Scalable ML on Big Data using Apache Spark

• Practical Application of Apache Spark: Acquire a comprehensive comprehension of Apache Spark to effectively resolve machine learning challenges, including the seamless management of large datasets.

• Efficient Parallel Computing: Acquire the ability to compose parallel code that is capable of operating efficiently on thousands of CPUs and eliminates out-of-memory errors that are frequently encountered in conventional machine learning frameworks.

• Scalable Machine Learning with SparkML Pipelines: Employ Apache SparkML Pipelines to execute machine learning algorithms on petabytes of data and evaluate thousands of models in parallel to ensure optimal performance.

• Optional Advanced Features: Examine the potential of performing SQL queries on extensive datasets using the Spark DataFrame API and Apache SparkSQL to gain additional functionality.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by IBM

Duration: 6 hours at your own pace

Schedule: Flexible