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Feature Engineering
Coursera
Course
Unknown

Feature Engineering

Google Cloud

Explore Vertex AI Feature Store to improve ML model accuracy and identify key features, with practical labs using BigQuery ML, Keras, and TensorFlow.

Unknown8 weeksEnglish

About this Course

This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.

What You'll Learn

  • Describe Vertex AI Feature Store and key aspects of effective features
  • Perform feature engineering with BigQuery ML, Keras, and TensorFlow
  • Preprocess and explore features using Dataflow and Dataprep
  • Use tf.Transform for feature processing

Prerequisites

  • Basic knowledge of machine learning and data science

Instructors

G

Google Cloud Training

Topics

Data Pipelines
Data Store
Machine Learning
Keras (Neural Network Library)
Data Storage
Data Preprocessing
Real Time Data
MLOps (Machine Learning Operations)
Data Processing
Data Modeling

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

سير عمل البيانات
تخزين البيانات
التعلم الآلي
مكتبة Keras
معالجة البيانات المسبقة
البيانات الحية
عمليات التعلم الآلي
MLOps (Machine Learning Operations)
Data Processing
Data Modeling

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