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Mathematics For Machine Learning Course
Improve your Business Intelligence skills with our Mathematics for Machine Learning Training. You go learn how to explore data well-well, and how to use different ways to find things that are not correct (outliers) and to deal with data that is missing. You go learn how to prepare data, like making it normal and fixing those outliers, so your machine learning models can work better. We go look at machine learning ways for time series data, like decision trees and ARIMA. You go become expert in making new features for your data, learning how to make things work best, and how to check if your model is doing a good job. This training will give you the real skills you need to use this knowledge in real life, properly-properly.
- Know data structures well: You go sabi how to look at and understand big data sets properly.
- Find outliers: You go fit find things that are strange or wrong in the data so the data can be correct and trusted.
- Use time series models: You go sabi how to use ARIMA and LSTM to predict things accurately.
- Make algorithms work best: You go sabi how to use gradient descent to make the model learn fast and well.
- Engineer features: You go sabi how to make new features from your data to make the model work 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 Training. You go learn how to explore data well-well, and how to use different ways to find things that are not correct (outliers) and to deal with data that is missing. You go learn how to prepare data, like making it normal and fixing those outliers, so your machine learning models can work better. We go look at machine learning ways for time series data, like decision trees and ARIMA. You go become expert in making new features for your data, learning how to make things work best, and how to check if your model is doing a good job. This training will give you the real skills you need to use this knowledge in real life, properly-properly.
Elevify advantages
Develop skills
- Know data structures well: You go sabi how to look at and understand big data sets properly.
- Find outliers: You go fit find things that are strange or wrong in the data so the data can be correct and trusted.
- Use time series models: You go sabi how to use ARIMA and LSTM to predict things accurately.
- Make algorithms work best: You go sabi how to use gradient descent to make the model learn fast and well.
- Engineer features: You go sabi how to make new features from your data to make the model work better.
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.What our students say
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