Python Machine Learning

Lee, Wei-Meng

ISBN 10: 1119545633 / ISBN 13: 9781119545637

Edité par Wiley, 2019

A propos de cet article

May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.9. N° de réf. du vendeur G1119545633I4N00

Détails bibliographiques

Titre : Python Machine Learning

Éditeur : Wiley

Date d'édition : 2019

Reliure : Paperback

Etat : Very Good

Etat de la jaquette : No Jacket

A propos de ce titre

Synopsis :

Python makes machine learning easy for beginners and experienced developers

With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart--it requires a good foundation in statistics, as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today.

Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand.

• Python data science--manipulating data and data visualization
• Data cleansing
• Understanding Machine learning algorithms
• Supervised learning algorithms
• Unsupervised learning algorithms
• Deploying machine learning models

Python Machine Learning is essential reading for students, developers, or anyone with a keen interest in taking their coding skills to the next level.

À propos de l?auteur:

Wei-Meng Lee is a technologist and founder of Developer Learning Solutions (http: //www.learn2develop.net), a technology company specializing in hands-on training on the latest mobile technologies. Wei-Meng has many years of training experiences and his training courses place special emphasis on the learning-by-doing approach. His hands-on approach to learning programming makes understanding the subject much easier than reading books, tutorials, and documentations. His name regularly appears in online and print publications such as DevX.com, MobiForge.com, and CoDe Magazine.