[PacktPub] Probability / Statistics – The Foundations Of Machine ...

  • Category Other
  • Type Tutorials
  • Language English
  • Total size 7.9 GB
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  • Last checked 10 months ago
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[PacktPub] Probability / Statistics – The Foundations Of Machine Learning [Video]

The objective of this course is to give you a solid foundation needed to excel in all areas of computer science—specifically data science and machine learning. The issue is that most of the probability and statistics courses are too theory-oriented.

Author(s): Dr. Mohammad Nauman
Language: English
Released: June 2022
Videos Duration: 6h 34m

TO GET DIRECT DOWNLOAD LINKS OR GOOGLE DRIVE LINKS VISIT OUR WEBSITE

FOR MORE UDEMY AND OTHER COURSES VISIT: https://gigacourse.com
FOR MORE OTHER COURSES VISIT: https://Courseclub.me

Files:

[CourseClub.Me] PacktPub - Probability Statistics - The Foundations Of Machine Learning [Video] 0. Websites you may like
  • [CourseClub.Me].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)
  • 00001 Introduction.mp4 (94.9 MB)
  • 00002 Code_Environment_Setup_and_Python_Crash_Course.mp4 (321.0 MB)
  • 00003 Getting_Started_with_Code_-_Feel_of_Data.mp4 (213.9 MB)
  • 00004 Foundations_Data_Types_and_Representing_Data.mp4 (371.1 MB)
  • 00005 Practical_Note_-_One-Hot_Vector_Encoding.mp4 (84.1 MB)
  • 00006 Exploring_Data_Types_in_Code.mp4 (231.1 MB)
  • 00007 Central_Tendency_Mean_Median_and_Mode.mp4 (858.5 MB)
  • 00008 Dispersion_and_Spread_in_Data_Variance_Standard_Deviation.mp4 (92.6 MB)
  • 00009 Dispersion_Exploration_Through_Code.mp4 (196.6 MB)
  • 00010 Introduction_to_Uncertainty_Probability_Intuition.mp4 (135.1 MB)
  • 00011 Simulating_Coin_Flips_for_Probability.mp4 (300.8 MB)
  • 00012 Conditional_Probability_the_Most_Important_Concept_in_Stats.mp4 (290.7 MB)
  • 00013 Applying_Conditional_Probability_-_Bayes_Rule.mp4 (136.8 MB)
  • 00014 Application_of_Bayes_Rule_in_the_Real_World_-_Spam_Detection.mp4 (138.4 MB)
  • 00015 Spam_Detection_-_Implementation_Issues.mp4 (723.7 MB)
  • 00016 Rules_for_Counting_Mostly_Optional.mp4 (195.9 MB)
  • 00017 Quantifying_Events_-_Random_Variables.mp4 (111.3 MB)
  • 00018 Two_Random_Variables_-_Joint_Probabilities.mp4 (188.9 MB)
  • 00019 Distributions_-_Rationale_and_Importance.mp4 (252.1 MB)
  • 00020 Discrete_Distributions_Through_Code.mp4 (77.4 MB)
  • 00021 Continuous_Distributions_with_the_Help_of_an_Example.mp4 (193.2 MB)
  • 00022 Continuous_Distributions_Code.mp4 (78.6 MB)
  • 00023 Case_Study_-_Sleep_Analysis_Structure_and_Code.mp4 (1.0 GB)
  • 00024 Visualizing_Joint_Distributions_-_The_Road_to_ML_Success.mp4 (206.3 MB)
  • 00025 Dependence_and_Variance_of_Two_Random_Variables.mp4 (190.5 MB)
  • 00026 Expected_Values_-_Decision_Making_Through_Probabilities.mp4 (63.3 MB)
  • 00027 Entropy_-_The_Most_Important_Application_of_Expected_Values.mp4 (242.0 MB)
  • 00028 Applying_Entropy_-_Coding_Decision_Trees_for_Machine_Learning.mp4 (547.5 MB)
  • 00029 Foundations_of_Bayesian_Inference.mp4 (106.7 MB)
  • 00030 Bayesian_Inference_Code_Through_PyMC3.mp4 (314.8 MB)
  • Probability-Statistics---The-Foundations-of-Machine-Learning-main.zip (55.2 MB)
  • [CourseClub.Me].url (0.1 KB)
  • [GigaCourse.Com].url (0.0 KB)

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