Ai For Predictive Analytics
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Ai For Predictive Analytics
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Author : GREYSON. CHESTERFIELD
language : en
Publisher: Independently Published
Release Date : 2025-03-16
Ai For Predictive Analytics written by GREYSON. CHESTERFIELD and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-16 with Computers categories.
AI for Predictive Analytics: Forecasting with Machine Learning is your comprehensive guide to using artificial intelligence (AI) and machine learning (ML) for analyzing historical data and predicting future trends. This book explores the powerful role of AI in predictive analytics and how it is transforming industries like finance, healthcare, retail, and beyond by turning data into actionable insights. With clear explanations, practical examples, and hands-on tutorials, you'll learn how to apply AI and ML algorithms to forecast trends, make data-driven decisions, and optimize business operations. Whether you're a data scientist, analyst, or business leader, this book will equip you with the tools to leverage predictive analytics for success in your industry. Inside, you'll discover: Introduction to Predictive Analytics: Understand the basics of predictive analytics and the role AI plays in analyzing historical data to forecast future outcomes. Learn how predictive modeling and forecasting are applied in real-world scenarios. Machine Learning Algorithms for Forecasting: Dive into the machine learning algorithms used for predictive analytics, such as linear regression, decision trees, random forests, and neural networks. Learn how these algorithms help identify patterns and make predictions based on past data. Preparing Data for Predictive Modeling: Learn the importance of data cleaning, preprocessing, and feature engineering in building accurate predictive models. Discover techniques for handling missing data, outliers, and scaling data for machine learning algorithms. Time Series Forecasting: Explore the principles of time series analysis and how machine learning can be applied to predict trends over time. Learn how to work with time series data, including seasonal and trend components, and build models for accurate forecasting. Predictive Analytics in Finance: Discover how AI and machine learning are used in the finance industry for credit scoring, risk management, stock market prediction, and fraud detection. Learn how to apply predictive models to financial datasets for better decision-making. Predictive Analytics in Healthcare: Understand how predictive analytics is revolutionizing healthcare by forecasting patient outcomes, disease progression, and treatment efficacy. Learn how AI models are used in diagnostics, personalized medicine, and resource allocation. Evaluating and Improving Predictive Models: Learn how to evaluate the accuracy of predictive models using performance metrics like RMSE, MAE, and R-squared. Discover techniques for tuning models and improving their predictive power through cross-validation and hyperparameter optimization. Advanced Techniques in Predictive Analytics: Delve into advanced machine learning methods, such as ensemble learning, deep learning, and reinforcement learning, and understand how these techniques can be applied to more complex predictive tasks. Deploying Predictive Models in Production: Learn how to deploy machine learning models into production environments, manage model performance over time, and update models as new data becomes available. Ethical Considerations in Predictive Analytics: Explore the ethical implications of predictive analytics, including data privacy, algorithmic bias, and transparency in decision-making. Understand the importance of fairness and accountability in AI-driven predictions. By the end of this book, you'll be well-equipped to use AI and machine learning for predictive analytics, forecast trends, and make data-driven decisions in industries like finance, healthcare, and more.
Ai Based Predictive Analytics
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Author : Minghai Zheng
language : en
Publisher: Independently Published
Release Date : 2023-06-02
Ai Based Predictive Analytics written by Minghai Zheng and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-02 with categories.
1. #DataDrivenDecisions #PredictiveAnalytics Unlock the power of data-driven decisions with AI-based predictive analytics! This book provides the insights and tools you need to make informed decisions based on data. 2. #AIinBusiness #PredictiveModeling Stay ahead of the competition with AI-based predictive analytics. Learn how to implement predictive modeling in your business with this must-read book. 3. #BigDataInsights #DecisionMaking Want to make better decisions based on big data insights? Look no further than "AI-Based Predictive Analytics." This book is your ultimate guide to leveraging the power of AI for predictive analytics. 4. #MachineLearning #DataAnalysis Discover the latest machine learning techniques for data analysis with "AI-Based Predictive Analytics." This book will help you make sense of complex data sets and turn them into actionable insights. 5. #BusinessIntelligence #AIinAction Maximize your business intelligence capabilities with AI-based predictive analytics. Get your copy of this book to learn how to implement these powerful strategies in your organization. In today's data-driven world, predictive analytics has emerged as a powerful tool for organizations looking to make informed decisions based on data. By analyzing historical data and identifying patterns, predictive analytics enables businesses to predict future outcomes and take proactive measures to improve outcomes. With the rise of artificial intelligence (AI), predictive analytics has become even more sophisticated, offering new ways to analyze data and uncover insights that were previously impossible to obtain. The book "AI-Based Predictive Analytics: Empowering Data-Driven Decisions" provides a comprehensive guide on how to implement AI-based predictive analytics strategies in your organization. Whether you're an analyst, data scientist, or business leader, this book will provide you with practical insights and tools to improve decision-making and drive success. In this book, we'll explore various ways in which AI can be used in predictive analytics. We'll discuss the latest machine learning techniques, including deep learning, natural language processing, and regression analysis. Additionally, we'll examine case studies of successful implementations of AI-based predictive analytics in different industries, along with the benefits and challenges associated with these implementations. Whether you're looking to reduce costs, improve efficiency, or enhance customer experiences, this book will provide you with the knowledge and tools needed to achieve your goals. The chapters that follow will delve deeper into specific topics related to AI-based predictive analytics, providing you with a comprehensive guide for implementing these strategies in your organization. MingHai Zheng is the founder of zhengpublishing.com and lives in Wuhan, China. His main publishing areas are business, management, self-help, computers and other emerging foreword fields.
Data Driven Modelling And Predictive Analytics In Business And Finance
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Author : Alex Khang
language : en
Publisher: CRC Press
Release Date : 2024-07-24
Data Driven Modelling And Predictive Analytics In Business And Finance written by Alex Khang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24 with Computers categories.
Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent. Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.
Predictive Analytics And Generative Ai For Data Driven Marketing Strategies
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Author : Hemachandran K
language : en
Publisher: CRC Press
Release Date : 2024-12-10
Predictive Analytics And Generative Ai For Data Driven Marketing Strategies written by Hemachandran K and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Computers categories.
In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategies includes real-world case studies and examples from diverse marketing domains. This book demonstrates how predictive analytics and generative AI have been successfully applied to solve marketing challenges and drive tangible results. This book showcases emerging trends in predictive analytics and generative AI for marketing, and their potential impact on the future of data-driven marketing. This book is meant for professionals and scholars to gather the skills and resources to use predictive analytics and generative AI effectively for marketing strategies. This book: • Examines the different predictive analytics models and algorithms, such as regression analysis, decision trees, and neural networks, and demonstrates how they may be utilized to get insightful conclusions from marketing data. • Includes generative AI techniques, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), showcasing how these techniques can generate synthetic data for marketing insights and decision-making. • Highlights the importance of data-driven marketing choices and illustrates how generative AI and predictive analytics may be quite useful in this context. • Integrates the principles of data science with marketing concepts, offering a cohesive understanding of how predictive analytics and generative AI can power data-driven marketing decisions. • Presents the recent advances in predictive analytics and generative AI and discusses how they can affect the area of data-driven marketing.
Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value
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Author : Eric Anderson
language : en
Publisher: McGraw Hill Professional
Release Date : 2020-11-23
Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value written by Eric Anderson and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Business & Economics categories.
Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.
Evolving Predictive Analytics In Healthcare
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Author : Abhishek Kumar
language : en
Publisher: IET
Release Date : 2022-08-30
Evolving Predictive Analytics In Healthcare written by Abhishek Kumar and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-30 with Computers categories.
A major use of practical predictive analytics in medicine has been in the diagnosis of current diseases, particularly through medical imaging. Now there is sufficient improvement in AI, IoT and data analytics to deal with real time problems with an increased focus on early prediction using machine learning and deep learning algorithms. With the power of artificial intelligence alongside the internet of 'medical' things, these algorithms can input the characteristics/data of their patients and get predictions of future diagnoses, classifications, treatment and costs.
Artificial Intelligence For Business Analytics
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Author : Felix Weber
language : en
Publisher: Springer Nature
Release Date : 2023-03-01
Artificial Intelligence For Business Analytics written by Felix Weber and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-01 with Computers categories.
While methods of artificial intelligence (AI) were until a few years ago exclusively a topic of scientific discussions, today they are increasingly finding their way into products of everyday life. At the same time, the amount of data produced and available is growing due to increasing digitalization, the integration of digital measurement and control systems, and automatic exchange between devices (Internet of Things). In the future, the use of business intelligence (BI) and a look into the past will no longer be sufficient for most companies.Instead, business analytics, i.e., predictive and predictive analyses and automated decisions, will be needed to stay competitive in the future. The use of growing amounts of data is a significant challenge and one of the most important areas of data analysis is represented by artificial intelligence methods.This book provides a concise introduction to the essential aspects of using artificial intelligence methods for business analytics, presents machine learning and the most important algorithms in a comprehensible form using the business analytics technology framework, and shows application scenarios from various industries. In addition, it provides the Business Analytics Model for Artificial Intelligence, a reference procedure model for structuring BA and AI projects in the company. This book is a translation of the original German 1st edition Künstliche Intelligenz für Business Analytics by Felix Weber, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.
Ai Augmented Data Scientist
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Author : HEBooks
language : en
Publisher: Hebooks
Release Date :
Ai Augmented Data Scientist written by HEBooks and has been published by Hebooks this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
AI-Augmented Data Scientist: How to Use Artificial Intelligence for Predictive Analytics, Machine Learning Models, and Big Data Insights Are you drowning in data and deadlines—while AI-powered competitors surge ahead? You're not alone. The world of data science is changing faster than most can keep up. Companies are no longer just using AI to support analysts—they're amplifying their top talent , automating the mundane, and unlocking insights at lightning speed. Inside this book, you’ll discover how to stop fighting the future—and start leading it. From automating data prep with LLMs , to building smarter models with AI-driven code , all the way to explaining results like a pro and staying ethically sharp , this book gives you the blueprint to become the new breed of data scientist: AI-augmented, ultra-productive, and relentlessly strategic . No fluff. No theory. Just real tools, real workflows, and real results. If you want to stay relevant, valuable, and ahead of the curve—this book is your edge.
Ai Data Driven Decisions
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Author : Joe Correa
language : en
Publisher:
Release Date : 2025-11-20
Ai Data Driven Decisions written by Joe Correa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-20 with Business & Economics categories.
Unlock the power of AI to transform your business into a self-learning, predictive, and globally adaptive enterprise. In AI Data-Driven Decisions: Use Predictive Analytics to Increase Profit, Joe Correa guides you step-by-step on leveraging artificial intelligence to predict trends, automate decisions, innovate products, and scale responsibly across markets and cultures. Whether you're a business owner, executive, or entrepreneur, this book provides actionable strategies to maximize profit while maintaining ethical leadership. Inside you'll discover how to: Harness predictive analytics to anticipate market trends before your competitors. Automate business processes and decision-making without losing control. Build continuous learning loops that make your AI smarter every month. Launch innovative products using AI-powered ideation and validation. Scale globally with multilingual, culturally-aware AI systems. Establish AI governance for ethical, resilient, and sustainable growth. Integrate human vision with AI precision to lead smarter, faster, and more responsibly. Take control of the future of your business - start reading and turning data into profit, insight into innovation, and intelligence into action!
Evolving Predictive Analytics In Healthcare
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Author : Abhishek Kumar
language : en
Publisher:
Release Date : 2022
Evolving Predictive Analytics In Healthcare written by Abhishek Kumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
This book examines machine learning trends in predictive technology to solve real-time healthcare problems. By using real-time data inputs to build predictive models, this new technology can model disease progression, assist with interventions or predict patient outcomes.