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Mathematics For Machine Learning Course

Mathematics For Machine Learning Course
from 4 to 360h flexible workload
certificate recognized by the MEC

What will I learn?

Hone your Business Intelligence skills with our Mathematics for Machine Learning Course. Delve into data exploration, mastering techniques to spot outliers and deal with missing values. Learn data preprocessing, including normalisation and outlier treatment, to boost model accuracy. Explore machine learning algorithms for time series data, such as decision trees and ARIMA. Gain expertise in feature engineering, optimisation techniques, and model evaluation. This course gives you practical, top-notch skills for real-world applications.

Elevify advantages

Develop skills

  • Master data structures: Analyse and interpret complex data sets effectively.
  • Spot outliers: Identify anomalies to enhance data accuracy and reliability.
  • Apply time series models: Use ARIMA and LSTM for precise forecasting.
  • Optimise algorithms: Implement gradient descent for efficient model training.
  • Engineer features: Create polynomial features to improve model performance.

Suggested summary

Before starting, you can change the chapters and the 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 Prison System Intelligence Advisor and the course from Elevify was crucial in my selection.
EmersonPolice Investigator
The course was essential in meeting my boss's and the company's expectations.
SilviaNurse
Very excellent course. Lots of valuable information.
WiltonCivil Firefighter

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