Machine Learning And Data Science For Business Optimization A Practical Guide For Data Driven Decision Making
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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
Applied Data Science And Machine Learning For Business Optimization 2025
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Author : Manish tripathi, Dr. Anshita Shukla
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Applied Data Science And Machine Learning For Business Optimization 2025 written by Manish tripathi, Dr. Anshita Shukla and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In today’s data-driven world, businesses are increasingly turning to data science and machine learning (ML) to gain a competitive edge, optimize operations, and make informed decisions. The ability to harness large volumes of data and apply advanced analytical techniques is transforming industries, enabling businesses to improve efficiency, reduce costs, and unlock new growth opportunities. As we enter an era where data is one of the most valuable assets, understanding how to apply data science and ML to real-world business problems is becoming an essential skill for professionals across all sectors. “Applied Data Science and Machine Learning for Business Optimization” aims to provide practical insights into how data science and ML can be utilized to optimize business functions and drive strategic decision-making. This book bridges the gap between theory and practice, offering actionable guidance on implementing advanced analytics and machine learning techniques to solve common business challenges. Whether you are a business analyst, data scientist, or decision-maker, this book equips you with the tools, techniques, and real-world examples needed to leverage data science for business success. The core focus of this book is on applying data science and ML to optimize critical areas of business, such as operations, marketing, customer experience, finance, and supply chain management. Each chapter walks through the methodologies used in data analysis, model building, and performance evaluation, providing a hands-on approach that empowers readers to apply these techniques to their own business contexts. From predictive analytics to recommendation systems, natural language processing, and optimization algorithms, the book covers a wide range of ML tools that are instrumental in solving real-world business problems. A major goal of this book is to showcase the power of data-driven decision-making. With the exponential growth of data and computing power, businesses now have unprecedented opportunities to analyze trends, predict future outcomes, and automate decision-making processes. However, it’s crucial to approach these opportunities with a clear understanding of how to integrate data science and ML into the organizational workflow, while ensuring alignment with business goals and strategies. We believe that the application of data science and ML should not be limited to advanced technologists alone. This book is written to demystify these technologies and make them accessible to business professionals, regardless of their technical background. By focusing on practical case studies, real-world examples, and step-by-step instructions, we hope to empower readers to implement data science and ML solutions that drive measurable business outcomes. Ultimately, the journey of business optimization through data science and machine learning is a continual process of learning, adapting, and evolving. As businesses begin to adopt and scale these technologies, they will unlock new capabilities, enhance operational efficiencies, and build a more agile, data-driven organization. “Applied Data Science and Machine Learning for Business Optimization” serves as a foundational resource to help navigate this transformative journey. We hope this book inspires you to harness the power of data science and machine learning in your own organization, unlocking innovative solutions and driving impactful changes in your business. Authors
Essential Data Analytics Data Science And Ai
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Author : Maxine Attobrah
language : en
Publisher: Springer Nature
Release Date : 2024-12-18
Essential Data Analytics Data Science And Ai written by Maxine Attobrah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.
In today’s world, understanding data analytics, data science, and artificial intelligence is not just an advantage but a necessity. This book is your thorough guide to learning these innovative fields, designed to make the learning practical and engaging. The book starts by introducing data analytics, data science, and artificial intelligence. It illustrates real-world applications, and, it addresses the ethical considerations tied to AI. It also explores ways to gain data for practice and real-world scenarios, including the concept of synthetic data. Next, it uncovers Extract, Transform, Load (ETL) processes and explains how to implement them using Python. Further, it covers artificial intelligence and the pivotal role played by machine learning models. It explains feature engineering, the distinction between algorithms and models, and how to harness their power to make predictions. Moving forward, it discusses how to assess machine learning models after their creation, with insights into various evaluation techniques. It emphasizes the crucial aspects of model deployment, including the pros and cons of on-device versus cloud-based solutions. It concludes with real-world examples and encourages embracing AI while dispelling fears, and fostering an appreciation for the transformative potential of these technologies. Whether you’re a beginner or an experienced professional, this book offers valuable insights that will expand your horizons in the world of data and AI. What you will learn: What are Synthetic data and Telemetry data How to analyze data using programming languages like Python and Tableau. What is feature engineering What are the practical Implications of Artificial Intelligence Who this book is for: Data analysts, scientists, and engineers seeking to enhance their skills, explore advanced concepts, and stay up-to-date with ethics. Business leaders and decision-makers across industries are interested in understanding the transformative potential and ethical implications of data analytics and AI in their organizations.
Ai In Practice A Comprehensive Guide To Leveraging Artificial Intelligence
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date : 2023-06-06
Ai In Practice A Comprehensive Guide To Leveraging Artificial Intelligence written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-06 with Computers categories.
"AI in Practice: A Comprehensive Guide to Leveraging Artificial Intelligence in Business" is a groundbreaking book that provides a comprehensive and practical exploration of the applications, strategies, and considerations involved in leveraging artificial intelligence (AI) in various business domains. Written for professionals, decision-makers, and enthusiasts alike, this book serves as a roadmap to help organizations harness the power of AI to drive innovation, improve efficiencies, and gain a competitive edge in the modern digital landscape.
Product Marketing In The Age Of Generative Ai A Practical Guide
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Author : Varun Grover Dr. Mohsin Fayaz
language : en
Publisher: DeepMisti Publication
Release Date : 2025-02-05
Product Marketing In The Age Of Generative Ai A Practical Guide written by Varun Grover Dr. Mohsin Fayaz and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.
The marketing landscape is undergoing a profound transformation. The advent of generative AI has introduced unprecedented opportunities—and challenges—for product marketers. With tools that can create compelling content, hyper-personalized messaging, and predictive insights at scale, generative AI has changed the rules of engagement. Yet, alongside its promise comes a pressing need to navigate ethical considerations, trustworthiness, and how to maintain the human touch in a world increasingly shaped by algorithms. Product Marketing in the Age of Generative AI is a guide for those at the forefront of this transformation. It’s for product marketers who see generative AI not as a replacement for human ingenuity, but as a powerful partner in driving creativity, efficiency, and impact. This book is about mastering the tools and techniques that generative AI offers while staying rooted in the core principles of great product marketing: understanding your audience, crafting resonant messaging, and driving tangible results. This is not a book about AI hype or abstract theory. Instead, it’s a practical guide grounded in real- world applications, case studies, and actionable strategies. You’ll learn how to integrate generative AI into your marketing workflows, enhance customer engagement, and scale your efforts without sacrificing quality. Along the way, we’ll explore how to leverage AI responsibly, balancing automation with authenticity to build trust and lasting connections. The age of generative AI is not coming—it’s here. And as product marketers, the question isn’t whether to embrace it, but how to do so effectively and ethically. My hope is that this book equips you with the knowledge and confidence to navigate this new frontier, transforming challenges into opportunities and leveraging AI as a force multiplier for your marketing efforts. Whether you’re an experienced marketer looking to stay ahead of the curve or someone new to the field eager to understand how generative AI can enhance your craft, this book is for you. Together, let’s explore how to thrive in this exciting era and redefine what’s possible in product marketing. Welcome to the future of product marketing. Let’s get started.
The Art Of Data Driven Business
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Author : Alan Bernardo Palacio
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-12-02
The Art Of Data Driven Business written by Alan Bernardo Palacio and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-02 with Computers categories.
Learn how to make the right decisions for your business with the help of Python recipes and the expertise of data leaders Key FeaturesLearn and practice various clustering techniques to gather market insights Explore real-life use cases from the business world to contextualize your learningWork your way through practical recipes that will reinforce what you have learnedBook Description One of the most valuable contributions of data science is toward helping businesses make the right decisions. Understanding this complicated confluence of two disparate worlds, as well as a fiercely competitive market, calls for all the guidance you can get. The Art of Data-Driven Business is your invaluable guide to gaining a business-driven perspective, as well as leveraging the power of machine learning (ML) to guide decision-making in your business. This book provides a common ground of discussion for several profiles within a company. You'll begin by looking at how to use Python and its many libraries for machine learning. Experienced data scientists may want to skip this short introduction, but you'll soon get to the meat of the book and explore the many and varied ways ML with Python can be applied to the domain of business decisions through real-world business problems that you can tackle by yourself. As you advance, you'll gain practical insights into the value that ML can provide to your business, as well as the technical ability to apply a wide variety of tried-and-tested ML methods. By the end of this Python book, you'll have learned the value of basing your business decisions on data-driven methodologies and have developed the Python skills needed to apply what you've learned in the real world. What you will learnCreate effective dashboards with the seaborn libraryPredict whether a customer will cancel their subscription to a serviceAnalyze key pricing metrics with pandasRecommend the right products to your customersDetermine the costs and benefits of promotionsSegment your customers using clustering algorithmsWho this book is for This book is for data scientists, machine learning engineers and developers, data engineers, and business decision makers who want to apply data science for business process optimization and develop the skills needed to implement data science projects in marketing, sales, pricing, customer success, ad tech, and more from a business perspective. Other professionals looking to explore how data science can be used to improve business operations, as well as individuals with technical skills who want to back their technical proposal with a strong business case will also find this book useful.
Machine Learning Optimization And Data Science
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Author : Giuseppe Nicosia
language : en
Publisher: Springer
Release Date : 2019-02-16
Machine Learning Optimization And Data Science written by Giuseppe Nicosia and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-16 with Computers categories.
This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018.The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.
Encyclopedia Of Business Analytics And Optimization
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2014-02-28
Encyclopedia Of Business Analytics And Optimization written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Business & Economics categories.
As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.
How To Do Growth Hacking A Practical Guide
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Author : Samuel James
language : en
Publisher: Dr. Samuel Inbaraja S
Release Date : 2023-08-11
How To Do Growth Hacking A Practical Guide written by Samuel James and has been published by Dr. Samuel Inbaraja S this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-11 with Business & Economics categories.
"How to Do Growth Hacking - A Practical Guide" is more than a book; it's a growth companion. Whether you're just starting your growth hacking journey or looking to refine your existing strategies, this book offers the practical knowledge, ethical guidance, and innovative insights you need to thrive in today's business environment. It's not just about growing fast; it's about growing smart, sustainably, and ethically. Make this guide your trusted partner in that growth journey. How This Book will Help Solve Your Problems Whether you're struggling to acquire new customers, retain existing ones, or scale your business, this book serves as a problem-solving toolkit. The step-by-step guidance on topics like customer acquisition (Chapter 4), retention strategies (Chapter 6), and scaling up (Chapter 14) ensures that you have a roadmap tailored to your unique challenges. Practical Help for Real-world Challenges Unlike generic business guides, "How to Do Growth Hacking - A Practical Guide" is designed with real-world applicability in mind. The hands-on worksheets, case studies, and actionable insights are crafted to provide solutions to the challenges you face in your daily business operations. 1. Comprehensive Coverage of Growth Hacking Essentials From the foundational mindset of a growth hacker to the future of AI and machine learning in growth hacking, this guide offers 18 comprehensive chapters that cover every facet of growth hacking. This isn't just a theoretical exploration; each chapter provides practical insights, tools, and methods that you can apply immediately. 2. Hands-On Approach with Dedicated Worksheets Chapter 18 is dedicated to worksheets that are designed to help you translate theory into action. These exercises and templates will guide you in implementing the strategies discussed in the book, making it a truly interactive learning experience. 3. Emphasis on Ethical Considerations In the wake of rising consumer awareness and regulatory scrutiny, Chapter 15 focuses on ethical considerations in growth hacking. This section ensures that you understand how to conduct growth hacking responsibly, building trust and integrity. 4. Insights into the Latest Trends and Technologies Chapter 16 delves into the future of growth hacking, exploring AI, machine learning, and emerging trends. Staying ahead of the curve is essential in this ever-evolving field, and this book equips you with the knowledge to innovate and adapt to technological advancements.
Leading In Analytics
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Author : Joseph A. Cazier
language : en
Publisher: John Wiley & Sons
Release Date : 2023-11-07
Leading In Analytics written by Joseph A. Cazier and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-07 with Computers categories.
A step-by-step guide for business leaders who need to manage successful big data projects Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You’ll learn which aspects of the project to pay attention to, the right questions to ask, and how to keep the project team focused on its mission to produce relevant and valuable project. As an executive, you can’t control every aspect of the process. But if you focus on high-impact factors that you can control, you can ensure an effective outcome. This book describes those factors and offers practical insight on how to get them right. Drawn from best-practice research in the field of analytics, the Manageable Tasks described in this book are specific to the goal of implementing big data tools at an enterprise level. A dream team of analytics and business experts have contributed their knowledge to show you how to choose the right business problem to address, put together the right team, gather the right data, select the right tools, and execute your strategic plan to produce an actionable result. Become an analytics-savvy executive with this valuable book. Ensure the success of analytics initiatives, maximize ROI, and draw value from big data Learn to define success and failure in analytics and big data projects Set your organization up for analytics success by identifying problems that have big data solutions Bring together the people, the tools, and the strategies that are right for the job By learning to pay attention to critical tasks in every analytics project, non-technical executives and strategic planners can guide their organizations to measurable results.