension of both the component that is presently being examined and the data that is linked with it at the present time. Only then will we be able to make an informed choice. The identification of the system itself is the first step that must be taken before any other aspects of the system, such as its boundaries, context, subsystems, feedback, inputs, and outputs, can be determined. Because of this, it is significant because, according to the point of view connected with general system theory, it is necessary to identify the system that is being discussed. In order to get a more in-depth understanding of the system, we must first begin by defining it. After that, we may proceed to quantifying each associated quality in order to achieve this goal. This would make it possible for us to have a better understanding of the system. Because of this, in order for us to collect information on the topic of the research, we will initially need to measure it in order to quantify the characteristics that are associated with it. For this, we will need to perform certain measurements on the subject. After that, we will establish the indicators that will be applied for the purpose of determining the value of each measure, and we will do so by utilizing the results of the stage that came before it. Within the context of this method, the Measurement and Evaluation (M&E) process can gain an advantage from making use of a conceptual framework that is built on top of an underlying ontology. The M&E framework makes it possible to describe the basic ideas, which prepares the way for a measurement process to be carried out in a manner that is consistent and repeatable. This is made possible by the fact that the framework makes it possible to specify the essential concepts. The ability of a measuring process to be automated is of the utmost significance, even if it is required for a measuring process to give findings that are consistent, comparable, and traceable. The ability of a measuring process to be automated is of the utmost relevance. Because the activities that take place in today's economy take place in real time, we need to pay considerable attention to the use of online monitoring in order to notice and avoid a variety of different scenarios while they are happening. Because of this, we will be able to reduce risk while maximizing our efficiency. In this regard, the functionality of the measurement and evaluation frameworks is an extremely valuable asset, as they make it possible to organize and automate the process of measuring in a manner that is consistent. This makes the frameworks an exceptionally helpful asset. As a result of this, the frameworks are a very useful asset. As soon as it is feasible to guarantee that the measurements are comparable, consistent, and traceable, the method of decision-making will naturally be based on their history, which will consist of the measurements collected throughout the years. This will be the case as soon as it is possible to guarantee that the measurements are comparable, consistent, and traceable. This will take place as soon as it is practical to assure that the measurements are comparable, consistent, and traceable. In this regard, the organizational memory is of special importance due to the fact that it makes it possible to store prior organizational experience and knowledge in order to get ready for future proposals (that is, as the foundation for a range of different assumptions and premises, among other things). In this regard, the organizational memory is of particular use. Because of this, the organizational memory is a component that is of very high importance. Measurements and the experiences that are associated with them provide continuous nourishment for the organizational memory, and the organizational memory provides the foundation for the feedback that is utilized in the process of decision making.
Machine Learning And Data Science For Business Optimization A Practical Guide For Data Driven Decision Making
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Author : Sushira Somavarapu Om Goel
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-15
Machine Learning And Data Science For Business Optimization A Practical Guide For Data Driven Decision Making written by Sushira Somavarapu Om Goel and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Computers categories.
Machine Learning and Data Science for Business Optimization: A Practical Guide for Data-Driven Decision Making
Artificial Intelligence And Machine Learning For Business
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Author : Steven Finlay
language : en
Publisher: Relativistic
Release Date : 2018-07
Artificial Intelligence And Machine Learning For Business written by Steven Finlay and has been published by Relativistic this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07 with categories.
Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original.
Interpretable Machine Learning
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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020
Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Data Driven Business Insights A Practical Guide To Maximizing Value
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-07
Data Driven Business Insights A Practical Guide To Maximizing Value written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-07 with Business & Economics categories.
In the era of data abundance, businesses that harness the power of data-driven insights gain a significant competitive advantage. "Data-Driven Business Insights: A Practical Guide to Maximizing Value" provides a comprehensive roadmap for organizations seeking to transform data into actionable insights that drive business success. This book delves into the intricacies of data-driven decision-making, guiding readers through the challenges and opportunities of extracting meaningful insights from vast amounts of data. It presents a step-by-step framework for navigating the data-driven decision-making process, empowering businesses to make data-centric choices aligned with their strategic objectives. Furthermore, the book emphasizes the importance of data collection and preparation, providing practical guidance on gathering relevant data, cleaning and transforming it for analysis, and ensuring data integrity and consistency. It explores techniques for data integration and harmonization, enabling organizations to combine data from disparate sources and gain a holistic view of their operations. The book also explores data analysis and interpretation techniques, empowering businesses to understand data patterns, make informed conclusions, and communicate insights effectively. It introduces descriptive and inferential statistics, data visualization techniques, and machine learning concepts, providing readers with the tools to extract deeper insights from data. To maximize the value of data, the book emphasizes the development of business insights, guiding readers in identifying patterns and trends, testing hypotheses, and building predictive models. It also highlights the importance of data governance and security, outlining best practices for data governance frameworks, data security and privacy, and data quality management. Throughout the book, readers will find real-world case studies that illustrate the practical application of data-driven insights across various industries. These case studies demonstrate how organizations have leveraged data to make informed decisions, innovate, and achieve tangible business results. If you like this book, write a review!
Cloud Based Machine Learning Practical Guide To Deploying Ai Models In The Cloud
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Author : Hemanth Volikatla
language : en
Publisher: RK Publication
Release Date : 2024-05-15
Cloud Based Machine Learning Practical Guide To Deploying Ai Models In The Cloud written by Hemanth Volikatla and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Computers categories.
Cloud-Based Machine Learning – Practical Guide to Deploying AI Models in the Cloud is a comprehensive resource designed to help professionals and enthusiasts harness the power of cloud platforms for AI deployment. It's key concepts, tools, and techniques for building, training, and deploying machine learning models using services like AWS, Azure, and Google Cloud. With practical examples, step-by-step instructions, and best practices, this guide empowers readers to scale AI solutions efficiently, ensuring robust performance and seamless integration into real-world applications. Perfect for beginners and experts aiming to advance their skills in cloud-based AI technologies.
Data Driven Decision Making
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Author : Aadinath Pothuvaal
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Data Driven Decision Making written by Aadinath Pothuvaal and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Data-Driven Decision Making" explores the dynamic world of analytics, technology, and strategic decision-making. Authored by leading experts, this comprehensive guide serves as a beacon for individuals and organizations navigating the evolving landscape of data-driven decisions. We delve into harnessing data's power to inform and transform decisions across various domains. Through an interdisciplinary lens, the book integrates philosophy, technology, and real-world applications, guiding readers toward making informed, strategic choices in an era of data abundance. Key features include foundational principles, cutting-edge technologies, practical applications, ethical considerations, and global perspectives. Readers gain insights into AI, machine learning, advanced analytics, and data visualization. Real-world case studies illustrate how organizations leverage data for competitive advantage and innovation. Ethical dimensions are addressed, focusing on privacy, bias, and responsible use of emerging technologies. The book also provides actionable strategies for implementing data-driven approaches, optimizing decision support systems, and fostering a data-driven culture. "Data-Driven Decision Making" equips readers with knowledge and tools to navigate the intricate intersection of data, technology, and strategy.
The Ultimate Guide To The Top 100 Computers Technology Books
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Author : Navneet Singh
language : en
Publisher: Navneet Singh
Release Date :
The Ultimate Guide To The Top 100 Computers Technology Books written by Navneet Singh and has been published by Navneet Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
Introduction Technology is evolving faster than ever, shaping how we work, communicate, and innovate. The best books in computing and technology provide foundational knowledge, expert insights, and future predictions that help us navigate the digital world. This book highlights 100 must-read technology books, offering summaries, author insights, and why each book is influential. Whether you're a programmer, IT professional, tech entrepreneur, or an enthusiast, this guide will help you explore the most essential reads in the field.
Ethics Machine Learning And Python In Geospatial Analysis
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Author : Galety, Mohammad Gouse
language : en
Publisher: IGI Global
Release Date : 2024-04-29
Ethics Machine Learning And Python In Geospatial Analysis written by Galety, Mohammad Gouse and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Technology & Engineering categories.
In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to efficiently handle vast volumes of geospatial data while providing insightful and actionable results. Scholars and practitioners grapple with manual or rule-based approaches, hindering progress in understanding and addressing pressing issues such as climate change, urbanization, and resource management. Ethics, Machine Learning, and Python in Geospatial Analysis offers a solution to the challenges faced by leveraging the extensive library support and user-friendly interface of Python and machine learning. The book’s meticulously crafted chapters guide readers through the intricacies of Python programming and its application in geospatial analysis, from fundamental concepts to advanced techniques.
Transforming Classroom Behavior A Practical Guide For Modern Teachers
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Author : Brittney Morrow
language : en
Publisher: David Merrick
Release Date : 2025-04-22
Transforming Classroom Behavior A Practical Guide For Modern Teachers written by Brittney Morrow and has been published by David Merrick this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-22 with Juvenile Nonfiction categories.
Are you tired of feeling like a referee in your own classroom? Do disruptive behaviors leave you feeling frustrated and powerless? This book offers a lifeline, providing practical, evidence-based strategies to transform classroom chaos into a productive and positive learning environment. Gone are the days of relying solely on outdated disciplinary methods. This guide offers a fresh perspective, recognizing that today's students require a more nuanced approach. You'll learn how to: Understand the root causes of challenging behaviors. Discover the "why" behind student actions, allowing you to address the issue at its core. Cultivate a respectful and supportive classroom culture. Learn proven techniques to foster a sense of belonging and encourage positive interactions. Implement effective strategies for preventing and managing disruptions. From proactive classroom management to creative interventions, you'll be equipped to handle any situation with confidence. Collaborate with parents and guardians. Build strong partnerships with families to create a consistent support system for students. This book is more than just theory – it's a practical toolkit filled with real-world examples, customizable resources, and actionable steps you can implement immediately. Whether you're a new teacher searching for guidance or a seasoned professional seeking fresh ideas, this guide will empower you to create a classroom where all students can thrive.