View Project

Title:

test

Abstract:

test

Comments:

test

Actions

Login to edit or delete this resource.

Suggested Topics (up to Top 50)

Suggested Resources

Uses abstract to search the content of resources available in Topics. Sorted by relevance.

# Title Author Topic Medium Score
1 Bertrand and Russell Ben King 1121
2 How to Calculate McNemar’s Test to Compare Two Machine Learning Classifiers Jason Brownlee 1181
3 Evaluation Methods Sebastian Raschka 1164
4 Evaluation Dan Roth 1143
5 Statistical Tests\\\When to use Which ? vibhor nigam 1555
6 LSTMs for Human Activity Recognition Guillaume Chevalier 1191
7 How to Code the Student’s t-Test from Scratch in Python Jason Brownlee 9999
8 How To Implement Baseline Machine Learning Algorithms From Scratch With Python Jason Brownlee 1559
9 Python for Data Analysis Part 24: Hypothesis Testing and the T-Test Greg Hamel 1555
10 How to Generate Test Datasets in Python with scikit-learn Jason Brownlee 131
11 The Confusion Matrix in statistical tests Eli Bendersky 1151
12 Introduction to Bayesian Thinking: from Bayes Theorem to Bayes Networks Felipe Sanchez 1314
13 Cross-validation for detecting and preventing overfitting Andrew W. Moore 1559
14 Evaluation Methods Sebastian Raschka 1164
15 Unfolding Naïve Bayes from Scratch ! Aisha Javed 1060
16 Intro to Data Science Part 3: Data Analysis Tiffany Souterre 1151
17 Architecture choice and training protocol François Fleuret 1047
18 Multi Label Text Classification with Scikit-Learn Susan Li 1162
19 Multi Label Text Classification with Scikit-Learn Susan Li 1162
20 Proper evaluation protocols François Fleuret 9999
21 Information Retrieval 8 David Smith 1042
22 How To Implement Naive Bayes From Scratch in Python Jason Brownlee 1153
23 Features and hypothesis tests David Bamman 1163
24 Text Generation Using Recurrent Neural Networks – Towards Data Science None
25 Train and Test Set in Python Machine Learning — How to Split None
26 Minibatch Metropolis-Hastings Daniel Seita 1559
27 Test Collection Based Evaluation of Information Retrieval Systems Mark Sanderson 1171
28 403 Forbidden None
29 Multivariate Time Series Forecasting with LSTMs in Keras Jason Browniee 1190
30 Split and Rephrase Shashi Narayan, Claire Gardent, Shay B. Cohen and Anastasia Shimorina 1134
31 Cornell Natural Language Visual Reasoning (NLVR) Alane Suhr, Mike Lewis, James Yeh, and Yoav Artzi 999
32 A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, ... 9999
33 A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, ... 9999
34 A Gentle Introduction to Calculating the BLEU Score for Text in Python Jason Brownlee 456
35 Data Preprocessing and Machine Learning with Scikit-Learn Sebastian Raschka 1073
36 Prepositional Phrase Attachment 3 Dragomir Radev 1537
37 Prepositional Phrase Attachment 3 Dragomir Radev 1537
38 Story Cloze Test and ROCStories Corpora Author Unknown 1324
39 dimensionality reduction technique -tsne vs. PCA Zenodia Charpy 1116
40 Nuts and bolts of building AI applications using Deep Learning Andrew Ng 1300
41 Model evaluation, model selection, and algorithm selection in machine learning Sebastian Raschka 1559
42 Evaluation Methods Sebastian Raschka 1164
43 Machine Learning with scikitlearn Sebastian Raschka, Andreas Mueller 1066
44 Using Word Vectors in Multi-Class Text Classification Abhijit Mondal 1162
45 Tutorial on Universal Dependencies: CoNLL shared task on UD parsing Joakim Nivre, Daniel Zeman, Filip Ginter, Francis M. Tyers 1284
46 LF-LDA and LF-DMM: Improving Topic Models with Word Embeddings Dat Quoc Nguyen, Richard Billingsley, Lan Du and Mark Johnson 1186
47 Comprehension Based LanguageÿModeling David McAllester 1081
48 Spider: Yale Semantic Parsing and Text-to-SQL Challenge None
49 How to Unit Test Machine Learning Code Chase Roberts 1189
50 An Introduction to Machine Learning in Python Sebastian Raschka 1066