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I_-_01._Why_contextual_stories.mp3
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2019-06-03 17:37:20 |
1.3 MB |
01:18 |
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I_-_02._We_create_algoliterary_works.mp3
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2019-06-03 17:37:20 |
1.7 MB |
01:44 |
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I_-_03._What_is_literature.mp3
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2019-06-03 17:37:18 |
1.3 MB |
01:21 |
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I_-_04._An_important_difference.mp3
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2019-06-03 17:37:16 |
1.3 MB |
01:22 |
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II_-_00._WRITERS.mp3
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2019-06-03 17:37:16 |
1.7 MB |
01:48 |
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II_-_01._Programmers_are_writing_data_workers_into_being.mp3
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2019-06-03 17:37:13 |
1.7 MB |
01:45 |
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II_-_02._Cortana_speaks.mp3
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2019-06-03 17:37:14 |
2.7 MB |
02:49 |
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II_-_03._Open_source_learning.mp3
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2019-06-03 17:37:10 |
1.3 MB |
01:24 |
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II_-_04._Natural_language_for_artificial_intelligence.mp3
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2019-06-03 17:37:09 |
1.9 MB |
01:56 |
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III_-_00._ORACLES.mp3
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2019-06-03 17:37:05 |
1.5 MB |
01:31 |
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III_-_01._Racial_AdSense.mp3
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2019-06-03 17:37:07 |
2.5 MB |
02:36 |
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III_-_02._What_is_a_good_employee.mp3
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2019-06-03 17:37:03 |
1.8 MB |
01:53 |
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III_-_03._Quantifying_100_years_of_gender_and_ethnic_stereotypes.mp3
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2019-06-03 17:37:03 |
4.5 MB |
04:42 |
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III_-_04._Wikimedias_ORES_service.mp3
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2019-06-03 17:36:59 |
2.7 MB |
02:49 |
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III_-_05._Tay.mp3
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2019-06-03 17:36:56 |
1.2 MB |
01:16 |
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IV_-_00._CLEANERS.mp3
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2019-06-03 17:36:54 |
1.6 MB |
01:37 |
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IV_-_01._Project_Gutenberg_and_Distributed_Proofreaders.mp3
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2019-06-03 17:36:54 |
2.0 MB |
02:08 |
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IV_-_02._An_algoliterary_version_of_the_Maintenance_Manifesto.mp3
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2019-06-03 17:36:51 |
3.1 MB |
03:15 |
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IV_-_03._A_bot_panic_at_Amazon_Mechanical_Turk.mp3
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2019-06-03 17:36:51 |
3.0 MB |
03:05 |
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V_-_00._INFORMANTS.mp3
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2019-06-03 17:36:46 |
1.9 MB |
01:57 |
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V_-_01._Dataset_as_representation.mp3
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2019-06-03 17:36:46 |
2.2 MB |
02:18 |
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V_-_02._Labeling_for_an_oracle_that_detects_vandalism_on_Wikipedia.mp3
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2019-06-03 17:36:43 |
2.5 MB |
02:39 |
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V_-_03._How_to_make_your_dataset_known.mp3
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2019-06-03 17:36:41 |
2.2 MB |
02:16 |
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V_-_04._The_ouroboros_of_machine_learning.mp3
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2019-06-03 17:36:39 |
1.4 MB |
01:25 |
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VI_-_00._READERS.mp3
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2019-06-03 17:36:37 |
1.5 MB |
01:35 |
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VI_-_01._Character_n-gram_for_authorship_recognition.mp3
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2019-06-03 17:36:37 |
2.9 MB |
02:59 |
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VI_-_02._A_history_of_n-grams.mp3
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2019-06-03 17:36:34 |
1.5 MB |
01:35 |
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VI_-_03._God_in_Google_Books.mp3
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2019-06-03 17:36:32 |
1.3 MB |
01:24 |
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VI_-_04._Grammatical_features_taken_from_Twitter_influence_the_stock_market.mp3
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2019-06-03 17:36:31 |
1.9 MB |
02:01 |
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VI_-_05._Bag_of_words.mp3
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2019-06-03 17:36:30 |
1.5 MB |
01:35 |
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VII_-_00._LEARNERS.mp3
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2019-06-03 17:36:28 |
1.6 MB |
01:42 |
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VII_-_01._Naive_Bayes_n_Viagra.mp3
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2019-06-03 17:36:26 |
2.1 MB |
02:12 |
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VII_-_02._Naive_Bayes_n_Enigma.mp3
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2019-06-03 17:36:28 |
3.2 MB |
03:21 |
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VII_-_03._A_story_about_sweet_peas.mp3
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2019-06-03 17:36:23 |
2.6 MB |
02:45 |
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VII_-_04._Perceptron.mp3
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2019-06-03 17:36:19 |
2.3 MB |
02:22 |
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VII_-_05._BERT.mp3
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2019-06-03 17:36:21 |
2.5 MB |
02:34 |
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