Agile Machine Learning With Datarobot
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Agile Machine Learning With Datarobot
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Author : Bipin Chadha
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-12-24
Agile Machine Learning With Datarobot written by Bipin Chadha 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 2021-12-24 with Computers categories.
Leverage DataRobot's enterprise AI platform and automated decision intelligence to extract business value from data Key FeaturesGet well-versed with DataRobot features using real-world examplesUse this all-in-one platform to build, monitor, and deploy ML models for handling the entire production life cycleMake use of advanced DataRobot capabilities to programmatically build and deploy a large number of ML modelsBook Description DataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization. You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities. By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors. What you will learnUnderstand and solve business problems using DataRobotUse DataRobot to prepare your data and perform various data analysis tasks to start building modelsDevelop robust ML models and assess their results correctly before deploymentExplore various DataRobot functions and outputs to help you understand the models and select the one that best solves the business problemAnalyze a model's predictions and turn them into actionable insights for business usersUnderstand how DataRobot helps in governing, deploying, and maintaining ML modelsWho this book is for This book is for data scientists, data analysts, and data enthusiasts looking for a practical guide to building and deploying robust machine learning models using DataRobot. Experienced data scientists will also find this book helpful for rapidly exploring, building, and deploying a broader range of models. The book assumes a basic understanding of machine learning.
Enhancing Business Communications And Collaboration Through Data Science Applications
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Author : Geada, Nuno
language : en
Publisher: IGI Global
Release Date : 2023-03-21
Enhancing Business Communications And Collaboration Through Data Science Applications written by Geada, Nuno and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Business & Economics categories.
Digital evolution has become increasingly present in our lives, whether on cellphones, computers, watches, or other appliances. As a result of the wide access we have to the digital world, the amount of data generated daily is vast. This density of information generated at every moment can be the insight needed for the success of an organization. Much is said about data-based decision-making to generate the best results. The new capabilities of data intelligence unleashed by the emergence of cloud computing and artificial intelligence make it one of the most promising areas of digital transformation change management. Enhancing Business Communications and Collaboration Through Data Science Applications provides relevant theoretical frameworks and the latest empirical research findings in the area. It is written for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. Covering topics such as data science, online business communication, and user-centered design, this premier reference source is an ideal resource for business managers and leaders, entrepreneurs, data scientists, data analysts, sociologists, students and educators of higher education, librarians, researchers, and academicians.
Datarobot
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-18
Datarobot written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Computers categories.
"DataRobot: Practical Automation for Enterprise AI" "DataRobot: Practical Automation for Enterprise AI" offers a definitive guide to harnessing the power of automated machine learning within large-scale organizations. The book meticulously explores the critical business drivers and operational imperatives that have established automation as a cornerstone for modern enterprise AI strategies. Through in-depth coverage of DataRobot’s architecture, integration pathways, and human-in-the-loop design, readers gain a comprehensive understanding of how to balance innovation with governance, security, and regulatory compliance in real-world production environments. From foundational data operations and advanced feature engineering to model experimentation, validation, and deployment, this book provides actionable frameworks and best practices for building production-ready AI solutions at scale. It navigates the complexities of seamless data integration, robust model monitoring, and continuous improvement in fast-evolving enterprise ecosystems. Attention to explainability, bias mitigation, and transparent reporting ensures that AI solutions not only deliver value but also uphold the highest standards of accountability and trust. Practical, forward-looking, and deeply informed by real-world success stories, "DataRobot: Practical Automation for Enterprise AI" equips organizations and technical leaders with the knowledge required to drive adoption, accelerate AI-driven transformation, and quantify business impact. With its focus on extensibility, security, and future trends, this book is an invaluable resource for enterprises seeking to unlock the full potential of automated AI while navigating the challenges of today’s complex digital landscape.
The Future Of Devops Unlocking Potential With Al Ml And Automation
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Author : Sandeep Belidhe
language : en
Publisher: RK Publication
Release Date : 2024-12-25
The Future Of Devops Unlocking Potential With Al Ml And Automation written by Sandeep Belidhe and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-25 with Computers categories.
The Future of DevOps: Unlocking Potential with AI, ML, and Automation the transformative impact of artificial intelligence and machine learning on DevOps practices. It intelligent automation, predictive analytics, and AI-driven decision-making to enhance software development, deployment, and monitoring. The examines emerging trends, challenges, and the evolving role of AI in accelerating DevOps workflows, improving efficiency, and ensuring reliability. With insights into cutting-edge tools and methodologies, it provides a roadmap for organizations to harness AI-driven DevOps for innovation, scalability, and competitive advantage in an increasingly digital world.
Boosting Software Development Using Machine Learning
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Author : Tirimula Rao Benala
language : en
Publisher: Springer Nature
Release Date : 2025-05-23
Boosting Software Development Using Machine Learning written by Tirimula Rao Benala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
This book explores the transformative effects of AI and ML on software engineering. It emphasizes the potential of cutting-edge software development technologies such as Generative AI and ML applications. This book incorporates data-driven strategies across the entire software development life cycle, from requirements elicitation and design to coding, testing, and deployment. It illustrates the evolution from traditional frameworks to agile and DevOps methodologies. The potential of Generative AI for automating repetitive tasks and enhancing code quality is highlighted, along with ML applications in optimizing testing, effort estimation, design pattern recognition, fault prediction, debugging, and security through anomaly detection. These techniques have significantly improved software development efficiency, predictability, and project management effectiveness. While remarkable progress has been made, much remains to be done in this evolving area. This edited book is a timely effort toward advancing the field and promoting interdisciplinary collaboration in addressing ethical, security, and technical challenges.
The Intelligent Backbone Big Data And Machine Learning Driving Telecom Range And Security
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Author : Venkata Bharadwaj Komaragiri
language : en
Publisher: CANEDA GLOBAL JOURNAL GROUP
Release Date :
The Intelligent Backbone Big Data And Machine Learning Driving Telecom Range And Security written by Venkata Bharadwaj Komaragiri and has been published by CANEDA GLOBAL JOURNAL GROUP this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Business Analytics
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Author : Richard Vidgen
language : en
Publisher: Bloomsbury Publishing
Release Date : 2019-09-28
Business Analytics written by Richard Vidgen and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-28 with Business & Economics categories.
This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills. With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.
Practical Dataops
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Author : Harvinder Atwal
language : en
Publisher: Apress
Release Date : 2019-12-09
Practical Dataops written by Harvinder Atwal and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-09 with Computers categories.
Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making. Practical DataOps shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output. The book provides an approach to eliminate wasted effort and improve collaboration between data producers, data consumers, and the rest of the organization through the adoption of lean thinking and agile software development principles. This book helps you to improve the speed and accuracy of analytical application development through data management and DevOps practices that securely expand data access, and rapidly increase the number of reproducible data products through automation, testing, and integration. The book also shows how to collect feedback and monitor performance to manage and continuously improve your processes and output. What You Will Learn Develop a data strategy for your organization to help it reach its long-term goals Recognize and eliminate barriers to delivering data to users at scale Work on the right things for the right stakeholders through agile collaboration Create trust in data via rigorous testing and effective data management Build a culture of learning and continuous improvement through monitoring deployments and measuring outcomes Create cross-functional self-organizing teams focused on goals not reporting lines Build robust, trustworthy, data pipelines in support of AI, machine learning, and other analytical data products Who This Book Is For Data science and advanced analytics experts, CIOs, CDOs (chief data officers), chief analytics officers, business analysts, business team leaders, and IT professionals (data engineers, developers, architects, and DBAs) supporting data teams who want to dramatically increase the value their organization derives from data. The book is ideal for data professionals who want to overcome challenges of long delivery time, poor data quality, high maintenance costs, and scaling difficulties in getting data science output and machine learning into customer-facing production.
Applied Natural Language Processing In The Enterprise
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Author : Ankur A. Patel
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-05-12
Applied Natural Language Processing In The Enterprise written by Ankur A. Patel and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-12 with Computers categories.
NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production
Ai And Microservices
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Author : Dileep Kumar Pandiya
language : en
Publisher: Springer Nature
Release Date : 2025-07-01
Ai And Microservices written by Dileep Kumar Pandiya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Computers categories.
This book explores how artificial intelligence (AI) is transforming the design and operation of microservices and API architecture. It provides a clear and practical guide to using AI to automate tasks, enhance performance, and improve the scalability of microservice-based systems. Starting with the basics, you will learn about the core concepts of microservices and API design, gradually building an understanding of how AI can be seamlessly integrated. Through real-world examples, visual diagrams, and mock APIs, the book shows you how to bring theory into practice, making complex systems easier to manage and more efficient. You will also discover strategies for testing and scaling systems, securing APIs, and addressing ethical challenges in AI-powered environments. Case studies highlight successful implementations, offering valuable insights you can apply to your own projects. Whether you're a developer, architect, or tech enthusiast, this book gives you the tools and inspiration to build smarter, more resilient systems while staying ahead of future trends in AI and distributed computing. What You'll Learn: Understand the basics of microservices and API design and see how AI can make these systems smarter and more efficient. Discover how to use AI in microservices and APIs to automate tasks, improve performance, and boost security. Learn how to design scalable and secure systems by following best practices and innovative approaches. Get practical tips on troubleshooting and solving challenges in AI-powered microservice architectures. Who is this book for: Software architects and engineers, AI and machine learning professionals, and DevOps engineers