Skip to main content
Not sure where to start? Take a short quiz to get personalized recommendations.
Looking ahead to ML-powered journalism
Hands-on Machine Learning
What is Machine Learning
Google Cloud AutoML Vision
Data preparation
Evaluate and Test
0% complete
5 minutes to complete

Looking ahead to ML-powered journalism

Hands-on Machine Learning Course Image
A step-by-step summary and where to learn more
Hands-on Machine Learning Course Image

Summary of the training steps

Let's recap all the steps involved in training a machine learning model:


Reflect on your use case and consider whether ML can be (part of) the solution to the problem you are trying to solve.

Source the data you need and take every possible step to minimise the potential impact of biases in the data.

Clean and prepare the data so that it contains the right balance of information the model needs to learn from.

Choose the algorithm that is best suited to meet the goals of your use case and the features of your training data.

Upload the dataset you prepared to the algorithm of your choice and wait for it to learn.

Congratulations! You've just finished Looking ahead to ML-powered journalism in progress
Recommended for you
  • GO801_GNI_AdvancedReverseImageSearch_TitleCard.jpg

    Verification: Advanced Reverse Image Search

    lesson 5 minutes Beginner
    How to separate genuine eyewitness accounts from misattributed content.
  • YouTube

    Keep visitors engaged with video on YouTube

    lesson 5 minutes Beginner
    Build your relationship with billions of YouTube viewers
  • image47_1.png

    Protect your election coverage

    lesson 5 minutes Beginner
    In this module, we will look at tools to protect and secure your election coverage