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- Level Intermediate
- Duration 3 hours
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Este proyecto es un curso práctico y efectivo para aprender a generar modelos de Machine Learning en un entorno de Big Data de Spark. Te enseñaremos a utilizar la herramienta de Big Data de Databricks. Y finalmente aprenderás, desde cero los fundamentos del MLlib en Spark y acabarás desarrollando un modelo completo y avanzado con Spark en Databricks.Auto Summary
Embark on an exciting journey into the world of Machine Learning with the course "Machine Learning con Spark (MLlib) en Databricks," offered by Coursera. This intermediate-level course is designed to provide hands-on experience in creating robust machine learning models within a Spark Big Data environment. Spanning a comprehensive duration of 180 minutes, this course equips learners with practical skills and knowledge essential for navigating the intricate landscape of data science and artificial intelligence. Guided by expert instructors, participants will delve into the intricacies of using Spark's MLlib to tackle real-world big data challenges effectively. The course is perfectly suited for intermediate-level learners who have a foundational understanding of data science concepts and are eager to expand their expertise in machine learning applications. One of the standout features of this course is its accessibility, as it is available for free, making it an excellent opportunity for data enthusiasts to enhance their skills without financial barriers. Whether you are a data scientist looking to deepen your knowledge or a professional aiming to integrate advanced machine learning techniques into your workflow, this course offers valuable insights and practical experience to help you achieve your goals.