Recommendation Systems with TensorFlow on Google Cloud faq

instructor Instructor: Google Cloud instructor-icon
duration Duration: 7.00 duration-icon

In this course, learners will use TensorFlow and Google Cloud to build a recommendation system. Through the use of classification models and embeddings, learners will create a machine learning pipeline to create a powerful recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

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Course Feature

costCost:

Free Trial

providerProvider:

Pluralsight

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)

In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.
In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine. This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
By taking this course, learners will acquire the skills and knowledge necessary to build a ML pipeline that functions as a recommendation engine. Specifically, learners will gain an understanding of classification models, embeddings, and ML pipelines, as well as how to use TensorFlow and Google Cloud to build a recommendation system. Additionally, learners will gain an understanding of how to deploy and monitor a recommendation system.

How does this course contribute to professional growth?
This course is part of the Advanced Machine Learning on Google Cloud series, which provides a comprehensive overview of the Google Cloud platform and its capabilities.

Is this course suitable for preparing further education?
This course is suitable for preparing further education in the field of machine learning and recommendation systems. It provides a comprehensive overview of the concepts and techniques used to build a ML pipeline that functions as a recommendation engine. The course also covers the use of classification models and embeddings, which are essential for further study in the field.

Course Provider

Provider Pluralsight's Stats at AZClass

Pluralsight ranked 16th on the Best Medium Workplaces List.
Pluralsight ranked 20th on the Forbes Cloud 100 list of the top 100 private cloud companies in the world.
Pluralsight Ranked on the Best Workplaces for Women List for the second consecutive year.
AZ Class hope that this free trial Pluralsight course can help your Tensorflow skills no matter in career or in further education. Even if you are only slightly interested, you can take Recommendation Systems with TensorFlow on Google Cloud course with confidence!

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faq FAQ for Tensorflow Courses

Q1: What is the purpose of this course?

This course is designed to teach you how to build and deploy recommendation systems using TensorFlow on Google Cloud. You will learn how to use machine learning and artificial intelligence to create data-driven models that can be used to make personalized recommendations. Additionally, you will gain an understanding of cloud computing, big data, and data science principles.

Q2: What skills will I gain from this course?

By taking this course, you will gain the skills necessary to build and deploy recommendation systems using TensorFlow on Google Cloud. You will also gain an understanding of machine learning, artificial intelligence, cloud computing, big data, and data science principles. Additionally, you will learn how to use data-driven models to make personalized recommendations.

Q3: Does the course offer certificates upon completion?

Yes, this course offers a free trial certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q4: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q5: How many people have enrolled in this course?

So far, a total of 0 people have participated in this course. The duration of this course is 7.00 hour(s). Please arrange it according to your own time.

Q6: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Pluralsight's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Pluralsight may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Tensorflow courses and certifications, our extensive collection at azclass.net will help you.

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