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种子名称：
[FreeCoursesOnline.Me] [Packt] Hands-On Artificial Intelligence for Small Businesses [FCO]
文件类型：
视频
文件数目：
27个文件
文件大小：
755.83 MB
收录时间：
2020-9-7 11:40
已经下载：
3次
资源热度：
219
最近下载：
2024-12-27 02:55
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种子包含的文件
[FreeCoursesOnline.Me] [Packt] Hands-On Artificial Intelligence for Small Businesses [FCO].torrent
01. Getting Started with Artificial Intelligence with Python/0101.The Course Overview.mp443.14MB
01. Getting Started with Artificial Intelligence with Python/0102.What Can AI Do for Businesses.mp431.91MB
01. Getting Started with Artificial Intelligence with Python/0103.Set Up and Installation – Anaconda and PyTorch.mp49.2MB
01. Getting Started with Artificial Intelligence with Python/0104.Notebooks and Debugging.mp49.43MB
01. Getting Started with Artificial Intelligence with Python/0105.Working with Lambdas and Functional Programming Tools.mp421.73MB
01. Getting Started with Artificial Intelligence with Python/0106.Understanding NumPy and Matplotlib.mp433.06MB
02.Predicting Sales with Supervised Learning/0201.Classification versus Regression.mp426.83MB
02.Predicting Sales with Supervised Learning/0202.Training, Testing, and Validation.mp425.92MB
02.Predicting Sales with Supervised Learning/0203.Boosting and Ensembles.mp418.77MB
02.Predicting Sales with Supervised Learning/0204.Small Data and Cross Validation.mp46.31MB
02.Predicting Sales with Supervised Learning/0205.Building Artificial Neural Networks.mp443.86MB
03. Understanding Your Customer Base Using Unsupervised Learning/0301.Understanding Unsupervised Learning.mp425.17MB
03. Understanding Your Customer Base Using Unsupervised Learning/0302.Using Bayesian Inference.mp45.58MB
03. Understanding Your Customer Base Using Unsupervised Learning/0303.Expectation Maximization.mp420.01MB
03. Understanding Your Customer Base Using Unsupervised Learning/0304.Notions of Distance.mp428.13MB
03. Understanding Your Customer Base Using Unsupervised Learning/0305.Hierarchical Clustering Methods.mp410.86MB
04. Product Recommendations Using Semi-Supervised Learning/0401.Understanding Semi-Supervised Learning.mp411.8MB
04. Product Recommendations Using Semi-Supervised Learning/0402.Nearest Neighbor Search and Collaborative Filtering.mp428.76MB
04. Product Recommendations Using Semi-Supervised Learning/0403.Building a Recommendation Engine.mp48.43MB
04. Product Recommendations Using Semi-Supervised Learning/0404.Extracting Features from Natural Language.mp413.92MB
04. Product Recommendations Using Semi-Supervised Learning/0405.Recommendation Objectives and Clustering.mp423.56MB
04. Product Recommendations Using Semi-Supervised Learning/0406.Active Learning.mp416.13MB
05. Optimizing Page Layouts and Advertisements Using Reinforcement Learning/0501.Understanding Reinforcement Learning.mp415.63MB
05. Optimizing Page Layouts and Advertisements Using Reinforcement Learning/0502.Continual AB Testing.mp438.25MB
05. Optimizing Page Layouts and Advertisements Using Reinforcement Learning/0503.Infinite AB Testing.mp422.55MB
05. Optimizing Page Layouts and Advertisements Using Reinforcement Learning/0504.Using Context.mp4124.48MB
05. Optimizing Page Layouts and Advertisements Using Reinforcement Learning/0505.Learning Across Time.mp492.39MB
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