Data Science And Ai Simplified
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Data Science And Ai Simplified
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Author : Ekaaksh Deshpande
language : en
Publisher: Educohack Press
Release Date : 2025-01-03
Data Science And Ai Simplified written by Ekaaksh Deshpande and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
The illustrations in this book are created by “Team Educohack”. Data Science and AI Simplified provides comprehensive knowledge on the theories, techniques, and applications in Analytics, Data Science, and Artificial Intelligence (AI). We cover the entire analytics process, from data collection and processing to analysis and interpretation, helping you derive valuable insights that can significantly impact businesses. We explain data science, focusing on how to transform raw data into valuable information for strategic business development. By analyzing large amounts of structured and unstructured data, organizations can identify patterns, reduce costs, and increase performance and efficiency. Our book also explores AI, demonstrating how machines learn from experience, adapt to new inputs, and perform human-like tasks. From chess-playing computers to self-driving cars, we delve into AI applications that rely on deep learning and natural language processing. Whether you're a beginner or looking to expand your expertise, Data Science and AI Simplified offers clear, easy-to-understand explanations and practical examples, ensuring a thorough grasp of these essential fields.
Data Analytics And Ai
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Author : Jay Liebowitz
language : en
Publisher: CRC Press
Release Date : 2020-08-06
Data Analytics And Ai written by Jay Liebowitz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-06 with Computers categories.
Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.
Python Simplified With Generative Ai
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Author : Duc T. Haba
language : en
Publisher: BPB Publications
Release Date : 2025-04-25
Python Simplified With Generative Ai written by Duc T. Haba and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Computers categories.
DESCRIPTION GenAI and Python are changing how we use technology, making it essential to understand both to stay innovative and work efficiently. GenAI significantly impacts learning Python by generating personalized code snippets, accelerating the learning process. This book bridges the gap between traditional education and the practical challenges students encounter today. It combines hands-on learning with modern GenAI tools like GPT-4 and Copilot. The book begins with fundamental GenAI concepts, including GPT-4 and Gemini, and mastering prompt engineering for optimal GenAI interaction. Instead of starting with technical details like algorithms and syntax, it introduces coding through interactive, practical Python Jupyter Notebooks and Google Colab projects. Readers will learn Python code with a calculator application, explore fundamental sorting algorithms, and manipulate data using Pandas. The book then explores advanced ML through CNN image classification with Fast.ai, and deploying AI models as web applications using Hugging Face and Gradio. It also addresses critical ethical considerations in AI, focusing on fairness and bias, and provides career guidance for modern programmers. Moreover, this book takes a fresh approach to learning by prioritizing exploration and creativity, much like the way Gen Z engage with games, apps, and hands-on activities. By the end of this book, you will be equipped with the practical skills and ethical understanding to confidently apply Python and GenAI in diverse projects, helping you navigate the evolving landscape of AI-driven development. WHAT YOU WILL LEARN ● Write and debug Python code through hands-on projects. ● Learn GenAI setup, and effective prompt engineering. ● Step-by-step Python projects using Jupyter Notebooks and GenAI. ● Deploy AI models as interactive web applications using Hugging Face and Gradio frameworks. ● Leverage GenAI tools like GPT-4 and Copilot. ● Understand AI bias and use it responsibly for positive impact. WHO THIS BOOK IS FOR This book is for professionals interested in learning Python and using GenAI tools like GPT-4 in practical applications. It is for aspiring programmers, students, and data analysts seeking practical Python and GenAI skills. TABLE OF CONTENTS 1. Introduction to GenAI 2. Jupyter Notebook 3. Dissect The Calculator App 4. Sorting on My Mind 5. Pandas, the Data Tamer 6. Decipher CNN App 7. Gradio and Hugging Face Deployment 8. Fairness and Bias 9. Your Turn to Be a Code Walker
Ultimate Azure Data Scientist Associate Dp 100 Certification Guide Simplified Concepts And Effective Ml Solutions To Crack The Azure Data Scientist Dp 100 Exam
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Author : Rajib Kumar
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-06-26
Ultimate Azure Data Scientist Associate Dp 100 Certification Guide Simplified Concepts And Effective Ml Solutions To Crack The Azure Data Scientist Dp 100 Exam written by Rajib Kumar and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-26 with Computers categories.
Empower Your Data Science Journey: From Exploration to Certification in Azure Machine Learning Key Features● Offers deep dives into key areas such as data preparation, model training, and deployment, ensuring you master each concept. ● Covers all exam objectives in detail, ensuring a thorough understanding of each topic required for the DP-100 certification. ● Includes hands-on labs and practical examples to help you apply theoretical knowledge to real-world scenarios, enhancing your learning experience. Book DescriptionUltimate Azure Data Scientist Associate (DP-100) Certification Guide is your essential resource for achieving the Microsoft Azure Data Scientist Associate certification. This guide covers all exam objectives, helping you design and prepare machine learning solutions, explore data, train models, and manage deployment and retraining processes. The book starts with the basics and advances through hands-on exercises and real-world projects, to help you gain practical experience with Azure's tools and services. The book features certification-oriented Q&A challenges that mirror the actual exam, with detailed explanations to help you thoroughly grasp each topic. Perfect for aspiring data scientists, IT professionals, and analysts, this comprehensive guide equips you with the expertise to excel in the DP-100 exam and advance your data science career. What you will learn ● Design and prepare effective machine learning solutions in Microsoft Azure. ● Learn to develop complete machine learning training pipelines, with or without code. ● Explore data, train models, and validate ML pipelines efficiently. ● Deploy, manage, and optimize machine learning models in Azure. ● Utilize Azure's suite of data science tools and services, including Prompt Flow, Model Catalog, and AI Studio. ● Apply real-world data science techniques to business problems. ● Confidently tackle DP-100 certification exam questions and scenarios. Table of Contents1. Introduction to Data Science and Azure 2. Setting Up Your Azure Environment 3. Data Ingestion and Storage in Azure 4. Data Transformation and Cleaning 5. Introduction to Machine Learning 6. Azure Machine Learning Studio 7. Model Deployment and Monitoring 8. Embracing AI Revolution Azure 9. Responsible AI and Ethics 10. Big Data Analytics with Azure 11. Real-World Applications and Case Studies 12. Conclusion and Next Steps Index
Ai Made Easy The Ultimate Guide For Busy Moms Simplifying Life With Smart Tech
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Author : DIZZY DAVIDSON
language : en
Publisher: Pure Water Books
Release Date : 2025-04-14
Ai Made Easy The Ultimate Guide For Busy Moms Simplifying Life With Smart Tech written by DIZZY DAVIDSON and has been published by Pure Water Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-14 with Family & Relationships categories.
If you’re a busy mom struggling to balance work, parenting, and household responsibilities—while secretly wishing for a few extra hours in the day—this book is for you. If you’ve ever wondered how AI could help simplify your life but felt too overwhelmed by the tech jargon, worry no more—this guide breaks it all down in a way that’s fun, practical, and easy to follow. Welcome to AI Made Easy: The Ultimate Guide for Busy Moms—Simplifying Life with Smart Tech, the game-changing book that empowers mothers to harness the power of artificial intelligence like never before! Packed with step-by-step guides, real-life stories, relatable examples, and helpful illustrations, this book transforms AI from a confusing tech concept into your secret weapon for making motherhood easier, smarter, and more efficient. What You’ll Discover Inside: ✅ AI-Powered Time-Saving Hacks – Automate daily routines, streamline tasks, and free up more time for what truly matters. ✅ Parenting with AI – Discover smart educational tools, screen time management tips, and AI-driven resources to support child development. ✅ Smart Home Shortcuts – From voice assistants to energy-saving devices, learn how AI can make your home safer and more efficient. ✅ Work-Life Balance with AI – Optimize schedules, manage household finances, and explore AI-driven career growth strategies. ✅ AI for Self-Care & Wellness – Get personalized fitness routines, stress-management tools, and meal-planning assistance tailored to your needs. ✅ Safety & Security First – Master AI-powered cybersecurity tools to protect your family online and in real life. ✅ Entertainment & Creativity – Discover how AI enhances family bonding through storytelling, gaming, and content recommendations. Whether you're a tech newbie or a seasoned multitasker, this book will give you the confidence to use AI to your advantage without feeling intimidated or overwhelmed. 📖 Packed with tips, tricks, real-life examples, and illustrations, this book makes AI accessible, practical, and actually fun to learn! 🔹 Moms don’t have time to waste, so let AI help you save more of it. 🔥 Ready to revolutionize the way you manage life? GET YOUR COPY TODAY!
Data Science Ai And Blockchain
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Author : Ekaaksh Deshpande
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Data Science Ai And Blockchain written by Ekaaksh Deshpande 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 Science, AI, and Blockchain: Integrated Approaches" emerges as a beacon for undergraduate students navigating the intricate landscapes of these transformative technologies. Our primary objective is to empower students with a comprehensive understanding of the synergy between Data Science, Artificial Intelligence (AI), and Blockchain, recognizing them as pivotal forces propelling innovation across diverse industries. We begin with Data Science, centered on extracting knowledge and insights from vast datasets, navigating through fundamental principles, methodologies, and tools. Real-world applications illustrate the significance of data-driven decision-making. Seamlessly moving into Artificial Intelligence, the book demystifies the algorithms underpinning intelligent systems. By weaving together theoretical concepts with practical examples, students gain insights into machine learning, natural language processing, and computer vision. Ethical considerations accompany the exploration, urging students to contemplate societal impacts. The exploration culminates in Blockchain, a revolutionary technology disrupting traditional notions of trust and transparency. Students understand how Blockchain secures transactions, empowers smart contracts, and transforms industries. Practical insights into building decentralized applications (DApps) are provided. Interactive elements, case studies, and exercises engage students actively. By fostering a multidisciplinary approach, we aim to equip undergraduates with the knowledge and skills needed to thrive in a world where the convergence of Data Science, AI, and Blockchain is reshaping the future.
Ai For People And Business
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Author : Alex Castrounis
language : en
Publisher: O'Reilly Media
Release Date : 2019-07-05
Ai For People And Business written by Alex Castrounis and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-05 with Computers categories.
If you're an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You'll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis,founder and CEO of Why of AI, Northwestern University Adjunct, advisor, and former IndyCar engineer and data scientist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business. AI is exciting, powerful, and game changing--but too many AI initiatives end in failure. With this book, you'll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You'll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products. Use the book's AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI Define a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users Leverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity Understand the importance of executive leadership for pursuing AI initiatives "A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization." - Dan Park, GM & Director, Uber "Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us." - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend
Simplifying Data Engineering And Analytics With Delta
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Author : Anindita Mahapatra
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-07-29
Simplifying Data Engineering And Analytics With Delta written by Anindita Mahapatra 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 2022-07-29 with Computers categories.
Explore how Delta brings reliability, performance, and governance to your data lake and all the AI and BI use cases built on top of it Key Features • Learn Delta’s core concepts and features as well as what makes it a perfect match for data engineering and analysis • Solve business challenges of different industry verticals using a scenario-based approach • Make optimal choices by understanding the various tradeoffs provided by Delta Book Description Delta helps you generate reliable insights at scale and simplifies architecture around data pipelines, allowing you to focus primarily on refining the use cases being worked on. This is especially important when you consider that existing architecture is frequently reused for new use cases. In this book, you'll learn about the principles of distributed computing, data modeling techniques, and big data design patterns and templates that help solve end-to-end data flow problems for common scenarios and are reusable across use cases and industry verticals. You'll also learn how to recover from errors and the best practices around handling structured, semi-structured, and unstructured data using Delta. After that, you'll get to grips with features such as ACID transactions on big data, disciplined schema evolution, time travel to help rewind a dataset to a different time or version, and unified batch and streaming capabilities that will help you build agile and robust data products. By the end of this Delta book, you'll be able to use Delta as the foundational block for creating analytics-ready data that fuels all AI/BI use cases. What you will learn • Explore the key challenges of traditional data lakes • Appreciate the unique features of Delta that come out of the box • Address reliability, performance, and governance concerns using Delta • Analyze the open data format for an extensible and pluggable architecture • Handle multiple use cases to support BI, AI, streaming, and data discovery • Discover how common data and machine learning design patterns are executed on Delta • Build and deploy data and machine learning pipelines at scale using Delta Who this book is for Data engineers, data scientists, ML practitioners, BI analysts, or anyone in the data domain working with big data will be able to put their knowledge to work with this practical guide to executing pipelines and supporting diverse use cases using the Delta protocol. Basic knowledge of SQL, Python programming, and Spark is required to get the most out of this book.
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.
Artificial Intelligence In Healthcare
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Author : Parag Mahajan
language : en
Publisher: Medmantra, LLC
Release Date : 2021-02
Artificial Intelligence In Healthcare written by Parag Mahajan and has been published by Medmantra, LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02 with categories.
① Do you know what AI is doing to improve our health and wellbeing? ② Does this new technology concern you, or impress you? ③ Do you want to know more about the future of AI in healthcare? Technology continues to advance at a pace that can seem bewildering. Nowhere else is it moving faster than in the health sector, where ♥AI is now being used to improve millions of lives♥. In this book, ◆ Artificial Intelligence in Healthcare: AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone ◆, you can discover the great improvements that AI is making, with chapters covering: The current applications and future of AI in healthcare and all major medical specialties ✓ The benefits and risks weighed up ✓ The ethics involved ✓ Machine learning and data science simplified ✓ AI's role in medical research and education, health insurance, drug discovery, electronic health records, and the fight against COVID-19 ✓ The roles that major corporations and start-up companies are playing ✓ The implementation of AI in clinical practice ✓ And lots more... Quite simply the most authoritative text on the subject, Artificial Intelligence in Healthcare - 3rd Edition, is an absorbing and compelling read for anyone who wants to know more. It is packed with more updated information than any other book currently available, written in easy-to-understand language, and accessible to all.