Overview of ML algorithms
A large number of ML algorithms have been developed to date, and more are being researched and invented at an accelerated pace by academia and industry alike. This section will review some popular traditional and deep learning algorithms and how these algorithms can be applied to different kinds of ML problems. But first, let's quickly discuss the considerations when choosing an ML algorithm for the task.
Consideration for choosing ML algorithms
There are a number of considerations when it comes to choosing ML algorithms for different tasks:
- Training data size: Some ML algorithms, such as deep learning algorithms, can work very well and produce highly accurate models, but they require large amounts of the training data. Traditional ML algorithms, such as linear models, can work effectively when the dataset is small but cannot take advantage of large datasets as effectively as deep learning neural network algorithms. Traditional ML algorithms...
