Mathematics For Machine Learning Course
What will I learn?
Make your Business Intelligence skills strong with our Mathematics for Machine Learning Lesson. Go deep inside data, learn how to find things dat strange and fix data dat missin'. Learn how to clean up data, like makin' all di numbers look di same and dealin' with di strange things, so your machine learnin' go work good. Learn about machine learnin' ways for lookin' at data over time, like decision trees and ARIMA. Get good at makin' new features from di data, makin' di machine learnin' work faster, and checkin' if di machine learnin' workin' good. Dis lesson go give you di real skills you need for use machine learnin' in di real world.
Apoia's Unique Features
Develop skills
Enhance your practical skills in the areas listed below.
Know data well: Look at big data and understand what e mean.
Find strange things in data: See di things dat no normal, so di data correct and reliable.
Use time series machine learnin': Use ARIMA and LSTM for guessin' what go happen in di future.
Make machine learnin' work fast: Use gradient descent for train di machine learnin' fast.
Make new features: Make new things from di data so di machine learnin' go work better.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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 it offers practical and relevant knowledge for your professional journey.