[외서]
Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
[ Paperback, POD 주문제작도서 ]
White, Ryan T. / Ray, Archana Tikayat
Packt Publishing
[외서]
Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
[ Paperback ]
[외서]
Fundamentals of Machine Learning for Predictive Data Analytics, Second Edition: Algorithms, Worked Examples, and Case Studies
[ Hardcover, 2nd edition ]
Kelleher, John D. / Mac Namee, Brian / D'Arcy, Aoife
MIT Press
[외서]
Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with
[ Paperback, 2nd Edition ]
[직수입양서]
Azure Machine Learning Studio for The Non-Data Scientist: Learn how to create experiments, operationalize them using Excel and Angular .Net Core appli
[ Paperback ]
Washington, Michael
Createspace Independent Publishing Platform
[직수입양서]
R Recipes for Analysis, Visualization and Machine Learning: Recipes for Analysis, Visualization and Machine Learning: Explore recipes to build project
[ Paperback, POD 주문제작도서 ]