Module 4 - Machine Learning for Product Managers

Machine Learning for Product Managers — [4/6]

We have started an online course to educate Product Managers/ Business Managers about Machine learning.

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What will you learn in this course?

In this course, we will tell you how to turn the business need into a machine learning problem, and then make a prototype out of it. If that performs well then how to deploy and productionise it.

This course is divided into 6 modules.

  1. In the first module, we will see, see the introduction to machine learning
  2. In the second module, we will see when to say yes or no to machine learning. Machine learning is very mainstream nowadays so it is very important for a manager to know when to say yes and when to say no.
  3. In the third module, we will see how to use machine learning weapons.
  4. In the fourth module, we will see how to prepare the training data for machine learning, that’s the first step in developing any machine learning model.
  5. From there we will move on to our fifth module where we will learn how to build the machine learning model
  6. Finally, in our last module, we will see how to deploy the model.

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Module 4— Data Pipeline in Machine Learning

In this module, we will learn the following topic

  1. How do you prepare Data for Machine Learning?
  2. How do we source the correct data for Machine learning modelling?
  3. What does it mean by data preprocessing and how do we do it?
  4. What is a data pipeline and how do we build it?
  5. Where do we need data in Machine Learning?
  6. What data should I get to train my ML Model?
  7. From Where can we get the required data for our model?
  8. After getting data, how do you clean it?
  9. After cleaning, how do you make it ready for modelling?
  10. What does the data lifecycle look like in an ML project?


 

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