Machine Learning, Neural and Statistical Classification

In this book, you will learn all about machine learning which is a subset of AI, neural networks, and statistical classification. So, as we know, machine learning is an integral part of our life now, so the book covers every important topic relating to machine learning, neural networks, and statistical classification, which are equally interesting topics.

By the end of this book, we will know every important aspect of the topic in an interesting well-defined manner. There are explanatory diagrams, bar graphs, and tables throughout the book to provide a pictorial memory and emphasize the written material.

So in this book, we will start by introducing all main topics and related terms like Data Science, Machine learning, Data mining, neural networks, and statistical classification, starting with classification in machine learning, as machine learning is crucial. After that, we will learn about classical and modern statistical techniques and methods. Then will discuss the decision tree and its rules used in machine learning.

The book also covers neural networks along with methods of comparison and empirical comparison. Being done with that, we will move on to descriptive statistics and knowledge representation. And to end this book, you will learn about control dynamic systems and algorithms in data mining.

So I hope you will enjoy reading this book and gain some very useful knowledge.