fly51fly 分享的百度云盘资源

fly51fly分享的百度云盘资源

• PyCon Montreal 2015 tutorials - Hands-on way to learn Data Science in Python.pdf

  2021-03-12 04:23:49  2786558  

• Ben Hamner - Winning Machine Learning Competitions With Scikit-Learn - PyCon 2015-gDbaCIE0mrA.mp4

  2021-03-12 03:23:11  580086005  

• Five most popular similarity measures implementation in python _ dataaspirant.pdf

  2021-03-11 18:30:08  907600  

• Xavier Amatriain's answer to How does Quora use machine learning in 2015_ - Quora.pdf

  2021-03-11 12:19:56  1164766  

• Search Result Diversification.pdf

  2021-03-11 09:13:13  897631  

• S5818-Keynote-Andrew-Ng.pdf

  2021-03-11 06:28:16  18809037  

• Sparse Linear Models.pdf

  2021-03-07 08:09:33  8991081  

• Bootstrapping Machine Learning.pdf

  2021-03-07 07:55:37  3739573  

• Bayesian Networks with R and Hadoop

  2021-03-07 02:32:26  目录  

• glove

  2021-03-06 09:55:32  目录  

• Tal's EMNLP highlights.pdf

  2021-03-05 05:48:30  97953  

• Probabilistic Graphical Models with Justin Domke (Screencast Version)-z3raBFHFVKk.mp4

  2021-03-04 21:56:35  351514064  

• Very Deep Convolutional Networks for Large-Scale Image Recognition.pdf

  2021-03-04 18:38:02  577519  

• Replicable Evaluation of Recommender Systems.pdf

  2021-03-04 16:55:34  4790337  

• Optimizing RNN performance - Part I Investigating performance of GPU BLAS Libraries.pdf

  2021-02-12 04:35:21  2115045  

• deep_karaoke_code_1.0beta.zip

  2021-02-12 03:14:26  14725  

• KNIME _ Seven Techniques for Data Dimensionality Reduction.pdf

  2021-02-10 05:55:12  271059  

• Machine learning APIs_ which performs best_ — Louis Dorard.pdf

  2021-02-10 04:56:05  336397  

• To the point_ 7 reasons you should use dot graphs _ Maarten Lambrechts.pdf

  2021-02-10 03:30:58  1409062  

• Introduction to Deep Learning

  2021-02-09 21:12:05  目录  

• Explore Your Data - The Fundamentals of Network Analysis.mp3

  2021-02-09 21:11:20  41050595  

• Tweet Sentiment, Sentiment Trend, and a Comparison with Financial Trend Indicators.pdf

  2021-02-09 14:18:10  1222436  

• MIT_OCW_18_06_Linear_algebra

  2021-02-09 12:07:13  目录  

• Venkatatesh Ramanathan, PayPal- Fraud Detection with H2O Deep Learning

  2021-02-07 16:36:57  目录  

• The Quest For Artificial Intelligence.pdf

  2021-01-22 05:08:21  16059747  

• Zero shot learning through cross-modal transfer.pdf

  2021-01-22 00:13:27  3125583  

• Deep Learning - A Quick Overview.pdf

  2021-01-21 09:02:35  2575640  

• The Ultimate Growth Hacking Sourcebook ___ Tiger Tiger.pdf

  2021-01-09 21:26:37  1162286  

• gpa15.zip

  2021-01-08 07:19:29  32010511  

• collaborative filtering recommendation engine implementation in python _ dataaspirant.pdf

  2021-01-08 06:23:30  3446117  

• Topic_models_past_present_and_future.mp3

  2021-01-08 03:29:52  90120509  

• Setting up Apache Spark on AWS - Simba Technologies.pdf

  2021-01-05 04:30:16  938425  

• DeepStereo - Learning to Predict New Views from the Worlds Imagery-cizgVZ8rjKA.mp4

  2021-01-04 15:10:44  10422244  

• stupid_solution.py

  2020-12-31 05:11:17  4263  

• An Introduction to Statistical Learning with Applications in R, 4ed.pdf

  2020-12-31 03:13:25  8990464  

• Learning a Deep Convolutional Network for Image Super-Resolution

  2020-12-31 01:39:16  目录  

• Neural Slime Volleyball.pdf

  2020-12-27 18:11:47  672422  

• Neural Networks, Manifolds, and Topology -- colah's blog.pdf

  2020-12-25 14:00:02  1786472  

• Reinforcement Learning course by DeeMind's David Silver

  2020-12-25 07:27:46  目录  

• Data science in Python - pandas, seaborn, scikit-learn-3ZWuPVWq7p4.mp4

  2020-12-25 03:20:18  137273261  

• Miguel Fernando Cabrera - Processing Hotel Reviews with Python-eIEsdluhoxY.mp4

  2020-12-24 07:22:20  88560937  

• An Introduction To Visualizing Data.pdf

  2020-12-22 05:00:09  1261562  

• Tuning Random Forest model _ Machine Learning _ Predictive modeling.pdf

  2020-12-20 14:37:01  931781  

• DataBucket_ Classifying Types of Players on the PGA Tour with Clustering Methods.pdf

  2020-12-20 12:12:07  496942  

• Adaptive learning rate methods

  2020-12-20 09:25:32  目录  

• A collection of links for streaming algorithms and data structures.pdf

  2020-12-20 05:37:31  100240  

• Data visualization with Seaborn - O'Reilly Media.pdf

  2020-12-20 05:16:59  460285  

• Supervised learning superstitions cheat sheet.pdf

  2020-12-20 04:35:36  4445251  

• The emperor's new clothes_ distributed machine learning - FastML.pdf

  2020-12-19 12:38:45  457102  

• cs229-notes12.pdf

  2020-12-18 14:46:27  170639