A supervised learning task infers a function from flagged training data and maps an input to an output based on sample input-output pairs. In this book, you will learn various machine learning techniques (such as linear and logistic regression) and gain the practical knowledge you need to quickly and powerfully apply algorithms to new problems
The book will help you learn deep neural networks and their applications in computer vision, generat...
Engineering schoolThis document describes statistics and machine learning in Python using:• Scikit-l...
This book contains practical implementations of several deep learning projects in multiple domains, ...
Python Machine Learning by Example covers in detail the most important concepts, techniques, algorit...
Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Le...
Machine Learning (ML), is a process of teaching an algorithm to learn. Algorithms try to find patter...
With this book, you will learn how to perform various machine learning tasks in different environmen...
About this course Machine Learning (ML) is a new way to program computers to solve real world probl...
With the ever-increasing demand for machine learning and programming professionals, it's prime time ...
This book will acquaint you with various aspects of statistical analysis in Python. You will work wi...
This book is a modern, concise guide on the field of Machine Learning. It focuses on current ensembl...
Data Science with Python will help you get comfortable with using the Python environment for data sc...
The book adopts a tutorial-based approach to introduce the user to Scikit-learn.If you are a program...
With this book, you will understand the core concepts and techniques of reinforcement learning. You ...
Machine Learning is one of the most debated topic in computer world these days, especially after the...
The book will help you learn deep neural networks and their applications in computer vision, generat...
Engineering schoolThis document describes statistics and machine learning in Python using:• Scikit-l...
This book contains practical implementations of several deep learning projects in multiple domains, ...
Python Machine Learning by Example covers in detail the most important concepts, techniques, algorit...
Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Le...
Machine Learning (ML), is a process of teaching an algorithm to learn. Algorithms try to find patter...
With this book, you will learn how to perform various machine learning tasks in different environmen...
About this course Machine Learning (ML) is a new way to program computers to solve real world probl...
With the ever-increasing demand for machine learning and programming professionals, it's prime time ...
This book will acquaint you with various aspects of statistical analysis in Python. You will work wi...
This book is a modern, concise guide on the field of Machine Learning. It focuses on current ensembl...
Data Science with Python will help you get comfortable with using the Python environment for data sc...
The book adopts a tutorial-based approach to introduce the user to Scikit-learn.If you are a program...
With this book, you will understand the core concepts and techniques of reinforcement learning. You ...
Machine Learning is one of the most debated topic in computer world these days, especially after the...
The book will help you learn deep neural networks and their applications in computer vision, generat...
Engineering schoolThis document describes statistics and machine learning in Python using:• Scikit-l...
This book contains practical implementations of several deep learning projects in multiple domains, ...