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.
Subscribe to our Youtube Channel — Technomanagers
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.
- In the first module, we will see, see the introduction to machine learning
- 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.
- In the third module, we will see how to use machine learning weapons.
- 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.
- From there we will move on to our fifth module where we will learn how to build the machine learning model
- Finally, in our last module, we will see how to deploy the model.
Module 4— Data Pipeline in Machine Learning
In this module, we will learn the following topic
- How do you prepare Data for Machine Learning?
- How do we source the correct data for Machine learning modelling?
- What does it mean by data preprocessing and how do we do it?
- What is a data pipeline and how do we build it?
- Where do we need data in Machine Learning?
- What data should I get to train my ML Model?
- From Where can we get the required data for our model?
- After getting data, how do you clean it?
- After cleaning, how do you make it ready for modelling?
- What does the data lifecycle look like in an ML project?
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