Enroll Course: https://www.coursera.org/learn/feature-engineering-br
Introduction
In the world of machine learning, the quality of your model often hinges on the features you use. The course Feature Engineering em Português Brasileiro on Coursera dives deep into this crucial aspect of machine learning, focusing on how to optimize your models through effective feature engineering. This review will explore the course’s content, structure, and overall value for learners.
Course Overview
This course is designed for those who want to enhance their understanding of the Vertex AI Feature Store and improve the accuracy of their machine learning models. It covers the identification of useful data columns and the transformation of raw data into meaningful attributes. With a blend of theoretical knowledge and practical applications using BigQuery ML, Keras, and TensorFlow, this course is a comprehensive guide to feature engineering.
Syllabus Breakdown
The course is structured into several modules, each focusing on different aspects of feature engineering:
- Introdução ao curso: An overview of the course objectives.
- Introdução ao Feature Store da Vertex AI: A look into the Vertex AI Feature Store.
- De dados brutos a atributos: Understanding how to create attributes from raw data and what makes a good attribute.
- Engenharia de atributos: Differences between machine learning and statistics, and practical applications in BigQuery ML and Keras.
- Pré-processamento e criação de atributos: Insights into Dataflow and how it aids in preprocessing and feature engineering.
- Cruzamentos de atributos – TensorFlow Playground: The importance of attribute crossings in modern machine learning.
- Introdução ao TensorFlow Transform: A guide to using tf.Transform for data preprocessing.
- Resumo: A summary of the course content.
Why You Should Take This Course
This course is highly recommended for anyone looking to deepen their understanding of feature engineering. It provides a solid foundation for both beginners and those with some experience in machine learning. The practical applications using popular tools like BigQuery ML, Keras, and TensorFlow make it particularly valuable. Additionally, the course is taught in Brazilian Portuguese, making it accessible for Portuguese-speaking learners.
Conclusion
Overall, Feature Engineering em Português Brasileiro is an excellent course that equips learners with the necessary skills to enhance their machine learning models through effective feature engineering. Whether you’re a data scientist, machine learning engineer, or simply someone interested in the field, this course is a worthwhile investment in your education.
Enroll Course: https://www.coursera.org/learn/feature-engineering-br