Feature Engineering 日本語版

Feature Engineering 日本語版

Feature Engineering 日本語版 This course is part of Machine Learning with TensorFlow Google Cloud 日本語版 Specialization Taught in Japanese Video subtitles available Instructor: Google Cloud Training Enroll Starts Mar 24 Financial aid available Included with • Learn more Course Gain insight into a topic and learn the fundamentals 4.5 (10 reviews) Intermediate level Some related

Description

Feature engineering is a crucial step in the process of developing machine learning models. By selecting, extracting, and transforming relevant features from raw data, engineers can enhance the predictive power of their models and ultimately improve their performance.

In recent years, the importance of feature engineering has been widely recognized in the field of data science. However, much of the existing literature on this topic is written in English, making it inaccessible to non-English speakers. In order to bridge this language gap, it is essential to provide resources and information in other languages, including Japanese.

The Japanese version of feature engineering, or 特徴量エンジニアリング, aims to provide Japanese-speaking data scientists and engineers with a comprehensive understanding of the principles and techniques involved in feature engineering. From basic concepts

Feature Engineering 日本語版

This course is part of Machine Learning with TensorFlow Google Cloud 日本語版 Specialization

Taught in Japanese

Google Cloud Training

Instructor: Google Cloud Training

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.5

(10 reviews)

Intermediate level
Some related experience required
12 hours (approximately)
Flexible schedule
Learn at your own pace

What you’ll learn

  • Vertex AI Feature Store を使用する

  • 元データから特徴への移行方法および特徴量エンジニアリングの実行方法を説明する

  • Apache Beam と Cloud DataFlow を使用して特徴を前処理する

  • tf.Transform を使用する

Details to know

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Assessments

6 quizzes

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