Large Scale Machine Learning Course
What will I learn?
Chop all the important things about big data machine learning for tech people. We go inside performance evaluation metrics, learn how to make models better, and use distributed computing tools like Dask and Apache Spark. You go understand how to handle plenty data and build machine learning models wey fit scale. You go sharpen your skills for writing reports and keeping records, so you fit explain your findings well. Join we so you fit improve your knowledge and stay on top for the tech world.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Check performance: Master how long training and prediction dey take for efficiency.
Make models better: Learn how to compress data, load data well, and tune hyperparameters.
Use distributed computing: Use Dask and Apache Spark make your work fit scale well.
Manage plenty data: Understand the characteristics, challenges, and how to split the data.
Keep proper records: Summarize findings and report solutions make e clear.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and workload.
- Select which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You can generate additional chapters like the examples below
This is a free course, aimed at 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.