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种子名称：
[FreeCoursesOnline.Me] PacktPub - Probability Statistics - The Foundations Of Machine Learning [Video]
文件类型：
视频
文件数目：
30个文件
文件大小：
7.83 GB
收录时间：
2023-9-14 07:44
已经下载：
3次
资源热度：
199
最近下载：
2024-11-24 13:05
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magnet:?xt=urn:btih:0eab441e0b12edd78dad8ee063f18667d30e2c79&dn=[FreeCoursesOnline.Me] PacktPub - Probability Statistics - The Foundations Of Machine Learning [Video]
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种子包含的文件
[FreeCoursesOnline.Me] PacktPub - Probability Statistics - The Foundations Of Machine Learning [Video].torrent
00001 Introduction.mp494.92MB
00002 Code_Environment_Setup_and_Python_Crash_Course.mp4320.95MB
00003 Getting_Started_with_Code_-_Feel_of_Data.mp4213.92MB
00004 Foundations_Data_Types_and_Representing_Data.mp4371.08MB
00005 Practical_Note_-_One-Hot_Vector_Encoding.mp484.1MB
00006 Exploring_Data_Types_in_Code.mp4231.06MB
00007 Central_Tendency_Mean_Median_and_Mode.mp4858.48MB
00008 Dispersion_and_Spread_in_Data_Variance_Standard_Deviation.mp492.59MB
00009 Dispersion_Exploration_Through_Code.mp4196.65MB
00010 Introduction_to_Uncertainty_Probability_Intuition.mp4135.12MB
00011 Simulating_Coin_Flips_for_Probability.mp4300.79MB
00012 Conditional_Probability_the_Most_Important_Concept_in_Stats.mp4290.72MB
00013 Applying_Conditional_Probability_-_Bayes_Rule.mp4136.75MB
00014 Application_of_Bayes_Rule_in_the_Real_World_-_Spam_Detection.mp4138.4MB
00015 Spam_Detection_-_Implementation_Issues.mp4723.69MB
00016 Rules_for_Counting_Mostly_Optional.mp4195.94MB
00017 Quantifying_Events_-_Random_Variables.mp4111.26MB
00018 Two_Random_Variables_-_Joint_Probabilities.mp4188.94MB
00019 Distributions_-_Rationale_and_Importance.mp4252.07MB
00020 Discrete_Distributions_Through_Code.mp477.41MB
00021 Continuous_Distributions_with_the_Help_of_an_Example.mp4193.23MB
00022 Continuous_Distributions_Code.mp478.57MB
00023 Case_Study_-_Sleep_Analysis_Structure_and_Code.mp41.04GB
00024 Visualizing_Joint_Distributions_-_The_Road_to_ML_Success.mp4206.3MB
00025 Dependence_and_Variance_of_Two_Random_Variables.mp4190.46MB
00026 Expected_Values_-_Decision_Making_Through_Probabilities.mp463.34MB
00027 Entropy_-_The_Most_Important_Application_of_Expected_Values.mp4242.01MB
00028 Applying_Entropy_-_Coding_Decision_Trees_for_Machine_Learning.mp4547.47MB
00029 Foundations_of_Bayesian_Inference.mp4106.68MB
00030 Bayesian_Inference_Code_Through_PyMC3.mp4314.77MB
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