IaaS vs. PaaS vs. SaaS: Intro to Cloud Computing
July 8, 2024
Article
Recommended experience
Intermediate level
Access to OpenAI API, Basic understanding of data analysis including datatypes and data manipulation, Fundamental understanding of Python programming
Recommended experience
Intermediate level
Access to OpenAI API, Basic understanding of data analysis including datatypes and data manipulation, Fundamental understanding of Python programming
Create text embeddings using OpenAI API
Apply vector similarity measures for product recommendation system
Visualize text embedding vectors with Principal Component Analysis (PCA)
Add to your LinkedIn profile
Only available on desktop
A renowned online shopping platform named GlimmerGate has hired you, as an AI Engineer, to help them improve their product recommendation system. They aim to provide personalized recommendations to users based on their recent product views.
They have provided a product dataset containing information such as title, description, and ID, about 2000 of their products. Additionally, they have supplied a list of 10 recently viewed products by a user. They want you to develop a prototype to recommend products that the user has never viewed before, based on their recently viewed products. As an AI Engineer, your responsibility is to leverage OpenAI's text embedding models to develop a text-based recommendation system using Python. By analyzing the text embeddings of the viewed products and comparing them with the entire product database, your system will generate recommendations that align with the user's preferences. This prototype will significantly enhance the platform's user experience by offering relevant and engaging product suggestions on the GlimmerGate website's main page, ultimately boosting customer satisfaction and retention rates. To get the most out of this course, you'll need access to the OpenAI API Key and a basic understanding of data analysis concepts, including data types, and data manipulation, along with some familiarity with Python. This course is for those who are experienced data analysts with at least a basic knowledge of Python and want to explore the exciting applications of generative AI in data analysis.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Set up project environment
Prepare the dataset
Text embedding and visualization
Find similar products
Recommend products based on the searched products
Access to OpenAI API, Basic understanding of data analysis including datatypes and data manipulation, Fundamental understanding of Python programming
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Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
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Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.