/ Algolit / Data workers podcast EN

  Name Last modified Size Duration Description

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

  36 files (original: ↵) 2019-06-03 17:37:20 73.9 MB