Apache Spark Machine Learning Blueprints
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Apache Spark Machine Learning Blueprints
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Author : Alex Liu
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-05-30
Apache Spark Machine Learning Blueprints written by Alex Liu 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 2016-05-30 with Computers categories.
Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book Customize Apache Spark and R to fit your analytical needs in customer research, fraud detection, risk analytics, and recommendation engine development Develop a set of practical Machine Learning applications that can be implemented in real-life projects A comprehensive, project-based guide to improve and refine your predictive models for practical implementation Who This Book Is For If you are a data scientist, a data analyst, or an R and SPSS user with a good understanding of machine learning concepts, algorithms, and techniques, then this is the book for you. Some basic understanding of Spark and its core elements and application is required. What You Will Learn Set up Apache Spark for machine learning and discover its impressive processing power Combine Spark and R to unlock detailed business insights essential for decision making Build machine learning systems with Spark that can detect fraud and analyze financial risks Build predictive models focusing on customer scoring and service ranking Build a recommendation systems using SPSS on Apache Spark Tackle parallel computing and find out how it can support your machine learning projects Turn open data and communication data into actionable insights by making use of various forms of machine learning In Detail There's a reason why Apache Spark has become one of the most popular tools in Machine Learning – its ability to handle huge datasets at an impressive speed means you can be much more responsive to the data at your disposal. This book shows you Spark at its very best, demonstrating how to connect it with R and unlock maximum value not only from the tool but also from your data. Packed with a range of project "blueprints" that demonstrate some of the most interesting challenges that Spark can help you tackle, you'll find out how to use Spark notebooks and access, clean, and join different datasets before putting your knowledge into practice with some real-world projects, in which you will see how Spark Machine Learning can help you with everything from fraud detection to analyzing customer attrition. You'll also find out how to build a recommendation engine using Spark's parallel computing powers. Style and approach This book offers a step-by-step approach to setting up Apache Spark, and use other analytical tools with it to process Big Data and build machine learning projects.The initial chapters focus more on the theory aspect of machine learning with Spark, while each of the later chapters focuses on building standalone projects using Spark.
Apache Spark Machine Learning Blueprints
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Author : Alex Liu
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-05-30
Apache Spark Machine Learning Blueprints written by Alex Liu 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 2016-05-30 with Computers categories.
Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book Customize Apache Spark and R to fit your analytical needs in customer research, fraud detection, risk analytics, and recommendation engine development Develop a set of practical Machine Learning applications that can be implemented in real-life projects A comprehensive, project-based guide to improve and refine your predictive models for practical implementation Who This Book Is For If you are a data scientist, a data analyst, or an R and SPSS user with a good understanding of machine learning concepts, algorithms, and techniques, then this is the book for you. Some basic understanding of Spark and its core elements and application is required. What You Will Learn Set up Apache Spark for machine learning and discover its impressive processing power Combine Spark and R to unlock detailed business insights essential for decision making Build machine learning systems with Spark that can detect fraud and analyze financial risks Build predictive models focusing on customer scoring and service ranking Build a recommendation systems using SPSS on Apache Spark Tackle parallel computing and find out how it can support your machine learning projects Turn open data and communication data into actionable insights by making use of various forms of machine learning In Detail There's a reason why Apache Spark has become one of the most popular tools in Machine Learning – its ability to handle huge datasets at an impressive speed means you can be much more responsive to the data at your disposal. This book shows you Spark at its very best, demonstrating how to connect it with R and unlock maximum value not only from the tool but also from your data. Packed with a range of project "blueprints" that demonstrate some of the most interesting challenges that Spark can help you tackle, you'll find out how to use Spark notebooks and access, clean, and join different datasets before putting your knowledge into practice with some real-world projects, in which you will see how Spark Machine Learning can help you with everything from fraud detection to analyzing customer attrition. You'll also find out how to build a recommendation engine using Spark's parallel computing powers. Style and approach This book offers a step-by-step approach to setting up Apache Spark, and use other analytical tools with it to process Big Data and build machine learning projects.The initial chapters focus more on the theory aspect of machine learning with Spark, while each of the later chapters focuses on building standalone projects using Spark.
Hadoop Blueprints
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Author : Anurag Shrivastava
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-09-30
Hadoop Blueprints written by Anurag Shrivastava 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 2016-09-30 with Computers categories.
Use Hadoop to solve business problems by learning from a rich set of real-life case studies About This Book Solve real-world business problems using Hadoop and other Big Data technologies Build efficient data lakes in Hadoop, and develop systems for various business cases like improving marketing campaigns, fraud detection, and more Power packed with six case studies to get you going with Hadoop for Business Intelligence Who This Book Is For If you are interested in building efficient business solutions using Hadoop, this is the book for you This book assumes that you have basic knowledge of Hadoop, Java, and any scripting language. What You Will Learn Learn about the evolution of Hadoop as the big data platform Understand the basics of Hadoop architecture Build a 360 degree view of your customer using Sqoop and Hive Build and run classification models on Hadoop using BigML Use Spark and Hadoop to build a fraud detection system Develop a churn detection system using Java and MapReduce Build an IoT-based data collection and visualization system Get to grips with building a Hadoop-based Data Lake for large enterprises Learn about the coexistence of NoSQL and In-Memory databases in the Hadoop ecosystem In Detail If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake – all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space. Style and approach This is an example-driven book where each chapter covers a single business problem and describes its solution by explaining the structure of a dataset and tools required to process it. Every project is demonstrated with a step-by-step approach, and explained in a very easy-to-understand manner.
Transforming Healthcare With Big Data And Ai
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Author : Alex Liu
language : en
Publisher: IAP
Release Date : 2020-04-01
Transforming Healthcare With Big Data And Ai written by Alex Liu and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Computers categories.
Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field. This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.
Ai Passive Income Blueprint
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Author : Logan Barrett
language : en
Publisher: GoldenPeak
Release Date : 2024-07-07
Ai Passive Income Blueprint written by Logan Barrett and has been published by GoldenPeak this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-07 with Business & Economics categories.
🌟 SPECIAL BONUSES INCLUDED! 🌟 Since the public release of generative artificial intelligence, our world has entered a new era of limitless potential. While some turn a blind eye, visionaries like you are ready to seize the moment. Join the revolution and unlock financial independence with AI-driven passive income strategies that are reshaping the future. 💡 Are you a tech professional, entrepreneur, or a beginner eager to harness the power of artificial intelligence for financial growth? 💡 Do you want to stay ahead of the curve and seize lucrative AI opportunities before they pass you by? 💡 Searching for a comprehensive guide that simplifies complex AI concepts into actionable, easy-to-follow strategies? Packed with expert insights, real-world examples, and step-by-step instructions, "AI Passive Income Blueprint: Unlock Enduring Prosperity with Artificial Intelligence and Smart Automation" is the key you need to integrate AI into your business and achieve unprecedented financial growth that has never been possible before. This Ultimate Edition is meticulously crafted for tech enthusiasts, entrepreneurs, and forward-thinking investors who want to leverage AI to create sustainable passive income streams, while also offering a strong foundation for beginners looking to dive into the world of AI. Why This Book is Essential for Your Success: • Start-to-Finish Guidance: Launch or scale your automated business with comprehensive, step-by-step instructions. • Practical AI Tools: Gain hands-on knowledge of the latest AI tools and automation techniques to maximize your earnings. • The Power Of Automation: Discover proven techniques for seamless AI integration, letting your income grow effortlessly, even while you sleep. • Real-World Examples: Draw inspiration from successful case studies and practical examples of AI-driven income strategies. • Financial Optimization: Utilize AI for personal finance, automated investments, and risk management to secure your financial future. • Future-Proof Knowledge: Stay updated on AI advancements to catch evolving trends and seize new opportunities. • Master AI Fundamentals: Grasp the basics of AI and machine learning to unlock their full potential in any field. • And So Much More!! Additional Exclusive Benefits: 🎁🤖 BONUS #1 - 150+ ChatGPT Prompts: Kickstart your business with 150+ ChatGPT prompts crafted by experts to help you get started immediately with any AI (DA FINIRE QUANDO HO IL BONUS) 🎁🤖 BONUS #2 - “AI Passive Income Assistant”: Gain exclusive access to a custom ChatGPT Assistant available for ChatGPT+ users that will guide you to apply the knowledge gained from the book to your business idea. By following the actionable strategies and expert insights provided in "AI Passive Income Blueprint," you'll gain the confidence and skills needed to apply and leverage the use of Artificial Intelligence in any business and in your personal life. Don't let the fast-paced advancements in the world of AI overwhelm you. Secure your place in the AI-driven economy today! Get your copy and embark on your journey towards financial freedom with AI and smart automation.
Strategic Blueprint For Enterprise Analytics
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Author : Liang Wang
language : en
Publisher: Springer Nature
Release Date : 2024-04-12
Strategic Blueprint For Enterprise Analytics written by Liang Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Computers categories.
This book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future.
Learn Azure Synapse Data Explorer
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Author : Pericles (Peri) Rocha
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-02-17
Learn Azure Synapse Data Explorer written by Pericles (Peri) Rocha 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 2023-02-17 with Computers categories.
A hands-on guide to working on use cases helping you ingest, analyze, and serve insightful data from IoT as well as telemetry data sources using Azure Synapse Data Explorer Free PDF included with this book Key FeaturesAugment advanced analytics projects with your IoT and application dataExpand your existing Azure Synapse environments with unstructured dataBuild industry-level projects on integration, experimentation, and dashboarding with Azure SynapseBook Description Large volumes of data are generated daily from applications, websites, IoT devices, and other free-text, semi-structured data sources. Azure Synapse Data Explorer helps you collect, store, and analyze such data, and work with other analytical engines, such as Apache Spark, to develop advanced data science projects and maximize the value you extract from data. This book offers a comprehensive view of Azure Synapse Data Explorer, exploring not only the core scenarios of Data Explorer but also how it integrates within Azure Synapse. From data ingestion to data visualization and advanced analytics, you'll learn to take an end-to-end approach to maximize the value of unstructured data and drive powerful insights using data science capabilities. With real-world usage scenarios, you'll discover how to identify key projects where Azure Synapse Data Explorer can help you achieve your business goals. Throughout the chapters, you'll also find out how to manage big data as part of a software as a service (SaaS) platform, as well as tune, secure, and serve data to end users. By the end of this book, you'll have mastered the big data life cycle and you'll be able to implement advanced analytical scenarios from raw telemetry and log data. What you will learnIntegrate Data Explorer pools with all other Azure Synapse servicesCreate Data Explorer pools with Azure Synapse Studio and Azure PortalIngest, analyze, and serve data to users using Azure Synapse pipelinesIntegrate Power BI and visualize data with Synapse StudioConfigure Azure Machine Learning integration in Azure SynapseManage cost and troubleshoot Data Explorer pools in Synapse AnalyticsSecure Synapse workspaces and grant access to Data Explorer poolsWho this book is for If you are a data engineer, data analyst, or business analyst working with unstructured data and looking to learn how to maximize the value of such data, this book is for you. If you already have experience working with Azure Synapse and want to incorporate unstructured data into your data science project, you'll also find plenty of useful information in this book. To maximize your learning experience, familiarity with data and performing simple queries using SQL or KQL is recommended. Basic knowledge of Python will help you get more from the examples.
The Data Driven Product Manager A Blueprint 2025
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Author : Naga Srirama Narasimha Raviteja Malladi, Prof SumanYadav
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
The Data Driven Product Manager A Blueprint 2025 written by Naga Srirama Narasimha Raviteja Malladi, Prof SumanYadav 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 rapidly evolving business landscape, the role of a product manager is more critical—and more complex—than ever before. “The Data-Driven Product Manager: A Blueprint” was born out of the recognition that intuition and experience, while valuable, can only take you so far. To truly excel in product management, one must harness the power of data to drive decision-making, fuel innovation, and ultimately deliver products that resonate with customers and succeed in the market. This book is designed as a comprehensive guide for product managers who are eager to integrate data-driven strategies into every facet of their work. Whether you are a seasoned professional looking to refine your approach or a newcomer seeking a structured path into the world of product management, this blueprint provides the tools, techniques, and insights necessary to transform raw data into actionable intelligence. Throughout the chapters, you will encounter practical frameworks and real-world examples that illustrate how data can be seamlessly integrated into product lifecycle management. From initial market research and customer segmentation to product launch and post-launch analysis, each section is crafted to offer a step-by-step roadmap for developing and scaling products in a competitive market. One of the key themes of this book is the transformation of data from a mere byproduct of operations into a strategic asset. In doing so, it addresses common obstacles such as data quality issues, integration challenges, and the cultural shift required within organizations to embrace analytics as a core component of the product management process. We offer actionable advice on building data infrastructure, fostering cross-functional collaboration, and cultivating a mindset that values experimentation and continuous improvement. The decision to write this book was fueled by the growing recognition that data-driven product management is not just a trend but a fundamental shift in how products are conceptualized, built, and refined. In an era where customer expectations are constantly evolving and market conditions can change overnight, the ability to adapt quickly using insights derived from data is no longer optional—it is essential for survival and success. I invite you to embark on this journey with an open mind and a readiness to challenge conventional practices. As you progress through the chapters, my hope is that you will find not only practical strategies and technical guidance but also inspiration to innovate boldly and lead confidently. Let this blueprint serve as both a reference and a catalyst for your growth as a data-driven product manager, empowering you to make informed decisions that drive real impact. Welcome to the future of product management. Welcome to a world where data lights the way forward. Authors
The Freedom Blueprint For A Python Developer
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2024-08-26
The Freedom Blueprint For A Python Developer written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-26 with Computers categories.
### The Freedom Blueprint for a Python Developer Unlock the secrets to living a life of unparalleled freedom while building a successful career as a Python developer. "The Freedom Blueprint for a Python Developer" is your comprehensive guide to combining the dynamic world of Python programming with the exciting lifestyle of a digital nomad. Whether you're a seasoned coder or a beginner looking to break into the tech industry, this eBook offers a step-by-step roadmap to mastering Python and adopting a remote work lifestyle. **Chapter Highlights** - **Introduction to the Digital Nomad Lifestyle** Explore the growing digital nomad movement, uncover its benefits, and dispel common myths. - **Why Python is the Ideal Language for Digital Nomads** Dive into Python's versatility and discover how it opens doors to remote job opportunities. - **Getting Started with Python** Learn how to set up your development environment and write your first Python program while mastering essential libraries. - **Leveraging ChatGPT for Learning Python** Supercharge your learning with AI-driven assistance from ChatGPT and see practical coding examples. - **Core and Advanced Python Programming Concepts** From variables and data types to object-oriented programming and APIs, gain a deep understanding of Python. - **Building a Portfolio with Python Projects** Identify key projects to showcase your skills and build an impressive portfolio that attracts remote job offers. - **Finding Remote Work as a Python Developer** Navigate the remote job market with tips on building your online presence, networking, and utilizing job boards. - **Freelancing vs. Contracting vs. Full-Time Remote Jobs** Weigh the pros and cons of different work arrangements and choose the best fit for your lifestyle. - **Managing Finances on the Go** Get practical advice on international banking, budgeting, and handling taxes as a nomadic professional. - **Productivity Tips for Remote Python Developers** Optimize your work environment, manage your time effectively, and stay focused amidst distractions. - **Tools and Resources for the Modern Digital Nomad** Discover essential software, online communities, and continuous learning resources. - **Health and Wellness While Traveling** Learn how to maintain physical fitness, prioritize mental health, and balance work with leisure. - **Navigating Cross-Cultural Work Environments** Master cross-cultural communication and adapt to diverse work styles. - **Case Studies Successful Python Digital Nomads** Gain insights from real-life stories and actionable takeaways from experienced digital nomads. Embark on your journey towards freedom, flexibility, and success. Transform your Python skills into a ticket to the digital nomad lifestyle with "The Freedom Blueprint for a Python Developer." Your adventure starts now.
The Smart Iot Blueprint Engineering A Connected Future
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Author : Fadi Al-Turjman
language : en
Publisher: Springer Nature
Release Date : 2024-08-13
The Smart Iot Blueprint Engineering A Connected Future written by Fadi Al-Turjman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-13 with Computers categories.
This book offers a comprehensive exploration of the Smart Internet of Things (IoT) and its profound impact on our interconnected world. From its foundational principles to cutting-edge applications, "Innovative Integration: Crafting the World with Smart IoT" is a definitive guide to understanding and harnessing the power of IoT technologies. In this era of digital transformation, IoT has emerged as a transformative force, revolutionizing industries, urban landscapes, and our daily lives. This book dives deep into the core concepts of IoT, unraveling the intricate web of sensors, networks, and protocols that underpin this technology. Readers will gain a clear understanding of how data intelligence drives IoT, making it a driving force behind automation, efficiency, and sustainability. One of the critical aspects addressed is security and privacy in the IoT ecosystem—a concern that resonates with individuals, businesses, and policy-makers alike. We delve into the ethical dimensions of IoT, exploring the responsible use of data in an increasingly connected world. Through a series of real-world case studies, we showcase the practical applications of IoT, from smart homes and cities to industrial settings and healthcare. The book equips readers with the knowledge needed to navigate this transformative landscape, empowering them to make informed decisions in their professional and personal endeavors. "IoT and the Horizon of Integration" provides a glimpse into the future, offering insights into emerging trends and predictions in the world of IoT. It is a must-read for academics, researchers, and industry professionals in computer science, engineering, and data analytics. Additionally, it serves as a valuable resource for policy-makers, urban planners, and graduate-level students seeking to grasp the potential and challenges of IoT.