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Tag: AutoML

  • Practical Automated Machine Learning on Azure: Using AutoML to Build and – GOOD

    Practical Automated Machine Learning on Azure: Using AutoML to Build and – GOOD



    Practical Automated Machine Learning on Azure: Using AutoML to Build and – GOOD

    Price : 10.06

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    Optimizing Your Models

    Are you looking to streamline your machine learning process and improve the accuracy of your models? Look no further than Azure’s AutoML, a powerful tool that automates the machine learning pipeline and helps you build high-performing models with ease.

    In this post, we will explore how to use AutoML on Azure to build and optimize your machine learning models. We will cover topics such as data preprocessing, feature selection, model selection, hyperparameter tuning, and more. By the end of this post, you will have a better understanding of how to leverage AutoML to create practical and efficient machine learning solutions.

    Stay tuned for more tips and tricks on how to make the most out of Azure’s AutoML for your machine learning projects! #AutoML #Azure #MachineLearning #DataScience #AI #Automation
    #Practical #Automated #Machine #Learning #Azure #AutoML #Build #GOOD, machine learning

  • Mastering ML System Design Interviews: The Definitive Guide to AI-Powered Machine Learning, AutoML, Edge Computing and Federated Learning

    Mastering ML System Design Interviews: The Definitive Guide to AI-Powered Machine Learning, AutoML, Edge Computing and Federated Learning


    Price: $49.99 – $29.90
    (as of Dec 24,2024 08:18:04 UTC – Details)


    From the Publisher

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    ASIN ‏ : ‎ B0DBYJ2VF3
    Publisher ‏ : ‎ Independently published (July 30, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 129 pages
    ISBN-13 ‏ : ‎ 979-8334579668
    Item Weight ‏ : ‎ 14.1 ounces
    Dimensions ‏ : ‎ 8.5 x 0.3 x 11 inches


    Mastering ML System Design Interviews: The Definitive Guide to AI-Powered Machine Learning, AutoML, Edge Computing and Federated Learning

    Are you preparing for a Machine Learning system design interview and feeling overwhelmed by the vast array of topics you need to cover? Look no further! In this comprehensive guide, we will delve into the key concepts and strategies that will help you ace your ML system design interviews.

    AI-Powered Machine Learning: Learn how to leverage the power of artificial intelligence to enhance your machine learning models and algorithms. Understand the latest advancements in AI technologies and how they can be applied to improve the performance of your ML systems.

    AutoML: Explore the world of automated machine learning (AutoML) and discover how it can streamline the process of building and deploying ML models. Learn about the different AutoML tools and platforms available, and how they can help you achieve faster and more efficient model development.

    Edge Computing: Dive into the world of edge computing and understand how it can revolutionize the way we deploy and run ML models. Explore the benefits of edge computing in terms of speed, efficiency, and scalability, and learn how to design ML systems that are optimized for edge devices.

    Federated Learning: Discover the power of federated learning and how it can enable secure and privacy-preserving collaborative model training across multiple devices and data sources. Learn about the challenges and opportunities of federated learning, and how to design ML systems that are federated learning-friendly.

    Whether you are a seasoned ML practitioner or just starting out in the field, this guide will provide you with the knowledge and skills you need to excel in ML system design interviews. Master the latest trends and technologies in AI-powered machine learning, AutoML, edge computing, and federated learning, and take your ML career to the next level. Good luck!
    #Mastering #System #Design #Interviews #Definitive #Guide #AIPowered #Machine #Learning #AutoML #Edge #Computing #Federated #Learning