Presentación Español NotCo Digital Summit 2020
Brewing a cup of data
Presentación Español NotCo Digital Summit 2020
25:03
Insights on Patents and Intellectual Property in Startups
Brewing a cup of data
Insights on Patents and Intellectual Property in Startups
20:09
Tutorial 11: Monte Carlo Methods: Part 4 : Uniform Sampling
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Tutorial 11: Monte Carlo Methods: Part 4 : Uniform Sampling
10:02
Tutorial 11: Monte Carlo Methods: Part 3 : The Box-Müller transformation, Python code.
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Tutorial 11: Monte Carlo Methods: Part 3 : The Box-Müller transformation, Python code.
6:07
Tutorial 11: Monte Carlo Methods: Part 2 : Sampling from the Multinomial, Python algorithm.
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Tutorial 11: Monte Carlo Methods: Part 2 : Sampling from the Multinomial, Python algorithm.
10:19
Tutorial 11: Monte Carlo Methods: Part 1 Introduction, the Box-Müller method
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Tutorial 11: Monte Carlo Methods: Part 1 Introduction, the Box-Müller method
26:15
Tutorial 10: Bayesian Inference: Part 11: Bayesian Linear Regression in Python
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Tutorial 10: Bayesian Inference: Part 11: Bayesian Linear Regression in Python
27:29
Tutorial 10: Bayesian Inference: Part 10
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Tutorial 10: Bayesian Inference: Part 10
6:02
Tutorial 10: Bayesian Inference: Part 9
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Tutorial 10: Bayesian Inference: Part 9
4:33
Tutorial 10: Bayesian Inference: Part 8
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Tutorial 10: Bayesian Inference: Part 8
15:04
Tutorial 10: Bayesian Inference: Part 7
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Tutorial 10: Bayesian Inference: Part 7
10:39
Tutorial 10: Bayesian Inference: Part 6
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Tutorial 10: Bayesian Inference: Part 6
11:32
Tutorial 10: Bayesian Inference: Part 5
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Tutorial 10: Bayesian Inference: Part 5
9:17
Tutorial 10: Bayesian Inference: Part 4
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Tutorial 10: Bayesian Inference: Part 4
8:54
Tutorial 10: Bayesian Inference: Part 3
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Tutorial 10: Bayesian Inference: Part 3
12:43
Tutorial 10: Bayesian Inference: Part 2
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Tutorial 10: Bayesian Inference: Part 2
16:01
Tutorial 10: Bayesian Inference: Part 1
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Tutorial 10: Bayesian Inference: Part 1
10:52
Tutorial 9: KMeans Clustering: Part 5
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Tutorial 9: KMeans Clustering: Part 5
6:46
Tutorial 9: KMeans Clustering: Part 4
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Tutorial 9: KMeans Clustering: Part 4
17:10
Tutorial 9: KMeans Clustering: Part 3
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Tutorial 9: KMeans Clustering: Part 3
19:08
Tutorial 9: KMeans Clustering: Part 2
Brewing a cup of data
Tutorial 9: KMeans Clustering: Part 2
10:20
Tutorial 9: K-Means Clustering: Part 1
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Tutorial 9: K-Means Clustering: Part 1
13:38
Tutorial 8: Classification Assessment: Part 10
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Tutorial 8: Classification Assessment: Part 10
14:07
Tutorial 8: Classification Assessment: Part 9
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Tutorial 8: Classification Assessment: Part 9
14:21
Tutorial 8: Classification Assessment: Part 8
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Tutorial 8: Classification Assessment: Part 8
19:26
Tutorial 8: Classification Assessment Part 7
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Tutorial 8: Classification Assessment Part 7
7:56
Tutorial 8: Classification Assessment Part 6
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Tutorial 8: Classification Assessment Part 6
9:30
Tutorial 8: Classification Assessment Part 4
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Tutorial 8: Classification Assessment Part 4
2:24
Tutorial 8: Classification Assessment: Part 5
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Tutorial 8: Classification Assessment: Part 5
7:35
Tutorial 8: Classification Assessment: Part 3
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Tutorial 8: Classification Assessment: Part 3
7:49
Tutorial 8: Classification Assessment: Part 2
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Tutorial 8: Classification Assessment: Part 2
9:30
Tutorial 8: Classification Assessment: Part 1
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Tutorial 8: Classification Assessment: Part 1
8:49
Tutorial 7: Support Vector Machines: Part 5
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Tutorial 7: Support Vector Machines: Part 5
3:23
Tutorial 7: Support Vector Machines: Part 4
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Tutorial 7: Support Vector Machines: Part 4
7:24
Tutorial 7: Support Vector Machines: Part 3
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Tutorial 7: Support Vector Machines: Part 3
6:03
Tutorial 7: Support Vector Machines: Part 2
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Tutorial 7: Support Vector Machines: Part 2
5:23
Tutorial 7: Support Vector Machines: Part 1
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Tutorial 7: Support Vector Machines: Part 1
12:02
Tutorial 6: Naive Bayes: Part 3
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Tutorial 6: Naive Bayes: Part 3
5:04
Tutorial 6: Naive Bayes: Part 7
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Tutorial 6: Naive Bayes: Part 7
9:13
Tutorial 6: Naive Bayes: Part 6
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Tutorial 6: Naive Bayes: Part 6
7:47
Tutorial 6: Naive Bayes: Part 5
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Tutorial 6: Naive Bayes: Part 5
12:20
Tutorial 6: Naive Bayes: Part 4
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Tutorial 6: Naive Bayes: Part 4
5:58
Tutorial 6: Naive Bayes: Part 2
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Tutorial 6: Naive Bayes: Part 2
3:49
Tutorial 6: Naive Bayes: Part 1
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Tutorial 6: Naive Bayes: Part 1
10:04
Tutorial 5: K-NN: Part 9 KD-Trees remarks
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Tutorial 5: K-NN: Part 9 KD-Trees remarks
4:18
Tutorial 5: K-NN Part 8: KD-Trees NN search
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Tutorial 5: K-NN Part 8: KD-Trees NN search
11:03
Tutorial 5: K-NN Part 7 KD-Trees
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Tutorial 5: K-NN Part 7 KD-Trees
8:07
Tutorial 5: K-NN: Part 6 KD Trees Construction (Python)
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Tutorial 5: K-NN: Part 6 KD Trees Construction (Python)
9:26
Tutorial 5: K-NN: Part 5 KD Trees
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Tutorial 5: K-NN: Part 5 KD Trees
10:14
Tutorial 5: K-NN: Part 4
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Tutorial 5: K-NN: Part 4
12:03
Tutorial 5: K-NN: Part 3
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Tutorial 5: K-NN: Part 3
13:54
Tutorial 5: K-NN: Part 2
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Tutorial 5: K-NN: Part 2
12:45
Tutorial 5: K-NN Part 1
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Tutorial 5: K-NN Part 1
9:29
Tutorial 4: Decision Trees: Part 9
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Tutorial 4: Decision Trees: Part 9
23:43
Tutorial 4: Decision Trees: Part 8
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Tutorial 4: Decision Trees: Part 8
25:51
Tutorial 4: Decision Trees: Part 7
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Tutorial 4: Decision Trees: Part 7
16:04
Tutorial 4: Decision Trees: Part 6
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Tutorial 4: Decision Trees: Part 6
5:26
Tutorial 4: Decision Trees: Part 5
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Tutorial 4: Decision Trees: Part 5
8:24
Tutorial 4: Decision Trees: Part 4
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Tutorial 4: Decision Trees: Part 4
18:14
Tutorial 4: Decision Trees: Part 3
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Tutorial 4: Decision Trees: Part 3
11:30
Tutorial 4: Decision Trees: Part 2
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Tutorial 4: Decision Trees: Part 2
9:42
Tutorial 4: Decision Trees: Part 1
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Tutorial 4: Decision Trees: Part 1
10:42
Tutorial 3: Logistic Regression: Part 3
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Tutorial 3: Logistic Regression: Part 3
9:19
Tutorial 3: Logistic Regression: Part 2
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Tutorial 3: Logistic Regression: Part 2
15:34
Tutorial 3: Logistic Regression Part 1
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Tutorial 3: Logistic Regression Part 1
13:02
Tutorial 2: Linear Regression part 4: Non linear model with Radial Basis Function
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Tutorial 2: Linear Regression part 4: Non linear model with Radial Basis Function
18:27
Tutorial 2: Linear Regression Part 3: Polynomial Basis Kernel Function
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Tutorial 2: Linear Regression Part 3: Polynomial Basis Kernel Function
10:18
Tutorial 2: Linear Regression Part 2: Python Code for Linear Regression
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Tutorial 2: Linear Regression Part 2: Python Code for Linear Regression
12:07
Tutorial 2: Linear Regression: Part 1
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Tutorial 2: Linear Regression: Part 1
11:35
Tutorial 1: Part 3C: Coding the apriori algorithm in Python
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Tutorial 1: Part 3C: Coding the apriori algorithm in Python
20:04
Tutorial 1: Part 3B: Coding the apriori algorithm in Python
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Tutorial 1: Part 3B: Coding the apriori algorithm in Python
19:41
Tutorial 1: Part 3A: Coding the apriori algorithm in Python
Brewing a cup of data
Tutorial 1: Part 3A: Coding the apriori algorithm in Python
18:22
Tutorial 1: Association Rule Mining: Part 2A: Practical Exercise
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Tutorial 1: Association Rule Mining: Part 2A: Practical Exercise
11:00
Tutorial 1: Association Rule Mining Part 2 B: Practical Exercise
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Tutorial 1: Association Rule Mining Part 2 B: Practical Exercise
7:09
Tutorial 1: Association Rule Mining part 1 B: Some Theory
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Tutorial 1: Association Rule Mining part 1 B: Some Theory
10:01
Tutorial 1: Association Rule Mining: part 1 A
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Tutorial 1: Association Rule Mining: part 1 A
12:08