Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for...
- 123 книги
Подборка по AI
Stepan Pribytkov123 книги
Stepan PribytkovПодборка по AI
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these,
developing methods that can automatically de...
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this techno...
Apply effective learning algorithms to real-world problems using scikit-learn. Design and troubleshoot machine learning systems for common tasks including regression, clas...
Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python.
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, p...
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven method...
Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer pr...
Graph-Powered Machine Learning teaches you how to exploit the natural relationships in structured and unstructured datasets using graph-oriented machine learning algorithm...
Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it rel...
Most machine learning systems that are deployed in the world today learn from human feedback. However, most machine learning courses focus almost exclusively on the algori...
Who This Book Is For
This book is for anyone who wants to leverage ML to solve real-world problems. ML in this book refers to both deep learning and classical algorithm...
