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Practical Machine Learning on H2O

In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms. You will also be able to evaluate your models and choose the best model to suit not just your data but the other business restraints you may be under.

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What's inside

Syllabus

H2O AND THE FUNDAMENTALS

Trees And Overfitting

LINEAR MODELS AND MORE

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Taught by Darren Cook, an instructor with a successful track record of teaching machine learning

Covers core machine learning concepts, including linear models, random forest, and deep learning, making it suitable for beginners with no prior machine learning knowledge

Emphasizes practical applications and enables learners to evaluate and select models based on data and business constraints

Utilizes H2O, an open-source machine learning platform, providing learners with hands-on experience with industry-standard tools

Covers unsupervised learning algorithms, expanding the scope of machine learning techniques taught

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Reviews summary

Practical h2o machine learning basics

According to learners, this course provides a practical introduction to machine learning using the H2O platform. It appears to cover several common algorithms through hands-on examples. However, some students suggest that while good for getting started with H2O, it may not be suitable for absolute beginners to machine learning itself and assumes some foundational knowledge. The focus is on applying ML models using H2O's tools rather than deep theoretical understanding.

Covers breadth over depth of topics.

"Felt like it only scratched the surface on some algorithms; I needed external resources for deeper understanding."

"While it covers various models, I wish there was more detailed explanation of the underlying theory for each."

"Good survey of topics, but it doesn't provide deep dives into any single algorithm or concept."

Good overview of H2O interface/usage.

"Gives a comprehensive introduction to the H2O platform and its capabilities, very helpful for new users."

"I now feel comfortable navigating and using the H2O environment for basic tasks."

"A great way to get started quickly with the H2O platform for building models."

Strong emphasis on using H2O hands-on.

"The hands-on labs were the best part for applying what I learned about H2O."

"I appreciated that the course jumped right into coding and using the H2O library effectively."

"Learned how to apply ML techniques directly using H2O, which felt very practical for my work."

Some prior ML or stats knowledge helps.

"Despite the description, having some prior ML or statistics knowledge made this course much easier to follow."

"I found it difficult without understanding the math behind the models; it's not truly for absolute beginners."

"The course is practical, but it seems better suited if you already know the basics of ML algorithms conceptually."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Practical Machine Learning on H2O with these activities:

Follow 'A Comprehensive Guide to H2O'

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Helps familiarize yourself with H2O, the platform used in this course.

Browse courses on H2O

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Visita the H2O website and create an account.
Access the 'A Comprehensive Guide to H2O' tutorial.
Work through the tutorial, completing the interactive exercises.

Read 'Machine Learning Yearning'

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Provides a solid foundation in machine learning concepts, setting you up for success in this course.

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Obtain a copy of 'Machine Learning Yearning'.
Read the first three chapters to get an overview of machine learning.
Complete exercises and review questions within the book.

Create a Course Knowledge Base

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Supports effective review and knowledge retention throughout the course.

Browse courses on Machine Learning

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Organize course notes, assignments, and other materials in one central location.
Review and summarize key concepts regularly.
Create flashcards or a study guide for quick reference.

Four other activities

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Join a Study Group

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Provides opportunities for collaboration and peer support, enhancing your learning experience.

Browse courses on Machine Learning

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Find or create a study group with fellow course participants.
Meet regularly to discuss course material, work on assignments, and share insights.
Provide feedback and support to group members.

Complete H2O Practice Drills

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Provides hands-on practice with H2O, reinforcing your understanding of its features.

Browse courses on H2O

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Access the H2O practice drills on the course website.
Complete at least 10 practice drills, covering different H2O functions and algorithms.
Review your results and identify areas for improvement.

Build a Personal Machine Learning Model

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Develops your practical skills in applying H2O for real-world machine learning problems.

Browse courses on Machine Learning

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Identify a problem that can be solved using machine learning.
Collect and prepare a dataset relevant to the problem.
Use H2O to build and train a machine learning model.
Evaluate the model's performance and make adjustments as needed.
Create a report or presentation summarizing your project.

Participate in the H2O Kaggle Competition

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Challenges you to apply your H2O skills in a competitive setting, fostering a deeper understanding.

Browse courses on Machine Learning

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Join the H2O Kaggle Competition.
Analyze the competition data and develop a machine learning approach.
Build and train your model using H2O.
Submit your predictions to the competition leaderboard.
Track your progress and learn from other participants.

Career center

Learners who complete Practical Machine Learning on H2O will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

As a Machine Learning Engineer, you will use the principles, algorithms, and techniques of machine learning to build and deploy models that will enhance the ML efforts and help optimize performance. This course is in line with giving you a foundational background in ML. The course will help you explore machine learning, create different models, and evaluate them in order to settle for the best model.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data scientists are problem-solvers who use their knowledge of statistics and machine learning to analyze data and extract valuable insights. In this course, you'll learn how to use H2O, an open-source machine learning platform, to build and deploy machine learning models. This will give you the skills you need to succeed as a data scientist.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

Quantitative analysts use mathematical and statistical models to assess the risk of investments. This course will help you build the skills you need to succeed as a quantitative analyst. You'll learn how to use H2O to build and deploy machine learning models, which can be used to analyze financial data and make investment decisions.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

Business analysts use data to solve business problems. This course will help you build the skills you need to succeed as a business analyst. You'll learn how to use H2O to build and deploy machine learning models, which can be used to analyze business data and make better decisions.

See salaries and explore the career path for Business Analyst

Actuary

Actuaries use mathematical and statistical models to assess the risk of future events. This course will help you build the skills you need to succeed as an actuary. You'll learn how to use H2O to build and deploy machine learning models, which can be used to analyze insurance data and make risk assessments.

See salaries and explore the career path for Actuary

Software Engineer

Software engineers design, develop, and maintain software systems. This course will help you build the skills you need to succeed as a software engineer. You'll learn how to use H2O to build and deploy machine learning models, which can be used to improve the performance of software systems.

See salaries and explore the career path for Software Engineer

Data Engineer

Data engineers design, build, and maintain data pipelines. This course will help you build the skills you need to succeed as a data engineer. You'll learn how to use H2O to build and deploy machine learning models, which can be used to improve the quality of data pipelines.

See salaries and explore the career path for Data Engineer

Product Manager

Product managers are responsible for the development and launch of new products. This course will help you build the skills you need to succeed as a product manager. You'll learn how to use H2O to build and deploy machine learning models, which can be used to improve the performance of new products.

See salaries and explore the career path for Product Manager

Marketing Manager

Marketing managers are responsible for the development and execution of marketing campaigns. This course will help you build the skills you need to succeed as a marketing manager. You'll learn how to use H2O to build and deploy machine learning models, which can be used to improve the effectiveness of marketing campaigns.

See salaries and explore the career path for Marketing Manager

Sales Manager

Sales managers are responsible for the development and execution of sales strategies. This course will help you build the skills you need to succeed as a sales manager. You'll learn how to use H2O to build and deploy machine learning models, which can be used to improve the performance of sales teams.

See salaries and explore the career path for Sales Manager

Customer Success Manager

Customer success managers are responsible for the satisfaction and retention of customers. This course will help you build the skills you need to succeed as a customer success manager. You'll learn how to use H2O to build and deploy machine learning models, which can be used to improve the customer experience.

See salaries and explore the career path for Customer Success Manager

Operations Manager

Operations managers are responsible for the day-to-day operations of a business. This course will help you build the skills you need to succeed as an operations manager. You'll learn how to use H2O to build and deploy machine learning models, which can be used to improve the efficiency and effectiveness of operations.

See salaries and explore the career path for Operations Manager

Financial Analyst

Financial analysts provide financial advice to individuals and businesses. This course will help you build the skills you need to succeed as a financial analyst. You'll learn how to use H2O to build and deploy machine learning models, which can be used to analyze financial data and make investment decisions.

See salaries and explore the career path for Financial Analyst

Risk Manager

Risk managers are responsible for identifying and managing risks. This course will help you build the skills you need to succeed as a risk manager. You'll learn how to use H2O to build and deploy machine learning models, which can be used to analyze risk data and make risk management decisions.

See salaries and explore the career path for Risk Manager

Insurance Underwriter

Insurance underwriters assess the risk of insurance policies. This course will help you build the skills you need to succeed as an insurance underwriter. You'll learn how to use H2O to build and deploy machine learning models, which can be used to analyze insurance data and make underwriting decisions.

See salaries and explore the career path for Insurance Underwriter

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Practical Machine Learning on H2O.

Practical Machine Learning with H2O

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Practical guide to machine learning with H2O. If you want to learn how to use H2O to solve machine learning problems, this book good option.

Practical Machine Learning on H2O

Two deals to help you save

What's inside

Syllabus

Traffic lights

Save this course

Reviews summary

Practical h2o machine learning basics

Activities

Career center

Reading list

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