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Optimize Java Data Performance for ML

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Coursera

Optimize Java Data Performance for ML

Starweaver
Scott Cosentino

Instructors: Starweaver

Included with Coursera Plus

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Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Evaluate different data structure and parsing strategies and implement the best fitting structure to their data project.

  • Design a sort and search strategy to allow for data in a project to be sorted and searched as quickly as possible.

  • Examine memory and heap profiles from Java applications to identify opportunities for memory optimization.

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Taught in English

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There are 3 modules in this course

This module gives an overview of the different techniques for structuring and parsing data in Java applications. You'll explore how to choose data structures for different types of data, as well as how to optimize data loading through CSV loaders.

What's included

8 readings

This module gives an overview of sorting and searching techniques for machine learning datasets. You'll explore how sorting and searching apply to projects, as well as how these techniques are typically applied.

What's included

6 readings

This module gives an overview of the memory management and profiling techniques commonly used with Java applications. The module also discusses how to use memory profiling to identify opportunities for memory optimization.

What's included

8 readings

Instructors

Starweaver
Coursera
483 Courses917,500 learners

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