Description for 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
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