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maps/16_temple.map_cache 135.9 MB
maps/12_streets.map_cache 133.5 MB
maps/06_factory.map_cache 104.1 MB
maps/05_church.map_cache 95.9 MB
maps/15_tesla_02.map_cache 83.8 MB
maps/13_pigline.map_cache 77.1 MB
maps/14_tesla_01.map_cache 71.1 MB
maps/02_mansion_02.map_cache 69.6 MB
maps/08_sewers.map_cache 63.7 MB
maps/09_bilge.map_cache 54.7 MB
maps/03_cellar.map_cache 53.5 MB
maps/11_engine_room.map_cache 49.8 MB
maps/07_tunnels.map_cache 47.8 MB
maps/01_mansion_01.map_cache 47.5 MB
maps/10_reactor.map_cache 38.3 MB
maps/04_alley.map_cache 36.8 MB
maps/06_factory.map 10.4 MB
aamfp.exe 8.4 MB
sounds/music/level_transitions/music_transition_09bilge_10reactor.ogg 7.8 MB
sounds/ambience/pigline/amb_pigline_after_flood.ogg 7.5 MB

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【影视】 [GigaCourse.Com] Udemy - Time Series Analysis, Forecasting, and Machine Learning

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04 ARIMA/005 ARIMA in Code.mp4 127.5 MB
12 Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
04 ARIMA/015 Auto ARIMA in Code (Stocks).mp4 110.3 MB
04 ARIMA/014 Auto ARIMA in Code.mp4 108.2 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/007 CNN Architecture.mp4 101.5 MB
08 VIP_ AWS Forecast/005 Code pt 2 (Uploading the data to S3).mp4 95.5 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/005 Activation Functions.mp4 90.7 MB
05 Machine Learning Methods/009 Machine Learning for Time Series Forecasting in Code (pt 1).mp4 90.4 MB
12 Effective Learning Strategies for Machine Learning FAQ/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/002 What is Convolution_.mp4 82.1 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/005 Convolution on Color Images.mp4 77.6 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/008 Feedforward ANN for Time Series Forecasting Code.mp4 74.4 MB
03 Exponential Smoothing and ETS Methods/008 SES Code.mp4 72.9 MB
11 Extra Help With Python Coding for Beginners FAQ/003 Proof that using Jupyter Notebook is the same as not using it.mp4 72.9 MB
05 Machine Learning Methods/002 Supervised Machine Learning_ Classification and Regression.mp4 72.3 MB
02 Time Series Basics/011 Random Walks and the Random Walk Hypothesis.mp4 71.4 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/009 Feedforward ANN for Stock Return and Price Predictions Code.mp4 71.0 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/013 Human Activity Recognition_ Multi-Input ANN.mp4 70.8 MB
04 ARIMA/017 Auto ARIMA in Code (Sales Data).mp4 68.6 MB
05 Machine Learning Methods/008 Extrapolation and Stock Prices.mp4 67.9 MB

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04 ARIMA/005 ARIMA in Code.mp4 127.5 MB
12 Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
04 ARIMA/015 Auto ARIMA in Code (Stocks).mp4 110.3 MB
04 ARIMA/014 Auto ARIMA in Code.mp4 108.2 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/007 CNN Architecture.mp4 101.5 MB
08 VIP_ AWS Forecast/005 Code pt 2 (Uploading the data to S3).mp4 95.5 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/005 Activation Functions.mp4 90.7 MB
05 Machine Learning Methods/009 Machine Learning for Time Series Forecasting in Code (pt 1).mp4 90.4 MB
12 Effective Learning Strategies for Machine Learning FAQ/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/002 What is Convolution_.mp4 82.1 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/005 Convolution on Color Images.mp4 77.6 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/008 Feedforward ANN for Time Series Forecasting Code.mp4 74.4 MB
03 Exponential Smoothing and ETS Methods/008 SES Code.mp4 72.9 MB
11 Extra Help With Python Coding for Beginners FAQ/003 Proof that using Jupyter Notebook is the same as not using it.mp4 72.9 MB
05 Machine Learning Methods/002 Supervised Machine Learning_ Classification and Regression.mp4 72.3 MB
02 Time Series Basics/011 Random Walks and the Random Walk Hypothesis.mp4 71.4 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/009 Feedforward ANN for Stock Return and Price Predictions Code.mp4 71.0 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/013 Human Activity Recognition_ Multi-Input ANN.mp4 70.8 MB
04 ARIMA/017 Auto ARIMA in Code (Sales Data).mp4 68.6 MB
05 Machine Learning Methods/008 Extrapolation and Stock Prices.mp4 67.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Time Series Analysis, Forecasting, and Machine Learning

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04 ARIMA/005 ARIMA in Code.mp4 127.5 MB
12 Effective Learning Strategies for Machine Learning FAQ/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
04 ARIMA/015 Auto ARIMA in Code (Stocks).mp4 110.3 MB
04 ARIMA/014 Auto ARIMA in Code.mp4 108.2 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/007 CNN Architecture.mp4 101.5 MB
08 VIP_ AWS Forecast/005 Code pt 2 (Uploading the data to S3).mp4 95.5 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/005 Activation Functions.mp4 90.7 MB
05 Machine Learning Methods/009 Machine Learning for Time Series Forecasting in Code (pt 1).mp4 90.4 MB
12 Effective Learning Strategies for Machine Learning FAQ/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/002 What is Convolution_.mp4 82.1 MB
07 Deep Learning_ Convolutional Neural Networks (CNN)/005 Convolution on Color Images.mp4 77.6 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/008 Feedforward ANN for Time Series Forecasting Code.mp4 74.4 MB
03 Exponential Smoothing and ETS Methods/008 SES Code.mp4 72.9 MB
11 Extra Help With Python Coding for Beginners FAQ/003 Proof that using Jupyter Notebook is the same as not using it.mp4 72.9 MB
05 Machine Learning Methods/002 Supervised Machine Learning_ Classification and Regression.mp4 72.3 MB
02 Time Series Basics/011 Random Walks and the Random Walk Hypothesis.mp4 71.4 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/009 Feedforward ANN for Stock Return and Price Predictions Code.mp4 71.0 MB
06 Deep Learning_ Artificial Neural Networks (ANN)/013 Human Activity Recognition_ Multi-Input ANN.mp4 70.8 MB
04 ARIMA/017 Auto ARIMA in Code (Sales Data).mp4 68.6 MB
05 Machine Learning Methods/008 Extrapolation and Stock Prices.mp4 67.9 MB

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RARBG.txt 30 Bytes
lubed.17.03.07.piper.perri.hot.tub.fuck.machine.4k.mp4 5.2 GB
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【影视】 [FreeCoursesOnline.io] MANNING - Graph-Powered Machine Learning [Video Edition]

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28-Part 2 Recommendations.mp4 156.1 MB
36-Chapter 5 Collaborative filtering.mp4 103.8 MB
76-Chapter 12 Knowledge graph building - Entities.mp4 98.7 MB
37-Chapter 5 Collaborative filtering recommendations.mp4 97.3 MB
48-Chapter 7 Providing recommendations.mp4 90.1 MB
49-Chapter 7 Providing recommendations.mp4 89.3 MB
61-Chapter 9 Identifying fraudulent transactions.mp4 86.6 MB
09-Chapter 2 Graph data engineering.mp4 86.0 MB
44-Chapter 6 Providing recommendations.mp4 85.3 MB
73-Chapter 11 NLP and graphs.mp4 84.4 MB
16-Chapter 2 Native vs. non-native graph databases.mp4 83.8 MB
63-Chapter 10 Social network analysis against fraud.mp4 83.5 MB
19-Chapter 3 Managing data sources.mp4 81.1 MB
13-Chapter 2 Graphs are valuable for master data management.mp4 79.3 MB
08-Chapter 1 The role of graphs in machine learning.mp4 77.4 MB
35-Chapter 4 Providing recommendations.mp4 76.1 MB
07-Chapter 1 Graphs as models of networks.mp4 74.8 MB
15-Chapter 2 Sharding.mp4 73.9 MB
74-Chapter 11 NLP and graphs.mp4 73.4 MB
02-Chapter 1 Machine learning and graphs - An introduction.mp4 73.1 MB

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~Get Your Files Here !/28-Part 2 Recommendations.mp4 156.1 MB
~Get Your Files Here !/36-Chapter 5 Collaborative filtering.mp4 103.8 MB
~Get Your Files Here !/76-Chapter 12 Knowledge graph building - Entities.mp4 98.7 MB
~Get Your Files Here !/37-Chapter 5 Collaborative filtering recommendations.mp4 97.3 MB
~Get Your Files Here !/48-Chapter 7 Providing recommendations.mp4 90.1 MB
~Get Your Files Here !/49-Chapter 7 Providing recommendations.mp4 89.3 MB
~Get Your Files Here !/61-Chapter 9 Identifying fraudulent transactions.mp4 86.6 MB
~Get Your Files Here !/09-Chapter 2 Graph data engineering.mp4 86.0 MB
~Get Your Files Here !/44-Chapter 6 Providing recommendations.mp4 85.3 MB
~Get Your Files Here !/73-Chapter 11 NLP and graphs.mp4 84.4 MB
~Get Your Files Here !/16-Chapter 2 Native vs. non-native graph databases.mp4 83.8 MB
~Get Your Files Here !/63-Chapter 10 Social network analysis against fraud.mp4 83.5 MB
~Get Your Files Here !/19-Chapter 3 Managing data sources.mp4 81.1 MB
~Get Your Files Here !/13-Chapter 2 Graphs are valuable for master data management.mp4 79.3 MB
~Get Your Files Here !/08-Chapter 1 The role of graphs in machine learning.mp4 77.4 MB
~Get Your Files Here !/35-Chapter 4 Providing recommendations.mp4 76.1 MB
~Get Your Files Here !/07-Chapter 1 Graphs as models of networks.mp4 74.8 MB
~Get Your Files Here !/15-Chapter 2 Sharding.mp4 73.9 MB
~Get Your Files Here !/74-Chapter 11 NLP and graphs.mp4 73.4 MB
~Get Your Files Here !/02-Chapter 1 Machine learning and graphs - An introduction.mp4 73.1 MB