Large Scale Machine Learning Course
What will I learn?
Master the essentials of large-scale machine learning with our comprehensive course designed for technology professionals. Dive 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 Differentials
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: Utilize 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.