Free course
US$0.00
Premium course
US$30.90
Mathematics For Machine Learning Course
Improve your Business Intelligence skills with our Mathematics for Machine Learning Course. Get stuck in to exploring data, getting good at ways to find things that don't fit in and deal with missing bits of info. Learn how to get data ready, including making it normal and sorting out things that don't fit, to make your models work better. Check out machine learning ways for time-based stuff, like decision trees and ARIMA. Get good at making features, making things work their best, and checking how good your models are. This course gives you real, top-notch skills you can use in the real world.
- Get good with data structures: Look at and understand tricky data sets well.
- Find things that don't fit: Spot things that are odd to make your data more correct and reliable.
- Use time-based models: Use ARIMA and LSTM to guess what will happen accurately.
- Make algorithms work their best: Use gradient descent to train models efficiently.
- Make features: Create polynomial features to make your models work even better.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your Business Intelligence skills with our Mathematics for Machine Learning Course. Get stuck in to exploring data, getting good at ways to find things that don't fit in and deal with missing bits of info. Learn how to get data ready, including making it normal and sorting out things that don't fit, to make your models work better. Check out machine learning ways for time-based stuff, like decision trees and ARIMA. Get good at making features, making things work their best, and checking how good your models are. This course gives you real, top-notch skills you can use in the real world.
Elevify advantages
Develop skills
- Get good with data structures: Look at and understand tricky data sets well.
- Find things that don't fit: Spot things that are odd to make your data more correct and reliable.
- Use time-based models: Use ARIMA and LSTM to guess what will happen accurately.
- Make algorithms work their best: Use gradient descent to train models efficiently.
- Make features: Create polynomial features to make your models work even better.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course