|
Albon, Chris (2018)
|
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning.
O'Reilly |
978-1-4919-8938-8 |
| Bengfort, Benjamin; Ojeada, Tony, Bilbro, Rebecca (2018) |
Applied Text Analysis with Python |
978-1491963036 |
|
Bishop, Christopher (2008)
|
Pattern Recognition and Machine Learning. Springer Verlag |
978-0-3873-1073-2 |
|
Flach, Peter (2012)
|
Machine Learning: The Art and Science of Algorithms that Make
Sense of Data. Cambridge University Press |
978-1-107-42222-3 |
| Ganegedara, Thushan (2018) |
Natural Language Processing with TensorFlow, Packt. |
978-1-78847831-1
|
|
Géron, Aurélien (2017)
|
Hands-On Machine Learning with Scikit-Learn and TensorFlow:
Concepts, Tools, and Techniques to Build Intelligent Systems.
O'Reilly Media |
978-1-491-96229-9 |
|
Goodfellow Ian; Bengio Yoshua and Courville, Aaron (2016)
|
Deep Learning
|
978-0-262-03561-3
|
| Ingersoll & alia (2013) |
Taming Text: How to Find, Organize, and Manipulate It |
978-1933988382 |
| Koehn, Philipp (2010) |
Statistical Machine Translation |
978-0521874151 |
| Lunde (2019) |
CJKV Information Processing: Chinese, Japanese, Korean & Vietnamese Computing |
978-0596514471 |
| Manning & Schütze (1999) |
Foundations of Statistical Natural Language Processing |
978-0262133609 |
|
Raschka, Sebastian (2015)
|
Python Machine Learning, Packt Open Source
|
978-1-78355-513-0 |
|
Witten, Ian H.; Eibe Frank (2011)
|
Data Mining: Practical machine learning tools and techniques
Morgan Kaufmann
|
978-0-12-374856-0
|
| Various |
Coli MIT |
Periodical |
