What is this book about? Supervised machine learning is used in a wide range of sectors (such as finance, online advertising, and analytics) because it allows you to train your system to make pricing ...

Explain what decision tree is & how it splits nodes. This week, we will build our supervised machine learning foundation. Data cleaning and Exploratory Data Analysis (EDA) might not seem glamorous, ...

This week, we will build our supervised machine learning foundation. Data cleaning and Exploratory Data Analysis (EDA) might not seem glamorous, but the process is vital for guiding your real-world ...

This book is an introduction to machine learning ... There is a focus on well-known supervised machine learning algorithms, detailing the existing theory to provide some theoretical guarantees, ...

Book Abstract: Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data.

then this book is for you. This is a practical guide to both supervised and unsupervised learning with plenty of examples in code. The main focus is on imperfect data and how to make sense of these ...

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw ...