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所在平台: Udemy |
课程主页: https://www.udemy.com/course/h2o-driverless-ai-starter-course/
课程评论：没有评论
Coursera 上的 H2O Driverless AI 入门课程： 本课程由 H2O.ai 全球培训负责人 Andreea Turcu 主讲，旨在教授学员如何使用 H2O Driverless AI 进行自动化机器学习（AutoML）。无论您的经验水平如何，本课程都将为您提供在项目中使用 AutoML 的必要技能。 **课程内容涵盖：** * **H2O Driverless AI 基础：** 包括环境设置、数据导入和界面导航。 * **数据处理与分析：** 学习数据预处理、可视化和分析，为机器学习模型开发打下基础。 * **模型开发与优化：** 深入了解特征工程、模型调优、实验管理、结果解释和报告生成，并包含实践任务。 * **高级特性：** 掌握自定义配方创建和模型微调等高级功能。 **课程亮点：** * **实践导向：** 提供大量实践练习，帮助您掌握实际操作技能。 * **全面掌握：** 帮助您熟练运用 H2O Driverless AI 进行 AutoML，并提升数据分析和环境设置能力。 * **职业发展：** 完成课程可获得 H2O Driverless AI 认证，为您的 AI 和数据科学职业生涯加分。 立即报名，掌握 H2O Driverless AI 自动化机器学习的强大能力！
Join Andreea Turcu, our Head of Global Training, as she guides you through the "Driverless AI Starter Course" by H2O ai. Dive into automated machine learning (AutoML) using H2O Driverless AI. This course is suitable for all levels and will provide you with the necessary skills to apply AutoML in your projects.You'll learn the basics of H2O Driverless AI, including setup, data import, and interface navigation. The course offers hands-on experience in data preprocessing, visualization, and analysis, preparing you for machine learning model development.The course covers advanced topics like correlation graphs, prediction creation, and model performance optimization. You'll learn to hyper-tune models, manage experiments, interpret results, and generate reports. Practical tasks are included for real-world practice.Upon completion, you'll not only be proficient in using H2O Driverless AI for AutoML but also gain skills in setting up environments, analyzing data, and utilizing advanced features like custom recipe creation and model fine-tuning. This course goes beyond theory, offering practical skills that can be applied in the real world. Additionally, you'll be eligible for the H2O Driverless AI Certification. This certification is a testament to your proficiency and can significantly enhance your career prospects in the fields of AI and data science.Enroll now to master automated machine learning with H2O Driverless AI.
