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Machine Learning for Education : Revolutionizing the way we learn and teach (English Edition) / AMIT DUA / BPB Publications (2023)
Titre : Machine Learning for Education : Revolutionizing the way we learn and teach (English Edition) Type de document : e-book Auteurs : AMIT DUA Editeur : BPB Publications Année de publication : 2023 ISBN/ISSN/EAN : 9789355511133 Note générale : copyrighted Langues : Anglais (eng) Résumé : A guide to understand the basics of machine learning and its application in the field of education Key Features ? Create a more efficient and effective learning environment that meets the needs of all students. ? Learn how to use the profound Machine learning advancements in the field of education. ? Understand how students can use machine learning tools to improve their learning and track their progress. Description "Machine Learning for Education" is a book that explores the application of machine learning techniques in the field of education. It covers a wide range of topics, including personalizing learning using machine learning, improving student outcomes, and optimizing educational resources. The book delves into various machine learning techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning, and how they can be applied to different areas of education such as curriculum design, assessment, and student engagement. The book takes a novel approach to explain the applications of machine learning in education through relatable real-life examples, existing problems and proposing thought-provoking solutions to the same. At the end of each chapter, there are crossword puzzles, word grids, and comprehensive exercises designed to reinforce the concepts discussed in the chapter and ensure a thorough understanding. After reading the book, you will have gained the ability to implement the various features and solutions offered by machine learning within the field of education. What you will learn ? Get familiar with the fundamentals of Machine Learning. ? Explore different Machine learning solutions for primary and secondary education. ? Discover ways to use Machine learning enhanced teaching and learning. ? Understand how AI can be used to assess your child's academic progress. ? Understand how Machine learning can assist educational administrators. Who this book is for The book is suitable for anyone who is directly or indirectly involved in the current education landscape, including students, parents, teachers, and educational administrators. No previous knowledge of machine learning is required. Table of Contents 1. Basics of Machine Learning 2. Machine Learning for Students 3. Machine Learning for Parents 4. Machine Learning for Teachers 5. Machine Learning for Educational Administrators Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88942974 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=576343 Machine Learning in Production : Master the art of delivering robust Machine Learning solutions with MLOps / Suhas POTE / BPB Publications (2023)
Titre : Machine Learning in Production : Master the art of delivering robust Machine Learning solutions with MLOps Type de document : e-book Auteurs : Suhas POTE Editeur : BPB Publications Année de publication : 2023 ISBN/ISSN/EAN : 9789355518101 Note générale : copyrighted Langues : Anglais (eng) Résumé : Deploy, manage, and scale Machine Learning models with MLOps effortlessly Key Features ? Explore several ways to build and deploy ML models in production using an automated CI/CD pipeline. ? Develop and convert ML apps into Android and Windows apps. ? Learn how to implement ML model deployment on popular cloud platforms, including Azure, GCP, and AWS. Description ‘Machine Learning in Production’ is an attempt to decipher the path to a remarkable career in the field of MLOps. It is a comprehensive guide to managing the machine learning lifecycle from development to deployment, outlining ways in which you can deploy ML models in production. It starts off with fundamental concepts, an introduction to the ML lifecycle and MLOps, followed by comprehensive step-by-step instructions on how to develop a package for ML code from scratch that can be installed using pip. It then covers MLflow for ML life cycle management, CI/CD pipelines, and shows how to deploy ML applications on Azure, GCP, and AWS. Furthermore, it provides guidance on how to convert Python applications into Android and Windows apps, as well as how to develop ML web apps. Finally, it covers monitoring, the critical topic of machine learning attacks, and A/B testing. With this book, you can easily build and deploy machine learning solutions in production. What you will learn ? Master the Machine Learning lifecycle with MLOps. ? Learn best practices for managing ML models at scale. ? Streamline your ML workflow with MLFlow. ? Implement monitoring solutions using whylogs, WhyLabs, Grafana, and Prometheus. ? Use Docker and Kubernetes for ML deployment. Who this book is for Whether you are a Data scientist, ML engineer, DevOps professional, Software engineer, or Cloud architect, this book will help you get your machine learning models into production quickly and efficiently. Table of Contents 1. Python 101 2. Git and GitHub Fundamentals 3. Challenges in ML Model Deployment 4. Packaging ML Models 5. MLflow-Platform to Manage the ML Life Cycle 6. Docker for ML 7. Build ML Web Apps Using API 8. Build Native ML Apps 9. CI/CD for ML 10. Deploying ML Models on Heroku 11. Deploying ML Models on Microsoft Azure 12. Deploying ML Models on Google Cloud Platform 13. Deploying ML Models on Amazon Web Services 14. Monitoring and Debugging 15. Post-Productionizing ML Models Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88942573 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=574642 Mastering Advanced Excel - With ChatGPT Integration : Learn Formulas and Functions, Advance Pivot Tables, Macros, VBA Coding, ChatGPT Integration with exercises (English Edition) / Ritu ARORA / BPB Publications (2023)
Titre : Mastering Advanced Excel - With ChatGPT Integration : Learn Formulas and Functions, Advance Pivot Tables, Macros, VBA Coding, ChatGPT Integration with exercises (English Edition) Type de document : e-book Auteurs : Ritu ARORA Editeur : BPB Publications Année de publication : 2023 ISBN/ISSN/EAN : 9789355518651 Note générale : copyrighted Langues : Anglais (eng) Résumé : Unleash the power of Excel for advanced data analysis, automation, and productivity Key Features ? Build a solid foundation in Excel by learning the basics, including the creation and formatting cells, sheets, and workbooks. ? Explore advanced Excel techniques, including formulas, data analysis, and VBA macros. ? Discover the potential of ChatGPT for Excel automation, that enables you to automate tasks and generate insightful reports. Description Advanced Excel is a powerful tool that goes beyond basic spreadsheet functions, allowing users to perform complex calculations, manipulate large datasets, create interactive visualizations, automate tasks, and conduct in-depth data analysis. If you want to enhance your productivity, accuracy, and decision-making skills in Excel, look no further. This book is a comprehensive guide that explores the advanced features of Microsoft Excel. From creating macros with VBA to automating tasks, working with large datasets, creating visualizations, and conducting data analysis, this book covers it all. Additionally, it also introduces ChatGPT, an AI chatbot that enhances Excel automation. With practical examples and clear instructions, this guide empowers users to maximize their productivity, efficiency, and decision-making skills in Excel. By the end of this book, you will have developed the expertise and confidence to tackle complex tasks in Excel with ease. What you will learn ? Develop proficiency in working with large datasets. ? Conduct data analysis using powerful tools like Vlookup and Advanced Pivot Tables. ? Create impactful charts and graphs that effectively communicate your findings and insights. ? Seamlessly integrate Excel with other applications to streamline your workflows and enhance collaboration. ? Discover time-saving techniques and shortcut keys to improve your productivity and efficiency in Excel. Who this book is for For individuals seeking to enhance their Excel skills for advanced tasks, this extensive book serves as a valuable asset. It also caters to the needs of accountants, financial analysts, business analysts, and data scientists who aspire to boost their efficiency and productivity in Excel. Table of Contents 1. Overview of Excel 2021 2. Cell References and Range 3. Working with Formulas and Functions 4. Data Validation 5. Protection 6. Sorting a Database 7. Filtering a Database 8. Subtotals and Data Consolidation 9. Pivot Tables 10. Conditional Formatting 11. What-if-Analysis 12. Working with Multiple Worksheets, Workbooks and Applications 13. Working with Charts 14. Creating and Recording Macros in VBA 15. Assigning Buttons to Macros 16. Functions and Subroutines in VBA 17. Conditional Statements in VBA 18. Variables and Data Types in VBA 19. Looping Structures in VBA 20. Arrays and Collections in VBA 21. Debugging and Error Handling in VBA 22. User Forms and User Input in VBS 23. Advanced VBA Techniques and Best Practices 24. Building Custom Add-ins with VBA 25. ChatGPT with Excel Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88946029 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=579194 Mastering Azure Synapse Analytics : Learn how to develop end-to-end analytics solutions with Azure Synapse Analytics / Debananda GHOSH / BPB Publications (2023)
Titre : Mastering Azure Synapse Analytics : Learn how to develop end-to-end analytics solutions with Azure Synapse Analytics Type de document : e-book Auteurs : Debananda GHOSH Editeur : BPB Publications Année de publication : 2023 ISBN/ISSN/EAN : 9789355518125 Note générale : copyrighted Langues : Anglais (eng) Résumé : A practical guide that will help you transform your data into actionable insights with Azure Synapse Analytics Key Features ? Explore the different features in the Azure Synapse Analytics workspace. ? Learn how to integrate Power BI and Data Governance capabilities with Azure Synapse Analytics. ? Accelerate your analytics journey with the no-code/low-code capabilities of Azure Synapse. Description Cloud analytics is a crucial aspect of any digital transformation initiative, and the capabilities of the Azure Synapse analytics platform can simplify and streamline this process. By mastering Azure Synapse Analytics, analytics developers across organizations can boost their productivity by utilizing low-code, no-code, and traditional code-based analytics frameworks. This book starts with a comprehensive introduction to Azure Synapse Analytics and its limitless cloud-scale analytics capabilities. You will then learn how to explore and work with data warehousing features in Azure Synapse. Moving on, the book will guide you on how to effectively use Synapse Spark for data engineering and data science. It will help you learn how to gain insights from your data through Observational analytics using Synapse Data Explorer. You will also discover the seamless data integration capabilities of Synapse Pipeline, and delve into the benefits of Synapse Analytics' low-code and no-code pipeline development features. Lastly the book will show you how to create network topology and implement industry-specific architecture patterns in Azure Synapse Analytics. By the end of the book, you will be able to process and analyze vast amounts of data in real-time to gain insights quickly and make informed decisions. What you will learn ? Leverage Synapse Spark for machine learning tasks. ? Use Synapse Data Explorer for telemetry analysis. ? Take advantage of Synapse's common data model-based database templates. ? Query data using T-SQL, KQL, and Spark SQL within Synapse. ? Integrate Microsoft Purview with Synapse for enhanced data governance. Who this book is for This book is designed for Cloud data engineers with prior experience in Azure cloud computing, as well as Chief Data Officers (CDOs) and Data professionals, who want to use this unified platform for data ingestion, data warehousing, and big data analytics. Table of Contents 1. Cloud Analytics Concept 2. Introduction to Azure Synapse Analytics 3. Modern Data Warehouse with the Synapse SQL Pool 4. Query as a Service- Synapse Serverless SQL 5. Synapse Spark Pool Capability 6. Synapse Spark and Data Science 7. Learning Synapse Data Explorer 8. Synapse Data Integration 9. Synapse Link for HTAP 10. Azure Synapse -Unified Analytics Service 11. Synapse Workspace Ecosystem Integration 12. Azure Synapse Network Topology 13. Industry Cloud Analytics Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88942567 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=574636 Mastering Classification Algorithms for Machine Learning : Learn how to apply Classification algorithms for effective Machine Learning solutions (English Edition) / Partha MAJUMDAR / BPB Publications (2023)
Titre : Mastering Classification Algorithms for Machine Learning : Learn how to apply Classification algorithms for effective Machine Learning solutions (English Edition) Type de document : e-book Auteurs : Partha MAJUMDAR Editeur : BPB Publications Année de publication : 2023 ISBN/ISSN/EAN : 9789355518514 Note générale : copyrighted Langues : Anglais (eng) Résumé : A practical guide to mastering Classification algorithms for Machine learningKey Features? Get familiar with all the state-of-the-art classification algorithms for machine learning.? Understand the mathematical foundations behind building machine learning models.? Learn how to apply machine learning models to solve real-world industry problems.DescriptionClassification algorithms are essential in machine learning as they allow us to make predictions about the class or category of an input by considering its features. These algorithms have a significant impact on multiple applications like spam filtering, sentiment analysis, image recognition, and fraud detection. If you want to expand your knowledge about classification algorithms, this book is the ideal resource for you.The book starts with an introduction to problem-solving in machine learning and subsequently focuses on classification problems. It then explores the Naïve Bayes algorithm, a probabilistic method widely used in industrial applications. The application of Bayes Theorem and underlying assumptions in developing the Naïve Bayes algorithm for classification is also covered. Moving forward, the book centers its attention on the Logistic Regression algorithm, exploring the sigmoid function and its significance in binary classification. The book also covers Decision Trees and discusses the Gini Factor, Entropy, and their use in splitting trees and generating decision leaves. The Random Forest algorithm is also thoroughly explained as a cutting-edge method for classification (and regression). The book concludes by exploring practical applications such as Spam Detection, Customer Segmentation, Disease Classification, Malware Detection in JPEG and ELF Files, Emotion Analysis from Speech, and Image Classification.By the end of the book, you will become proficient in utilizing classification algorithms for solving complex machine learning problems.What you will learn? Learn how to apply Naïve Bayes algorithm to solve real-world classification problems.? Explore the concept of K-Nearest Neighbor algorithm for classification tasks.? Dive into the Logistic Regression algorithm for classification.? Explore techniques like Bagging and Random Forest to overcome the weaknesses of Decision Trees.? Learn how to combine multiple models to improve classification accuracy and robustness.Who this book is forThis book is for Machine Learning Engineers, Data Scientists, Data Science Enthusiasts, Researchers, Computer Programmers, and Students who are interested in exploring a wide range of algorithms utilized for classification tasks in machine learning.Table of Contents1. Introduction to Machine Learning2. Naïve Bayes Algorithm3. K-Nearest Neighbor Algorithm4. Logistic Regression5. Decision Tree Algorithm6. Ensemble Models7. Random Forest Algorithm8. Boosting AlgorithmAnnexure 1: Jupyter NotebookAnnexure 2: PythonAnnexure 3: Singular Value DecompositionAnnexure 4: Preprocessing Textual DataAnnexure 5: Stemming and LamentationAnnexure 6: VectorizersAnnexure 7: EncodersAnnexure 8: Entropy Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88942984 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=576353 Mastering Cloud-Native Microservices : Designing and implementing Cloud-Native Microservices for Next-Gen Apps (English Edition) / Chetan WALIA / BPB Publications (2023)PermalinkMastering DevOps in Kubernetes : Maximize your container workload efficiency with DevOps practices in Kubernetes (English Edition) / Soumiyajit DAS CHOWDHURY / BPB Publications (2023)PermalinkMastering MEAN Stack : Build full stack applications using MongoDB, Express.js, Angular, and Node.js (English Edition) / Pinakin ASHOK CHAUBAL / BPB Publications (2023)PermalinkMastering SEQUENCE : Excel's most amazing function with more than 200 examples (English Edition) / Meni PORAT / BPB Publications (2023)PermalinkMaximum Availability Architecture (MAA) with Oracle GoldenGate MicroServices in HUB Architecture : Learn how to use Oracle GoldenGate to improve the availability, reliability, and scalability of your mission-critical systems (English Edition) / Lucia HUSTATYOVA / BPB Publications (2023)PermalinkMongoDB for Jobseekers : Reach new heights in your career with MongoDB (English Edition) / Justin JENKINS / BPB Publications (2023)PermalinkMulti-Cloud Administration Guide : Manage and optimize cloud resources across Azure, AWS, GCP, and Alibaba Cloud (English Edition) / Jeroen MULDER / BPB Publications (2023)Permalink.NET 7 Design Patterns In-Depth : Enhance code efficiency and maintainability with .NET Design Patterns (English Edition) / VAHID FARAHMANDIAN / BPB Publications (2023)Permalink.NET 7 for Jobseekers : Elevate your coding journey with .NET 7 (English Edition) / Filipe VILHENA / BPB Publications (2023)PermalinkNext.js Cookbook : Learn how to build scalable and high-performance apps from scratch (English Edition) / Andrei TAZETDINOV / BPB Publications (2023)Permalink
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