Udemy

Data Science and Machine Learning Platforms

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  • 1,840 名學生
  • 更新於 7/2024
4.2
(38 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
0 小時 57 分鐘
教學語言
英語
授課導師
H2O.ai University
評分
4.2
(38 個評分)
1次瀏覽

課程簡介

Data Science and Machine Learning Platforms

Further Your Data Science Journey: Transforming Data Prep, Model Building, and Deployment with H2O's tools.

Master Data Science Workflows with H2O: From Prep to Deployment & Generative AI with Michelle Tanco and Jon Farland!

This course equips you with H2O's suite of cutting-edge tools, such as Driverless AI, H2O Actions, the Wave App, Gen AI AppStore, LLM DataStudio, H2O LLMStudio, Enterprise GPTe, h2oGPT, and Eval Studio.

In this comprehensive course, you will develop a thorough understanding of data preparation and visualization using H2O's intuitive tools, enabling you to efficiently clean, transform, and explore data to uncover actionable insights without the traditional complexities of data wrangling. Dive deep into automated machine learning mastery with Driverless AI, leveraging its automation capabilities to streamline model building processes, allowing you to focus on strategic analysis and solving complex problems effectively. Gain expertise in seamless model deployment techniques, ensuring that your models translate into impactful business outcomes with ease and efficiency.

Explore the best of what generative AI has to offer with Enterprise GPTe and H2OGPT, where you will delve into advanced tasks such as text generation, language translation, and creative content development, empowering you to innovate and excel in data science and business decision-making. Join us on this transformative journey to elevate your skills and harness the full potential of H2O's tools for driving data-driven insights and strategic business success.

Come aboard our dynamic course and elevate your data science skills!

課程章節

  • 5 個章節
  • 5 堂課
  • 第 1 章 Introduction and Project Planning
  • 第 2 章 Data Science Techniques
  • 第 3 章 Model Consumption and Deployment
  • 第 4 章 Advanced Topics in AI
  • 第 5 章 Course Completion Quiz

課程內容

  • Develop a solid foundation in planning data science projects, focusing on goal-setting, resource management, and effective tool selection.
  • Learn essential data preparation and visualization skills, enabling you to clean, transform, and explore data for meaningful insights.
  • Master model deployment techniques and learn how to integrate H2O tools to efficiently manage and monitor model performance in production.
  • Explore advanced generative AI capabilities and AI governance, applying these to complex tasks like RAG systems and model management.


評價

  • H
    Hiroshan Mihiranga
    4.5

    It is good for me.

  • M
    Mohamed Ahamed Arham
    4.0

    Nice teaching method

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