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خانه » فروشگاه » Applied Bayes’ Theorem and Naive Bayes Classifiers

Applied Bayes’ Theorem and Naive Bayes Classifiers

سرفصل های دوره

Learn the fundamentals to better develop or acquire such Machine Learning Methods


1 - Introduction
  • 1 - L01-The-Purpose-and-the-Structure-of-the-Course.pdf
  • 1 - The Purpose and Structure of this Course

    • 2 - An InDepth Presentation of Probability Rules and Practices
  • 2 - Fundamental Definitions of Probability
  • 2 - L02-Fundamental-Definitions-of-Probability.pdf
  • 3 - L03-01-Distribution-of-Application-Scores-Single-Category.xlsx
  • 3 - L03-02-The-Binomial-Distribution.xlsx
  • 3 - L03-03-Distribution-Table-Client-Rating-by-Size-of-Customer.xlsx
  • 3 - L03-Probability-Distribution-Tables-Contingency.pdf
  • 3 - Probability Distribution Tables Contingency
  • 4 - L04-Probability-Rule-1-Intersection-Rule-for-Independent-Events-JOIN.pdf
  • 4 - Probability Rule 1 Intersection Rule for Independent Events JOIN
  • 5 - L05-Probability-Rule-2-The-Union-Rule-OR-or-UNION.pdf
  • 5 - L05-Solution-to-the-Hiking-Route-Puzzle.pptx
  • 5 - L05-Solution-to-the-Hiking-Route-Puzzle.xlsx
  • 5 - Probability Rule 2 The Union Rule OR or UNION
  • 6 - L06-Probability-Rule-3-The-Union-Rule-XOR-or-Exclusive-UNION.pdf
  • 6 - Probability Rule 3 The Union Rule XOR or Exclusive UNION
  • 7 - L07-01-Distribution-Table-Education-by-Gender.xlsx
  • 7 - L07-Probability-Rule-4-The-Intersection-Rule-AND-or-CONDITIONAL-for-Dependent-Events.pdf
  • 7 - Probability Rule 4 The Intersection Rule AND or CONDITIONAL for Dependent Eve
  • 8 - L08-01-Reliability-Data.xlsx
  • 8 - Probability Rule 4 The Intersection Rule for Dependent Events Examples
  • 9 - L09-Probability-Decision-Trees-and-Probability.pdf
  • 9 - Probability Decision Trees and Probability
  • 10 - L10-Probability-Rule-5-The-Meaning-of-Independence-and-Mutual-Exclusivity.pdf
  • 10 - Probability Rule 5 The Meaning of Independence and Mutual Exclusivity
  • 11 - L11-01-Total-Probability-Three-Bags-and-Two-Colors.xlsx
  • 11 - L11-02-Total-Probability-Two-by-Two-Table.xlsx
  • 11 - L11-Probability-Rule-6-Total-Probability.pdf
  • 11 - Probability Rule 6 Total Probability
  • 12 - L12-Probability-Rule-7-The-Chain-Rule-of-Probability.pdf
  • 12 - Probability Rule 7 The Chain Rule of Probability

    • 3 - The Use of the Confusion Matrix for Evaluating Bayesian Results
  • 13 - Evaluating Classifiers with the Confusion Matrix and its KPIs
  • 13 - L13-Evaluating-Classifiers-with-the-Confusion-Matrix-and-its-KPIs.pdf
  • 13 - l13-01-customer-loan-data-with-the-confusion-matrix.zip
  • 14 - Extracting KPIs from the Confusion Matrix
  • 14 - L14-00-Support-Confusion-Matrix-KPIs-List.xlsx
  • 14 - L14-03-Confusion-Matrix-Indicators-from-a-Contingency-Table.xlsx
  • 14 - L14-Extracting-KPIs-from-the-Confusion-Matrix.pdf
  • 14 - l14-01-customer-loan-data-with-the-confusion-matrix.zip
  • 14 - l14-02-to-play-or-not-to-play-tennis-use-countifs.zip
  • 15 - Evaluating Classifiers in the Case of Multiple Classes or Multiple Labels
  • 15 - L15-Evaluating-Classifiers-in-the-Case-of-Multiple-Classes-or-Multiple-Labels.pdf
  • 15 - l15-01-multiclass-per-item-over-2.zip
  • 15 - l15-02-multilevel-per-item-over-2.zip

    • 4 - The Fundamental Application of Bayes Theorem
  • 16 - Bayes Theorem Rationale and Derivation of Theorem
  • 16 - L16-Bayes-Theorem-Rationale-and-Derivation-of-Theorem.pdf
  • 17 - Bayes Theorem A Bayesian Story an Example without Formulas
  • 17 - L17-01-Bayes-Theorem-Mother-Board-Testing.xlsx
  • 17 - L17-Bayes-Theorem-A-Bayesian-Story-an-Example-without-Formulas.pdf
  • 18 - Bayes Theorem Defining the Factors in Bayes Theorem
  • 18 - L18-Bayes-Theorem-Defining-the-Factors-in-Bayes-Theorem.pdf
  • 19 - Bayes Theorem W1 The Famous HIV Test
  • 19 - L19-00-Support-List-of-Workouts.xlsx
  • 19 - L19-02-Bayes-Theorem-HIV-Testing.xlsx
  • 19 - L19-Bayes-Theorem-W1-The-Famous-HIV-Test.pdf
  • 20 - Bayes Theorem W2W4 Spam Testing 3 Events Defective Machines and HIV Hori
  • 20 - L20-02-Bayes-Theorem-Spam-Testing-with-Three-Events.xlsx
  • 20 - L20-03-Bayes-Theorem-Three-Machines-with-Defectives.xlsx
  • 20 - L20-04-Bayes-Theorem-HIV-Testing-using-the-Horizontal-Table-Format.xlsx
  • 20 - L20-Bayes-Theorem-W2-W4-Spam-Testing-3-Events-Defective-Machines-and-HIV-Horizontal-Table.pdf
  • 21 - Bayes Theorem W5 Spam Testing Contingency Table and Graphic Solutions
  • 21 - L21-05-Bayes-Theorem-Spam-Detection-Graphics.xlsx
  • 21 - L21-Bayes-Theorem-W5-Spam-Testing-Contingency-Table-and-Graphic-Solutions.pdf
  • 22 - Bayes Theorem W5 Spam Testing Continued Deriving Posteriors with the Con
  • 22 - L22-05-Bayes-Theorem-Spam-Detection-Graphics-Duplicate-of-L21-01.xlsx
  • 22 - L22-Bayes-Theorem-W5-Spam-Testing-Continued-Deriving-Posteriors-with-the-Confusion-Matrix.pdf
  • 23 - Bayes Theorem W6W8 Predicting Rain and Identifying Product Suppliers Mon
  • 23 - L23-06-Bayes-Theorem-Predicting-Rain-or-Shine.xlsx
  • 23 - L23-07-Bayes-Theorem-Identifying-Production-Brands.xlsx
  • 23 - L23-Bayes-Theorem-W6-W8-Predicting-Rain-and-Identifying-Product-Suppliers-Monty-Hall.pdf

    • 5 - Naive Bayes Classifiers
  • 24 - L24-01-Examples-of-Supervised-Tables.xlsx
  • 24 - L24-Naive-Bayes-Classifiers-Introduction.pdf
  • 24 - Naive Bayes Classifiers Introduction
  • 25 - L25-Naive-Bayes-Classifiers-Introducing-the-Algorithm.pdf
  • 25 - Naive Bayes Classifiers Introducing the Algorithm
  • 26 - L26-01-Flight-Status.xlsx
  • 26 - L26-Naive-Bayes-Classifiers-The-Algorithm-thru-a-Short-Example.pdf
  • 26 - Naive Bayes Classifiers The Algorithm thru a Short Example
  • 27 - L27-Naive-Bayes-Classifiers-The-Naive-Bayes-Classifier-Procedure-Applied-on-a-Categorical-Example.pdf
  • 27 - Naive Bayes Classifiers The Naive Bayes Classifier Procedure Applied on a Cate
  • 28 - L28-01-Can-Person-Buy-a-Laptop.xlsx
  • 28 - L28-02-Transportation-Mode.xlsx
  • 28 - L28-Naive-Bayes-Classifiers-More-Categorical-Examples.pdf
  • 28 - Naive Bayes Classifiers More Categorical Examples
  • 29 - L29-01-To-Play-or-Not-to-Play-Tennis-Laplace.xlsx
  • 29 - L29-02-Transport-Mode-Laplace.xlsx
  • 29 - L29-Naive-Bayes-Classifiers-Laplace-Smoothing-Correction.pdf
  • 29 - Naive Bayes Classifiers Laplace Smoothing Correction
  • 30 - L30-01-Can-Person-Buy-a-Laptop-M-Estimate.xlsx
  • 30 - Naive Bayes Classifiers Correction using MEstimates
  • 31 - L31-Naive-Bayes-Classifiers-Gaussian-and-Continuous.pdf
  • 31 - Naive Bayes Classifiers Gaussian and Continuous
  • 32 - L32-01-Classification-of-Clients-by-Rating.xlsx
  • 32 - L32-02-Using-Gaussian-Features-in-the-Tennis-Model.xlsx
  • 32 - L32-03-The-IRIS-Dataset.xlsx
  • 32 - L32-03-The-IRIS-Original-Dataset.xlsx
  • 32 - L32-Naive-Bayes-Classifiers-Three-Gaussian-Examples.pdf
  • 32 - Naive Bayes Classifiers Three Gaussian Examples
  • 33 - L33-01-Example-of-Variance-Regularization.xlsx
  • 33 - L33-02-The-Regularized-Client-Rating-Dataset.xlsx
  • 33 - L33-03-The-Regularized-IRIS-Dataset.xlsx
  • 33 - L33-Naive-Bayes-Classifiers-Some-Extensions-to-Continuous-Features.pdf
  • 33 - Naive Bayes Classifiers Some Extensions to Continuous Features
  • 33 - l33-02-the-regularized-client-rating-dataset-using-vba.zip
  • 34 - L34-00-Support-Beta-Distribution-Shapes.xlsx
  • 34 - L34-01-Personal-Loans-and-the-Beta-Distribution.xlsx
  • 34 - L34-Naive-Bayes-Classifiers-Handling-Non-Gaussian-Continuous-Features-Beta-Distribution.pdf
  • 34 - Naive Bayes Classifiers Handling NonGaussian Continuous Features Beta Distri
  • 35 - L35-01-Applying-the-Non-Gaussian-Beta-Procedure-to-Personal-Loans.xlsx
  • 35 - L35-Naive-Bayes-Classifiers-Applying-the-Non-Gaussian-Beta-Procedure-to-Personal-Loans.pdf
  • 35 - Naive Bayes Classifiers Applying the NonGaussian Beta Procedure to Personal
  • 36 - L36-Naive-Bayes-Classifiers-Discrete-Distributions-Bernoulli-and-Categorical.pdf
  • 36 - Naive Bayes Classifiers Discrete Distributions Bernoulli and Categorical
  • 37 - L37-01-The-Binomial-Distribution.xlsx
  • 37 - L37-Naive-Bayes-Classifiers-Discrete-Distribution-Binomial.pdf
  • 37 - Naive Bayes Classifiers Discrete Distribution Binomial
  • 38 - L38-Naive-Bayes-Classifiers-Discrete-Distribution-Multinomial.pdf
  • 38 - Naive Bayes Classifiers Discrete Distribution Multinomial
  • 39 - L39-01-Bernoulli-A-Generic-Document-Example.xlsx
  • 39 - L39-02-Bernoulli-Classifying-Reviews-of-a-Novel.xlsx
  • 39 - L39-Naive-Bayes-Classifiers-Bernoulli-Naive-Bayes-Examples.pdf
  • 39 - Naive Bayes Classifiers Bernoulli Naive Bayes Examples
  • 40 - L40-01-Classifying-Locations-by-Type-of-Sport-Multinomial-Formula.xlsx
  • 40 - L40-02-Classifying-Reviews-of-a-Novel-Multinomial-Formula.xlsx
  • 40 - L40-03-Classifying-Motherboards-by-Defect-Type-Multinomial-Formula.xlsx
  • 40 - L40-Naive-Bayes-Classifiers-Multinomial-Naive-Bayes-Examples.pdf
  • 40 - Naive Bayes Classifiers Multinomial Naive Bayes Examples
  • 41 - L41-01-Contamination-Tests-Non-Weighted-Gaussian.xlsx
  • 41 - L41-02-Contamination-Tests-Gaussian-Weighted-Likelihoods.xlsx
  • 41 - L41-03-Contamination-Tests-Gaussian-Weighted-Likelihoods-and-Classes.xlsx
  • 41 - L41-04-Modified-Bernoulli-Classifying-Reviews-of-a-Novel.xlsx
  • 41 - L41-Naive-Bayes-Classifiers-Weighted-Naive-Bayes.pdf
  • 41 - Naive Bayes Classifiers Weighted Naive Bayes
  • 42 - L42-01-Complement-NBC-Classifying-Locations-by-Type-of-Sport.xlsx
  • 42 - L42-Naive-Bayes-Classifiers-Complement-Classifier.pdf
  • 42 - Naive Bayes Classifiers Complement Classifier
  • 43 - L43-01-To-Play-or-Not-to-Play-Tennis-Entropy-Calculations.xlsx
  • 43 - L43-Naive-Bayes-Classifiers-Entropy-and-Information.pdf
  • 43 - Naive Bayes Classifiers Entropy and Information
  • 44 - L44-01-Client-Rating-Kononenko-Algorithm.xlsx
  • 44 - L44-02-How-to-Calculate-Weighted-Averages.xlsx
  • 44 - L44-03-Can-Person-Buy-a-Laptop-Kononenko-Algorithm.xlsx
  • 44 - L44-Naive-Bayes-Classifiers-Kononenko-Information-Gain-and-Evaluation-Feature-Influence.pdf
  • 44 - Naive Bayes Classifiers Kononenko Information Gain and Evaluation Feature Infl
  • 45 - L45-01-Relating-Probability-to-Odds.xlsx
  • 45 - L45-02-Log-of-Odds-Ratio-Tennis.xlsx
  • 45 - L45-Naive-Bayes-Classifiers-Log-Odds-Ratio-and-Nomograms.pdf
  • 45 - Naive Bayes Classifiers Log Odds Ratio and Nomograms
  • 46 - L46-01-Discrete-Probability-Transactions-per-Day.xlsx
  • 46 - L46-Naive-Bayes-Classifiers-Kernel-Distance-Estimation-Discrete-and-Continuous-Distributions.pdf
  • 46 - Naive Bayes Classifiers Kernel Distance Estimation Discrete and Continuous Di
  • 47 - L47-01-Client-Rating-with-KERNEL.xlsx
  • 47 - L47-Naive-Bayes-Classifiers-Kernel-Distance-Estimation-and-Application-of-Naive-Bayes-Classifiers.pdf
  • 47 - Naive Bayes Classifiers Kernel Distance Estimation and Application of Naive Ba
  • 48 - L48-01-Overfitting-and-Underfitting.xlsx
  • 48 - L48-Naive-Bayes-Classifiers-Kernel-Distance-Estimation-Estimating-the-Bandwidth-h.pdf
  • 48 - Naive Bayes Classifiers Kernel Distance Estimation Estimating the Bandwidth
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    تاریخ انتشار: ۲۰ اردیبهشت ۱۴۰۴
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