Παρακολούθηση
Sebastian Raschka
Sebastian Raschka
AI Research Engineer, Formerly Asst. Professor of Statistics, University of Wisconsin-Madison
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα wisc.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Python Machine Learning, 3rd Edition
S Raschka, V Mirjalili
Packt Publishing Ltd., 2019
3778*2019
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
S Raschka
arXiv preprint arXiv:1811.12808, 2018
14442018
Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence
S Raschka, J Patterson, C Nolet
Information 11 (4), 193, 2020
7812020
MLxtend: Providing machine learning and data science utilities and extensions to Python’s scientific computing stack
S Raschka
Journal of open source software 3 (24), 638, 2018
7552018
Rank consistent ordinal regression for neural networks with application to age estimation
W Cao, V Mirjalili, S Raschka
Pattern Recognition Letters 140, 325-331, 2020
3152020
Naive Bayes and Text Classification I - Introduction and Theory
S Raschka
arXiv preprint arXiv:1410.5329, 2014
2962014
Python Machine Learning
S Raschka
Packt Publishing, 2015
239*2015
Machine Learning with PyTorch and Scikit-Learn
S Raschka, YH Liu, V Mirjalili
Packt Publishing Ltd., 2022
2272022
Model evaluation, model selection, and algorithm selection in machine learning. arXiv 2018
S Raschka
arXiv preprint arXiv:1811.12808, 1811
2041811
Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images
V Mirjalili, S Raschka, A Namboodiri, AR Ross
11th IAPR International Conference on Biometrics (ICB 2018), 2018
1342018
An Overview of General Performance Metrics of Binary Classifier Systems
S Raschka
arXiv preprint arXiv:1410.5330, 2014
1322014
PrivacyNet: Semi-adversarial networks for multi-attribute face privacy
V Mirjalili, S Raschka, A Ross
IEEE Transactions on Image Processing 29, 9400-9412, 2020
1172020
About feature scaling and normalization
S Raschka
Sebastian Raschka. Disques, nd Web. Dec, 2014
108*2014
Linear Discriminant Analysis bit by bit
S Raschka
Blog, August, 2014
92*2014
Pdf Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, by
S Raschka
872017
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
S Raschka, B Kaufman
Methods 180, 89-110, 2020
832020
Machine Learning mit Python und Scikit-learn und TensorFlow: das umfassende Praxis-Handbuch für Data Science, Deep Learning und Predictive Analytics
S Raschka, V Mirjalili, K Lorenzen
mitp, 2018
73*2018
BioPandas: Working with molecular structures in pandas DataFrames
S Raschka
The Journal of Open Source Software 2 (14), 2017
692017
Protein–ligand interfaces are polarized: discovery of a strong trend for intermolecular hydrogen bonds to favor donors on the protein side with implications for predicting and …
S Raschka, AJ Wolf, J Bemister-Buffington, LA Kuhn
Journal of computer-aided molecular design 32, 511-528, 2018
632018
Python machine learning
V Mirjalili, S Raschka
Marcombo, 2020
562020
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