Final Remarks

Congratulations! You have successfully completed the “Fundamentals of Machine Learning” module.

Summary

In this module, we covered the core components of machine learning. The module started with a brief introduction to machine learning, followed by a comparison between programming and machine learning. We covered the processes involved in creating learning programs. We also covered the limitations of linear regression and discussed improvements in training algorithms. Finally, we learned how to modify binary classifiers to build multi-class classifiers. Ultimately, we learned to train models for prediction, select the best model for a specific task, and make informed decisions.

What’s next?

Now that we are familiar with the basic applications and techniques, we will cover a more advanced branch of machine learning in the next module, “Deep Learning / Neural Networks.”