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Large Scale Machine Learning Course

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What will I learn?

Master the essentials of large-scale machine learning with our comprehensive course designed for technology professionals. Get stuck into performance evaluation metrics, explore model optimisation techniques, and harness distributed computing frameworks like Dask and Apache Spark. Understand the intricacies of handling large datasets and develop scalable machine learning models. Enhance your skills in documentation and reporting, ensuring you can effectively communicate your findings. Join us to elevate your expertise and stay ahead in the tech industry.

Apoia's Advantages

Online and lifetime access to courses
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you'd like to study
Set your own course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Strengthen the development of the practical skills listed below

Evaluate performance: Master training and prediction time metrics for efficiency.

Optimise models: Learn compression, data loading, and hyperparameter tuning.

Harness distributed computing: Utilise Dask and Apache Spark for scalability.

Manage large datasets: Understand characteristics, challenges, and partitioning.

Document effectively: Summarise findings and report solutions with clarity.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change the chapters and the workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.