Distributed Machine Learning and Its Implementation with H2O

Gain insights into H2O-3's scalable framework and explore model interpretability, AutoML features, and algorithm implementation. Discover how to derive insights and tackle big data for explainable ML solutions.

5.0

37 Lessons

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This course teaches about a distributed and highly scalable machine learning framework known as H2O-3. H2O has become the go-to solution for organizations seeking to build data-driven and explainable solutions. In this course, you’ll learn about H2O’s versatile machine learning framework, which empowers you with high-performing and interpretable machine learning models. The H2O framework is compatible with Java, JSON, R, Python, and Scala. You’ll start by covering the concepts of machine learning models. As you progress, you’ll explore H2O’s core strengths: its focus on model interpretability and the efficiency-enhancing AutoML features. You’ll get to implement supervised and unsupervised algorithms and derive insights from them. This course will equip you with expertise that will advance your career by making them valuable for tackling big data, creating explainable models, and automating ML tasks, opening doors in various industries.

This course teaches about a distributed and highly scalable machine learning framework known as H2O-3. H2O has become the go-to ...Show More

WHAT YOU'LL LEARN

An understanding of distributed machine learning

Working knowledge of the powerful H2O ML framework, including various algorithms and their implementation in data science use cases

Hands-on experience in building explainable machine learning models and deriving insights from them

The ability to utilize autoML tools effectively for building fast, scalable, and robust machine learning models

An understanding of distributed machine learning

TAKEAWAY SKILLS

Machine Learning

Data Science

Python

Artificial Intelligence

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Course Author:

Tarique Husaain

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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