Enroll Course: https://www.coursera.org/learn/feature-engineering-br
In the ever-evolving landscape of machine learning, the quality of your features can make or break your model’s performance. If you’re looking to elevate your ML game, especially within the Google Cloud ecosystem, the “Feature Engineering em Português Brasileiro” course on Coursera is an absolute must-take. This course, taught entirely in Brazilian Portuguese, provides a comprehensive understanding of how to craft superior features, ultimately leading to more accurate and robust machine learning models.
The course kicks off with a solid introduction, setting the stage for what’s to come. A significant portion is dedicated to the Vertex AI Feature Store, a crucial component for managing and serving features at scale. Understanding how to leverage this tool is paramount for any serious machine learning practitioner working with Google Cloud.
The core of the course delves into the art and science of feature engineering. You’ll learn to distinguish between good and bad attributes, a skill that often separates successful ML projects from those that falter. The instructors guide you through the process of transforming raw data into meaningful features, emphasizing the importance of domain knowledge in this critical phase. The practical application of these concepts is highlighted through the use of BigQuery ML, Keras, and TensorFlow, allowing you to get hands-on experience with industry-standard tools.
Key modules cover essential topics such as data preprocessing and feature creation, with a special focus on technologies like Dataflow and Apache Beam. These tools are invaluable for handling large datasets and complex transformations. The course also explores the power of feature crosses, particularly in the context of TensorFlow Playground, demonstrating how combining features can unlock new predictive power.
Furthermore, the course introduces TensorFlow Transform (tf.Transform), a powerful library for data preprocessing within TensorFlow. You’ll discover its utility in tasks like normalization, string-to-integer mapping, and bucketing, all of which require a full pass over the data. This deep dive into tf.Transform equips you with advanced techniques for preparing your data for deep learning models.
Overall, “Feature Engineering em Português Brasileiro” is a well-structured and highly practical course. Whether you’re a data scientist, ML engineer, or simply someone passionate about building better machine learning models, this course offers invaluable insights and hands-on experience. It’s particularly beneficial for those looking to deepen their expertise in feature engineering within the Google Cloud ecosystem. Highly recommended!
Enroll Course: https://www.coursera.org/learn/feature-engineering-br