Feature Engineering en Español

Feature Engineering en Español

Feature Engineering en Español This course is part of Machine Learning with TensorFlow on Google Cloud en Español Specialization Taught in Spanish Video subtitles available Instructor: Google Cloud Training Enroll for Free Starts Mar 24 Financial aid available 2,992 already enrolled Included with • Learn more Course Gain insight into a topic and learn the

Description

Feature engineering is a crucial step in the process of developing machine learning models. It involves transforming raw data into a format that is suitable for input into a machine learning algorithm. While this concept is widely discussed and utilized in the English-speaking machine learning community, its relevance and importance are also acknowledged in Spanish-speaking communities, where it is known as “Feature Engineering en Español.”

Feature engineering en Español involves a series of techniques and processes that aim to create new features or optimize existing ones to better represent the underlying patterns in the data. By doing so, machine learning models can make more accurate predictions and produce better results. Some common techniques used in feature engineering en Español include encoding categorical variables, scaling numerical features, and creating interaction terms between different features.

One of the key aspects of feature engineering en Españ

Feature Engineering en Español

This course is part of Machine Learning with TensorFlow on Google Cloud en Español Specialization

Taught in Spanish

Google Cloud Training

Instructor: Google Cloud Training

2,992 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.3

(29 reviews)

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

What you’ll learn

  • Usar Vertex AI Feature Store

  • Describir cómo ir de los datos sin procesar a los atributos y realizar ingeniería de atributos

  • Realizar el procesamiento previo de atributos con Apache Beam y Cloud DataFlow

  • Usar tf.Transform

Details to know

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Assessments

6 quizzes

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