Summary
In this chapter, we looked into ML using the concept of information transfer. We then looked into how and why it works. We also talked about the idea of sampling from a population to understand the population.
We talked about different categories of ML problems and also discussed some tools needed for ML for the web platform, and we also showed some examples of real-world applications of ML.
The intention of this chapter was to get the whole idea of ML to aid understanding during personal learning.
In the next chapter, we will introduce TensorFlow.js. TensorFlow.js is useful when integrating ML into your web apps.
