Vendor
	Hanser Fachbuch Gabriele Josiger
Original language
German
Categories
Machine learning
Weblink
https://www.hanser-fachbuch.de/b …

Machine Learning

Jörg Frochte

Fundamentals and Algorithms in Python

This algorithmic introduction describes machine learning in their application and transfer in Python. Only basic math knowledge is required for comprehension as it is taught in grad school classes for computer or engineering science. From the contents: Introduction to Machine Learning, Python Introduction, Statis-tic Fundamentals, Linear Models and Lazy Learning, Support Vector Machines, Feedforward Networks, Feature Reduction, Unsupervised Learning, Reinforced Learning, Ensemble Learning.

Practical Applications of Machine Learning:

Speech and Face Recognition Software

Self-Driving Cars

Smart-Robots

Autocompletion of Word Processors

Antispam Software

Personalized Advertisement on Websites

Knowledge of object-oriented programming and basic knowledge of university mathematics are required. The necessary mathematics is presented embedded in the book and the theory is directly converted into Python code.

The book is ideal for students of computer science, mechatronics, electrical engineering and applied statistics/data science as well as for engineers and computer scientists in practice

Available products
Book Published 2019-01-01 by Hanser , ISBN: 9783446459960 Main content page count: 406 Pages ISBN: 9783446459960

Available products

Book

Published 2019-01-01 by Hanser , ISBN: 9783446459960

Main content page count: 406 Pages

ISBN: 9783446459960