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Mathematics For Machine Learning Course

Mathematics For Machine Learning Course
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. You'll learn to explore data properly, getting good at finding odd things (outliers) and dealing with missing information. You'll also learn how to prepare data, including making sure everything is on the same scale (normalization) and dealing with outliers, so your models work better. We'll look at machine learning ways for dealing with data that changes over time (time series), like decision trees and ARIMA. You'll become skilled at creating new features from your data, making your models better, and checking how well your models are working. This course will give you real, useful skills that you can use in the real world.

Elevify advantages

Develop skills

  • Become good at data structures: Understand and explain complicated data sets well.
  • Find outliers: Spot unusual things in the data to make sure it's correct and reliable.
  • Use time series models: Use ARIMA and LSTM to make good guesses about the future.
  • Make algorithms better: Use gradient descent to train your models quickly.
  • Create features: Make new polynomial features to make your models work 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.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor of the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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