Machine learning is a popular topic in data analysis and modeling. Many different machine
learning algorithms have been developed and implemented in a variety of programming …

Use scikit-learn to apply machine learning to real-world problems About This Book Master
popular machine learning models including k-nearest neighbors, random forests, logistic …

An Introduction to Statistical Learning provides an accessible overview of the field of
statistical learning, an essential toolset for making sense of the vast and complex data sets …

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of
machine learning algorithms Key Features Explore statistics and complex mathematics for …

Machine learning is a pervasive development at the intersection of statistics and computer
science. While it can benefit many data-related applications, the technical nature of the …

Scikit-learn is a Python library that provides a standard interface for implementing machine
learning algorithms. It includes other ancillary functions that are integral to the machine …

Statistical learning refers to a set of tools for making sense of complex datasets. In recent
years, we have seen a staggering increase in the scale and scope of data collection across …

Data is the new oil and Machine Learning is a powerful concept and framework for making
the best out of it. In this age of automation and intelligent systems, it is hardly a surprise that …

Statistics is a pillar of machine learning. You cannot develop a deep understanding and
application of machine learning without it. Cut through the equations, Greek letters, and …

Your one-stop guide to becoming a Machine Learning expert. About This Book Learn to
develop efficient and intelligent applications by leveraging the power of Machine Learning A …