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Data Science and Machine Learning Platforms
Rating: 4.2 out of 5(49 ratings)
2,093 students

Data Science and Machine Learning Platforms

Further Your Data Science Journey: Transforming Data Prep, Model Building, and Deployment with H2O's tools.
Created byH2O.ai University
Last updated 7/2024
English
English

What you'll learn

  • 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.

Course content

5 sections • 5 lectures • 57m total length

  • Introduction to H2O.ai's Data Science and Machine Learning Platform5:43

    Explore H2O.ai's platform with a hands-on demo of feature stores, projects, access control, notebook labs, and Driverless AI, including data versioning, pipelines, and AutoViz visualizations.

Requirements

  • Basic data science concepts
  • Interest in AI and Machine Learning

Description

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!

Who this course is for:

  • Data Scientists and Analysts.
  • AI and ML Engineers.

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