In the following chapters we treat the actual core of this book: The Machine Learning Algorithms.
In the following chapters we treat the actual core of this book: The Machine Learning Algorithms.
We will see that there are several different methods for different applications. For each algorithm explained, there is a jupyter notebook which, gives an example how this method is used and how you can use it yourself in python with the Keras and Tensorflow libraries.
The models itself are separated into two different classes. First we will look at the mathematical models which are mostly used for classification and regression and function on a statistical method.
Second we will introduce neural networks which are models based on the human brain to solve a given problem. Neural networks and deep learning are probably one of the most exiting fields of computer science in out time.