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Large Scale Machine Learning Course

What will I learn?

Get proper knowledge on how to do machine learning with big data. This course is made for people who work with technology. You will learn how to measure how good your machine learning model is working. You will also learn how to make your models work faster and better. We will use computer programs like Dask and Apache Spark to help us handle big data. You will understand how to work with very big datasets and make machine learning models that can handle a lot of information. You will also learn how to write good reports and explain what you have found out in a way that everyone can understand. Join us so you can become an expert and be one of the best in the technology world.

Apoia's Unique Features

Online courses available for life
Certificate aligned with educational standards
Printable PDF summaries
24/7 online support
Select and arrange the chapters you want to study
Set your own course schedule
Instant feedback on practical activities
Study at your convenience, no internet needed

Develop skills

Enhance the practical skills listed below

Check how well your model is working: Learn how to measure how fast your model learns and makes predictions.

Make your models better: Learn how to make your models smaller, load data faster, and find the best settings for your model.

Use distributed computing: Learn how to use Dask and Apache Spark to handle very big datasets.

Manage big datasets: Understand what big datasets are like, what problems they have, and how to divide them up.

Write good reports: Explain what you have found out and how you solved problems clearly.

Suggested summary

Workload: between 4 and 360 hours

Before beginning, feel free to 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 akin to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.