Tubidy
    Part I: Decision Tree, ID3 Algorithm, Rules, Classification, Entropy, Information Gain, Supervised

    Part I: Decision Tree, ID3 Algorithm, Rules, Classification, Entropy, Information Gain, Supervised

    16:27 |
    Download MP3

    Related Videos

    N-Gram Language Model, Exercises using, Bi-Gram, Tri-gram & Four-gram, Natural Language Processing 18:09

    N-Gram Language Model, Exercises using, Bi-Gram, Tri-gram & Four-gram, Natural Language Processing

    NLP Introduction Part I:Definition,Natural Language Generation(NLG)& Understanding(NLU), Need, Goals 13:13

    NLP Introduction Part I:Definition,Natural Language Generation(NLG)& Understanding(NLU), Need, Goals

    Frequent, Closed, Maximal Itemset, Definition,Concept, Need, Examples, Data Mining, Association Rule 12:02

    Frequent, Closed, Maximal Itemset, Definition,Concept, Need, Examples, Data Mining, Association Rule

    Segmentation based on Discontinuities (Point, Line, Edge), First Order & Second Order Derivative 16:52

    Segmentation based on Discontinuities (Point, Line, Edge), First Order & Second Order Derivative

    Set Theoretic Extended Boolean Model,Modeling Information Retrieval (IR) 20:31

    Set Theoretic Extended Boolean Model,Modeling Information Retrieval (IR)

    Classic Model: Vector, Modeling Information Retrieval (IR), Intra & Inter cluster, cosine similarity 14:09

    Classic Model: Vector, Modeling Information Retrieval (IR), Intra & Inter cluster, cosine similarity

    Part I : Image Compression, Intro, Lossless and Lossy, Compression Ratio Relative Data Redundancy 13:01

    Part I : Image Compression, Intro, Lossless and Lossy, Compression Ratio Relative Data Redundancy

    Classical Model: Boolean, Modeling Information Retrieval, Boolean Operators, CNF, DNF 15:44

    Classical Model: Boolean, Modeling Information Retrieval, Boolean Operators, CNF, DNF

    Improved Apriori Algorithm in data mining, hash, partitioning, sampling, reduction, DIC 21:33

    Improved Apriori Algorithm in data mining, hash, partitioning, sampling, reduction, DIC

    Part of Speech (POS) Tagging, Viterbi Algorithm, Solved Problem, Natural Language Processing 15:18

    Part of Speech (POS) Tagging, Viterbi Algorithm, Solved Problem, Natural Language Processing

    Semantic Analysis Part 3:Relations among lexemes & their Senses, NLP, Homonymy, Polysemy, Syno, 15:48

    Semantic Analysis Part 3:Relations among lexemes & their Senses, NLP, Homonymy, Polysemy, Syno,

    Edge Detection Operators, Segmentation Ordinary, Robert, Prewitt, Sobel, First Order Derivative 14:26

    Edge Detection Operators, Segmentation Ordinary, Robert, Prewitt, Sobel, First Order Derivative

    Part I: Decision Tree, ID3 Algorithm, Rules, Classification, Entropy, Information Gain, Supervised 16:28

    Part I: Decision Tree, ID3 Algorithm, Rules, Classification, Entropy, Information Gain, Supervised

    Part 6: Introduction to NLP, Why NLP is hard, Textual Humor, Sarcasm, Idioms, Neologisms, Tokenizati 15:29

    Part 6: Introduction to NLP, Why NLP is hard, Textual Humor, Sarcasm, Idioms, Neologisms, Tokenizati

    Part I: Optics Clustering Algorithm, Data Mining, Example, Density based, core and reachable 17:16

    Part I: Optics Clustering Algorithm, Data Mining, Example, Density based, core and reachable

    Algebraic Model: Latent Semantic Indexing, Theory+Exercise, Modelling Information Retrieval,SVD 18:22

    Algebraic Model: Latent Semantic Indexing, Theory+Exercise, Modelling Information Retrieval,SVD

    Low pass, High Pass, Median Filter Mask exercises,Spatial domain filters, Image Processing, Noise, 21:31

    Low pass, High Pass, Median Filter Mask exercises,Spatial domain filters, Image Processing, Noise,

    Evaluation of Information Retrieval System, Unranked Retrieval Precision, Recall, Accuracy, F1-Score 28:36

    Evaluation of Information Retrieval System, Unranked Retrieval Precision, Recall, Accuracy, F1-Score

    Part I: Frequent Pattern (FP) growth Algorithm, Conditional Pattern Base, Data Mining, Link Analysis 10:27

    Part I: Frequent Pattern (FP) growth Algorithm, Conditional Pattern Base, Data Mining, Link Analysis

    Segmentation, Image Processing, Point, Line Detection, Discontinuity, Similarity 12:03

    Segmentation, Image Processing, Point, Line Detection, Discontinuity, Similarity