Agile Machine Learning With Datarobot
Download Agile Machine Learning With Datarobot PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Agile Machine Learning With Datarobot book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Agile Machine Learning with DataRobot
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
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
"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.