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Description of  Ultimate Azure Data Scientist Associate (DP-100) Certification Guide: Simplified Concepts and Effective ML Solutions to Crack the Azure Data Scientist DP-100 Exam (English Edition)

B0D83DG26C pdf 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 Description Ultimate Azure Data Scientist Associate (DP-100) Certification Guideis the go-to guide for developers and engineers looking to maximize the potential of Bazel within a monorepo setup. It explores the intricacies of building large-scale applications, contrasting the monorepo approach with polyrepo setups and highlighting benefits like streamlined dependency management and improved collaboration. Through practical examples and real-world case studies, you'll learn how to harness Bazel's features for faster build times and consistent results across environments. Structured to cover all aspects of Bazel and monorepo development, from initial setup to advanced topics like custom rule creation and dependency management, this book provides actionable insights to enhance your development workflow. This guide equips you with the knowledge and skills to efficiently manage large codebases and contribute to more robust, scalable, and maintainable software projects. By the end, readers will be equipped to efficiently manage large codebases, leverage Bazel's capabilities to speed up build and test processes, and ultimately, contribute to more robust, scalable, and maintainable software projects. 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. Who is this book for? This book is for aspiring data scientists, IT professionals, developers, data analysts, students, and business professionals aiming to master Azure data science. Prior knowledge of basic data science concepts and programming, particularly in Python, will be beneficial for making the most of this comprehensive guide. Table of Contents 1. 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 About the Author Rajib Kumar Deis a seasoned Data Scientist with a Master's in Statistics and over a decade of industry experience. He excels in Analytics, Predictive Modeling, Machine Learning, Cloud Computing (Microsoft Azure), AI, Deep Learning, and NLP. With a strong research mindset, he tackles complex problems using supervised and unsupervised learning methods. Technical Expertise and Team Collaboration: Programming Languages: R, Python, Cloud Platforms: Microsoft Azure, Azure Databricks, Microsoft Fabric, Data Science Tools: Azure ML, MLFlow, Fabric Data Science