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Overview
Want to know about Vertex AI Feature Store? Want to know how you can improve the accuracy of your ML models? What about how to find which data columns make the most useful features? Welcome to the Feature Engineering course offered by Coursera in partnership with Google Cloud, where we discuss good versus bad features and how you can preprocess and transform them for optimal use in your models.
What you will learn
Use the Vertex AI Feature Store
Describe how to move from raw data to features
Perform Feature Engineering in BigQuery ML and Keras
Preprocess features using Apache Beam and Cloud DataFlow
Use tf.Transform
Programme Structure
Courses include:
- Vertex AI Feature Store
- Raw Data to Features
- Feature Engineering
- Preprocessing and Feature Creation
- Feature Crosses - TensorFlow Playground
- TensorFlow Transform
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Industrial & Systems Engineering Electronics & Embedded Technology Machine Learning View 207 other Short Courses in Machine Learning in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate Level
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
Audit: free access to course materials except graded items|Certificate: a trusted way to showcase your skills|A year of unlimited access with Coursera Plus $199
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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