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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.”
Read more
This is a self-paced lab that takes place in the Google Cloud console.”
Read more
This is a self-paced lab that takes place in the Google Cloud console.”
In this lab, we will use Apache Beam ML RunInference transform to show how with just a few lines of code you can enable a real-time pipeline that will scale with your needs!
Register for this course and see more details by visiting:
OpenCourser.com/course/eca7s6/using
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What's inside
Syllabus
Using Beam ML to catch Toxicity in Gaming
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Strong fit for learners who are interested in real-time processing and machine learning streaming
Taught by Google Cloud Training, who are recognized for their work in machine learning and cloud computing
Offers hands-on labs and interactive materials that enhance practical learning
Requires learners to come in with some background knowledge in Apache Beam and Python
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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 Using Beam ML to catch Toxicity in Gaming with these
activities:
Review Apache Beam Concepts
Show steps
Review Apache Beam concepts to strengthen your foundation for the course.
Browse courses on
Apache Beam
Show steps
-
Go over Apache Beam documentation
-
Read articles or blog posts about Apache Beam
-
Take a practice quiz on Apache Beam
Organize Course Materials
Show steps
Organize course materials to enhance your learning experience.
Show steps
-
Gather all course materials
-
Create a system for organizing the materials
-
Review and update your organization system regularly
Reach Out to Industry Experts
Show steps
Reach out to industry experts to gain insights and guidance related to the course topics.
Show steps
-
Identify potential mentors in the field
-
Craft a personalized message introducing yourself and your goals
-
Follow up and schedule a meeting or call
Show all three activities
Review Apache Beam Concepts
Show steps
Review Apache Beam concepts to strengthen your foundation for the course.
Browse courses on
Apache Beam
Show steps
Show steps
Show steps
- Go over Apache Beam documentation
- Read articles or blog posts about Apache Beam
- Take a practice quiz on Apache Beam
Organize Course Materials
Show steps
Organize course materials to enhance your learning experience.
Show steps
Show steps
Show steps
- Gather all course materials
- Create a system for organizing the materials
- Review and update your organization system regularly
Reach Out to Industry Experts
Show steps
Reach out to industry experts to gain insights and guidance related to the course topics.
Show steps
Show steps
Show steps
- Identify potential mentors in the field
- Craft a personalized message introducing yourself and your goals
- Follow up and schedule a meeting or call
Show all three activities
Career center
Learners who complete Using Beam ML to catch Toxicity in Gaming will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
**Data Scientists** build and deploy machine learning models to solve complex business problems. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Data Scientists working on projects that require real-time processing of data.
Data Engineer
Data Engineer
**Data Engineers** design and build data pipelines to support data analysis and machine learning. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Data Engineers working on projects that require real-time processing of data.
Machine Learning Engineer
Machine Learning Engineer
**Machine Learning Engineers** build and deploy machine learning models to solve complex business problems. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Machine Learning Engineers working on projects that require real-time processing of data.
Software Engineer
Software Engineer
**Software Engineers** design, build, and maintain software applications. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Software Engineers working on projects that require real-time processing of data.
Systems Engineer
Systems Engineer
**Systems Engineers** design and build complex systems, such as computer networks and data centers. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Systems Engineers working on projects that require real-time processing of data.
Data Analyst
Data Analyst
**Data Analysts** use data to identify trends and patterns, and to make recommendations for improving business decisions. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Data Analysts working on projects that require real-time processing of data.
Business Analyst
Business Analyst
**Business Analysts** help organizations to improve their business processes. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Business Analysts working on projects that require real-time processing of data.
Project Manager
Project Manager
**Project Managers** plan and execute projects. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Project Managers working on projects that require real-time processing of data.
Product Manager
Product Manager
**Product Managers** define and manage the development of software products. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Product Managers working on products that require real-time processing of data.
Marketing Manager
Marketing Manager
**Marketing Managers** plan and execute marketing campaigns to promote products and services. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Marketing Managers working on campaigns that require real-time processing of data.
Sales Manager
Sales Manager
**Sales Managers** lead teams of sales representatives to sell products and services. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Sales Managers working on teams that require real-time processing of data.
Customer Success Manager
Customer Success Manager
**Customer Success Managers** help customers to achieve success with their products and services. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Customer Success Managers working with customers that require real-time processing of data.
Operations Manager
Operations Manager
**Operations Managers** plan and execute the operations of an organization. This course provides a foundation in using Apache Beam ML to build real-time pipelines that can scale with your needs. This can be particularly valuable for Operations Managers working on operations that require real-time processing of data.
Human Resources Manager
Human Resources Manager
**Human Resources Managers** plan and execute the human resources functions of an organization. This course may be useful for Human Resources Managers working on projects that require real-time processing of data.
Executive
Executive
**Executives** lead and manage organizations. This course may be useful for Executives working on projects that require real-time processing of data.
For more career information including salaries, visit:
OpenCourser.com/course/eca7s6/using
Reading list
We've selected 16 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
Using Beam ML to catch Toxicity in Gaming.
Provides a comprehensive overview of data science using Python. It covers topics such as data cleaning, data analysis, and data visualization. It great resource for anyone who wants to learn more about data science.
Machine Learning for Data Streams deals with the analytical challenges of handling data that changes over time. Online learning algorithms are needed to adapt to changing conditions and to handle the sequential nature of the data. provides a comprehensive overview of online learning algorithms.
Provides a comprehensive overview of data analysis using Python. It covers topics such as data cleaning, data manipulation, and data visualization. It great resource for anyone who wants to learn more about data analysis.
Deep Learning with TensorFlow 2 and Keras provides a hands-on guide to building, training, and deploying deep learning models using TensorFlow 2 and Keras. The book is also helpful for gaining a deeper understanding of the underlying concepts of deep learning.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow provides a practical and hands-on approach to machine learning. The book covers the fundamentals of machine learning, as well as more advanced topics such as deep learning and natural language processing.
Provides a comprehensive overview of natural language processing (NLP) using Python. It covers topics such as text classification, sentiment analysis, and named entity recognition. It great resource for anyone who wants to learn more about NLP.
Provides a practical introduction to deep learning using Python. It covers topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It great resource for anyone who wants to learn more about deep learning.
Save
Provides a deep dive into the Python programming language, covering topics such as data structures, algorithms, and object-oriented programming. It great resource for anyone who wants to improve their Python skills.
Grokking Deep Learning book that provides a gentle introduction to deep learning. The book is written in a clear and concise style, and it is packed with helpful illustrations.
Deep Learning Illustrated book that provides a visual introduction to deep learning. The book is written in a clear and concise style, and it is packed with helpful illustrations.
Machine Learning with Python Cookbook book that provides a collection of recipes for solving common machine learning problems. The book is written in a clear and concise style, and it is packed with helpful code examples.
Natural Language Processing with Python book that provides a comprehensive overview of natural language processing. The book covers the fundamentals of natural language processing, as well as more advanced topics such as deep learning and machine translation.
Speech and Language Processing book that provides a comprehensive overview of speech and language processing. The book covers the fundamentals of speech and language processing, as well as more advanced topics such as deep learning and machine translation.
Save
Machine Learning textbook that provides a comprehensive overview of machine learning. The book covers the fundamentals of machine learning, as well as more advanced topics such as deep learning and machine translation.
Save
Deep Learning textbook that provides a comprehensive overview of deep learning. The book covers the fundamentals of deep learning, as well as more advanced topics such as deep learning and machine translation.
Machine Learning for Hackers book that provides a practical and hands-on approach to machine learning. The book covers the fundamentals of machine learning, as well as more advanced topics such as deep learning and machine translation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/eca7s6/using
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Effort
90 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Strong fit for learners who are interested in real-time processing and machine learning streaming
Taught by Google Cloud Training, who are recognized for their work in machine learning and cloud computing
Offers hands-on labs and interactive materials that enhance practical learning
Requires learners to come in with some background knowledge in Apache Beam and Python
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