A Practical Guide To Ai And Data Analytics
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A Practical Guide To Ai And Data Analytics
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Author : Rayan Wali
language : en
Publisher:
Release Date : 2022-01-05
A Practical Guide To Ai And Data Analytics written by Rayan Wali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-05 with categories.
Whether you are looking to prepare for AI/ML/Data Science job interviews or you are a beginner in the field of Data Science and AI, this book is designed for engineers and AI enthusiasts like you at all skill levels. Taking a different approach from a traditional textbook style of instruction, A Practical Guide to AI and Data Analytics touches on all of the fundamental topics you will need to understand deeper into machine learning and artificial intelligence research, literature, and practical applications with its three parts: Part I: A Conceptual (and Visual) Illustration [topics including, but not limited to, are listed below] Fundamentals of Data Science The Data and Machine Learning Pipelines Data Preprocessing + Worked Data Preprocessing Strategy Data Visualization Python for Data Analysis Calculus & Linear Algebra Fundamentals Data Structures and Algorithms Exercises Machine Learning Models & Algorithms (kNN, Neural Networks, Hidden Markov Models, Ensemble Methods, etc.) Deep Learning for Computer Vision & NLP (CNNs, RNNs, etc.) Data Mining Model Deployment Time Series Data Analysis AI Systems in the Real-World Applications of Data Analysis Exercises Database Systems & Cloud Computing (with practical example) Functional Programming for Data Analytics Part II: 10 Full-Length Case Studies Case Study I: Sports Web Scraping Case Study II: NLP Textual Analysis Case Study III: Emergency Response Duration Analysis Case Study IV: MNIST Image Classification Case Study V: COVID-19 Statistical Data Analysis Case Study VI: COVID-19 Chest X-Ray Screening Case Study VII: Signal Strength Geospatial Analysis Case Study VIII: NYC Crash Accidents Data Analysis Case Study IX: Sales Forecasting Case Study X: Meteorite Landings Analysis Part III: A Full-Length Data Science and Analytics Skills Assessment (DSSA) With exercises that span a wide range of AI problems from different domains, from the economics and finance to transportation and medical industries, the DSSA aims to provide a comprehensive assessment to measure your understanding through cleverly-designed AI reasoning, problem-solving, and scenario-based exercises, whether you use it to enhance your understanding in the AI and Data Analytics field or use it to prepare for your AI/Data Analytics problem solving and system design interviews. Section I: 60 Multiple-Choice and Short-Answer Exercises Section II: 5 AI & Data Analytics Problem Solving and Coding Exercises Solutions to Sections I and II are included With an illustrative approach to instruction, worked examples, and case studies, this easy-to-understand book simplifies many of the AI and Data Analytics key concepts, leading to an improvement of AI/ML system design skills.
A Practical Guide To Artificial Intelligence And Data Analytics
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Author : Rayan Wali
language : en
Publisher: Rayan Wali
Release Date : 2021-06-12
A Practical Guide To Artificial Intelligence And Data Analytics written by Rayan Wali and has been published by Rayan Wali this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-12 with Computers categories.
Whether you are looking to prepare for AI/ML/Data Science job interviews or you are a beginner in the field of Data Science and AI, this book is designed for engineers and AI enthusiasts like you at all skill levels. Taking a different approach from a traditional textbook style of instruction, A Practical Guide to AI and Data Analytics touches on all of the fundamental topics you will need to understand deeper into machine learning and artificial intelligence research, literature, and practical applications with its four parts: Part I: Concept Instruction Part II: 8 Full-Length Case Studies Part III: 50+ Mixed Exercises Part IV: A Full-Length Assessment With an illustrative approach to instruction, worked examples, and case studies, this easy-to-understand book simplifies many of the AI and Data Analytics key concepts, leading to an improvement of AI/ML system design skills.
A Practical Guide To Artificial Intelligence In Higher Education Innovation And Applications
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Author : Mageswaran Sanmugam
language : en
Publisher: Springer Nature
Release Date : 2025-07-08
A Practical Guide To Artificial Intelligence In Higher Education Innovation And Applications written by Mageswaran Sanmugam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Education categories.
This book explains how educators can use artificial intelligence in education to enhance student engagement and improve learning outcomes by sharing best practices for using AI to enhance learning quality and foster sustainable teaching. This book covers various topics related to the use of AI in education, from designing activities to using AI in teaching to using AI in assessment by following the ethical considerations of using AI in teaching. The book not only discusses the related topics to using AI in education, but also presents best practices of using AI in teaching and learning from different countries and provides best practices of ethical considerations based on lives experiences of the authors. Furthermore, the book introduces the teaching methods of integrating AI in teaching and learning. Therefore, this book offers essential information and a practical guide to using AI in education.
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.
Driving Digital Transformation Through Data And Ai
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Author : Alexander Borek
language : en
Publisher: Kogan Page
Release Date : 2020-09-29
Driving Digital Transformation Through Data And Ai written by Alexander Borek and has been published by Kogan Page this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-29 with Business & Economics categories.
Avoid being left behind and make data science and artificial intelligence a profitable part of your business with this practical guide to product delivery.
Optimizing Business Processes With Oracle Saas A Practical Guide 2025
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Author : Author:1 - Sravana Kumar Reddy Yeruva Author:2 -Dr Priya Pandey
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Optimizing Business Processes With Oracle Saas A Practical Guide 2025 written by Author:1 - Sravana Kumar Reddy Yeruva Author:2 -Dr Priya Pandey and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In today’s rapidly evolving business landscape, organizations are increasingly turning to cloud-based solutions to enhance their operational efficiency, agility, and competitiveness. Among the most prominent cloud solutions is Oracle SaaS (Software as a Service), a powerful suite of integrated applications that enable businesses to streamline operations, improve decision-making, and achieve greater flexibility in managing resources. With its robust capabilities in areas such as finance, human resources, supply chain, and customer experience, Oracle SaaS is transforming the way organizations operate, helping them to accelerate their digital transformation and drive growth. This book, Optimizing Business Processes with Oracle SaaS: A Practical Guide, is designed to provide practical insights and hands-on guidance for leveraging Oracle SaaS to optimize business processes across various departments and industries. Whether you are a business leader, an IT professional, or an Oracle practitioner, this book will help you understand how to make the most of Oracle’s suite of applications to enhance the efficiency, effectiveness, and scalability of your business processes. Throughout this guide, we will take you through the essential components of Oracle SaaS, explaining its core functionalities, how to integrate it with existing systems, and the best practices for ensuring successful implementation. We will cover key aspects such as cloud adoption, configuration, customization, and integration to help you optimize the finance, HR, supply chain management, and customer relationship management processes. Each chapter is designed to provide actionable advice, with step-by-step instructions and case studies that showcase how organizations have successfully transformed their operations using Oracle SaaS. One of the unique features of Oracle SaaS is its ability to provide businesses with a comprehensive, integrated platform that connects disparate systems and processes, allowing for a more streamlined flow of information and improved decision-making. This book explores how organizations can leverage this integration to break down silos, improve collaboration, and drive business value across the entire organization. We will also explore the role of data analytics, AI, and machine learning in unlocking the full potential of Oracle SaaS, enabling organizations to make data-driven decisions and gain deeper insights into their operations. As businesses continue to navigate the complexities of the digital era, having a deep understanding of how to optimize and manage business processes in the cloud is essential. Oracle SaaS offers powerful tools that can help companies innovate, reduce costs, and improve operational efficiency. However, to fully realize its potential, organizations need to approach the deployment and optimization of Oracle SaaS with careful planning, clear goals, and the right expertise. This book is written with both beginners and advanced users in mind, offering insights that cater to various levels of familiarity with Oracle SaaS. Whether you are just starting to explore cloud solutions or are already experienced with Oracle applications, you will find valuable information to guide you through the process of optimizing business workflows, enhancing productivity, and maximizing ROI with Oracle SaaS. We hope that this book serves as a practical and indispensable resource for you as you embark on your journey to optimize business processes with Oracle SaaS. By the end of this guide, you will not only have a solid understanding of Oracle’s cloud applications but also a strategic framework for driving business transformation and achieving sustainable success in a cloud-first world. Authors
Arrier Certification And Field Testing In The 5g Era A Practical Guide For Engineers And Managers 2025
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Author : Author :1-Kranthi Kiran Kusuma, Author :2- Dr. Anand Singh
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Arrier Certification And Field Testing In The 5g Era A Practical Guide For Engineers And Managers 2025 written by Author :1-Kranthi Kiran Kusuma, Author :2- Dr. Anand Singh and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE The rapid evolution of wireless technology has led to the transformative era of 5G, which promises to revolutionize industries, redefine connectivity, and drive the development of innovative applications across various sectors, including telecommunications, healthcare, automotive, entertainment, and beyond. As 5G networks are deployed worldwide, the demand for high-quality and reliable wireless services has never been greater. This is where carrier certification and field testing play a pivotal role in ensuring that 5G networks meet the stringent performance standards required for such a change in basic assumptions. “Carrier Certification and Field Testing in the 5G Era: A Practical Guide for Engineers and Managers” is written to serve as a comprehensive resource for professionals navigating the complexities of 5G network testing, certification, and deployment. The book addresses the vital role of testing and certification in the success of 5G services, offering practical insights into the strategies, tools, and methodologies required to verify the performance, functionality, and interoperability of 5G systems. Whether you are an engineer tasked with the technical aspects of testing or a manager overseeing the deployment of 5G services, this book provides valuable guidance on the entire certification process, from initial design and lab testing to real-world field trials. In this book, we cover a wide range of topics crucial to 5G network performance validation. We explore the technical aspects of field testing, including signal quality, throughput, latency, and reliability measurements. We also delve into the testing of new 5G technologies, such as millimeter-wave frequencies, massive MIMO (multiple-input, multiple-output), and network slicing. Additionally, the book examines the importance of carrier certification programs, the role of industry standards, and the critical need for collaboration between network operators, equipment vendors, and regulatory bodies to ensure a seamless 5G experience for end users. As the transition from 4G to 5G presents both opportunities and challenges, this guide is designed to equip professionals with the knowledge needed to navigate the technical, operational, and managerial aspects of 5G field testing and certification. The book is intended for engineers, network planners, testers, project managers, and executives who need to understand the intricacies of 5G network validation and the practical challenges involved in ensuring that 5G networks meet the rigorous performance standards set by industry stakeholders. The content is presented in a way that balances both technical depth and accessibility. While it includes detailed explanations of measurement techniques, testing procedures, and equipment, it also offers practical Carrier Certification and Field Testing in the 5G Era: A Practical Guide for Engineers and Managers insights and case studies to help professionals understand how to apply these concepts in real-world scenarios. By incorporating lessons learned from field tests and certification processes, the book provides a well-rounded perspective on the current state of 5G testing and offers a roadmap for future advancements. As 5G continues to shape the future of connectivity, ensuring the reliable performance of 5G networks is paramount. Through this book, we hope to empower engineers and managers with the tools and knowledge necessary to contribute to the successful deployment and optimization of 5G networks, paving the way for the next generation of wireless technology. We invite you to explore this guide and deepen your understanding of carrier certification and field testing in the 5G era. Authors Author :1-Kranthi Kiran Kusuma Author :2- Dr. Anand Singh
Leveraging Chatgpt And Artificial Intelligence For Effective Customer Engagement
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Author : Bansal, Rohit
language : en
Publisher: IGI Global
Release Date : 2024-01-24
Leveraging Chatgpt And Artificial Intelligence For Effective Customer Engagement written by Bansal, Rohit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-24 with Business & Economics categories.
Academic scholars find themselves confronted with a formidable challenge: staying abreast of the ever-evolving landscape of Artificial Intelligence(AI). The intricate interplay between AI and its profound impact on various facets of society, including customer engagement, remains an enigma for many. This knowledge gap not only hampers their ability to contribute meaningfully to their fields but also leaves them trailing behind the dynamic developments taking place in industries worldwide. As AI continues to reshape the business environment, it becomes imperative for academia to bridge this chasm between theory and practice. Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement is an effective solution to the pressing problem at hand. With meticulous clarity, it unravels the complexities of ChatGPT, an innovative AI technology, and its revolutionary potential in the realm of customer engagement. It offers a lifeline to academic scholars seeking to navigate the uncharted territory of AI, providing them with an in-depth understanding of how ChatGPT can reshape customer interactions.
Engineering Ethics Of Ai By Design
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Author : Muthu Ramachandran
language : en
Publisher: Springer Nature
Release Date :
Engineering Ethics Of Ai By Design written by Muthu Ramachandran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Reshaping Humanitarian Logistics With Ai Predictive Analytics And Autonomous Systems
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Author : Akkartal, Erkut
language : en
Publisher: IGI Global
Release Date : 2025-08-12
Reshaping Humanitarian Logistics With Ai Predictive Analytics And Autonomous Systems written by Akkartal, Erkut and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-12 with Social Science categories.
Humanitarian logistics is undergoing a transformation through the integration of AI and autonomous systems. These advanced technologies are enhancing the efficiency of disaster response and relief operations by enabling data driven decisions. From forecasting demand surges to deploying unmanned vehicles for last-mile delivery, the synergy of AI and automation is reshaping the landscape of humanitarian aid. Humanitarian logistics is revolutionizing, offering new possibilities for timely, coordinated, and life-saving interventions. Reshaping Humanitarian Logistics With AI, Predictive Analytics, and Autonomous Systems explores the transformative role of AI, predictive analytics, and autonomous systems in humanitarian logistics. This book highlights the successes and challenges of implementing intelligent systems in humanitarian logistics. Covering topics such as aid distribution, human-machine collaboration, and unmanned aerial vehicles, this book is an excellent resource for humanitarian organizers, policymakers, logistics professionals, researchers, academicians, and more.