machine learning

Examples explain supervised learning, unsupervised learning, and reinforcement learning

• Chapter 1：Welcome to the Machine Learning Course (49 seconds)

• Chapter 2：Similarities and Differences between Machine Learning and Traditional Programming (59 seconds)

• Chapter 3：Machine learning is everywhere the answer (20 seconds)

• Chapter 4：Machine learning is everywhere (1 minutes and 5 seconds)

• Chapter 5：Study project introduction (1 minutes and 19 seconds)

• Chapter 6：Get started with machine learning (35 seconds)

• Chapter 7：Introduction to artificial intelligence (40 seconds)

• Chapter 8：Artificial Intelligence Difficulties (1 minutes and 31 seconds)

• Chapter 9：Characteristics of artificial intelligence problems (56 seconds)

• Chapter 10：Artificial Intelligence and Uncertainty (1 minutes and 51 seconds)

• Chapter 11：What are the artificial intelligence problems? (18 seconds)

• Chapter 12：What are the artificial intelligence problems? Answer (27 seconds)

• Chapter 13：Artificial intelligence in action: Watson (1 minutes and 9 seconds)

• Chapter 14：Artificial Intelligence in Action: Watson Answers (19 seconds)

• Chapter 15：What is knowledge-based artificial intelligence? (2 minutes and 36 seconds)

• Chapter 16：Basic knowledge: four schools of artificial intelligence (2 minutes and 45 seconds)

• Chapter 17：What is knowledge-based artificial intelligence? 2 (23 seconds)

• Chapter 18：What is knowledge-based artificial intelligence? Answer (33 seconds)

• Chapter 19：Four schools of artificial intelligence (19 seconds)

• Chapter 20：Answers to the Four Schools of Artificial Intelligence (1 minutes and 48 seconds)

• Chapter 21：Introduction to Bayesian Formula (24 seconds)

• Chapter 22：Bayes rule (2 minutes and 7 seconds)

• Chapter 23：Bayesian network (1 minutes and 52 seconds)

• Chapter 24：Bayesian Network Answers (24 seconds)

• Chapter 25：Machine Learning and Data Science (28 seconds)

• Chapter 26：What is a data scientist? (25 seconds)

• Chapter 27：What is a data scientist? II (54 seconds)

• Chapter 28：What do data scientists do? (38 seconds)

• Chapter 29：Pi Chuan - What is data science? (43 seconds)

• Chapter 30：Essential skills for a data scientist (1 minutes and 13 seconds)

• Chapter 31：Problems solved by data science (2 minutes and 39 seconds)

• Chapter 32：From artificial intelligence to machine learning (49 seconds)

• Chapter 33：Introduction (2 minutes and 38 seconds)

• Chapter 34：Introduction - Part 2 (1 minutes and 8 seconds)

• Chapter 35：Georgia Tech Machine Learning Course (21 seconds)

• Chapter 36：Definition of machine learning (2 minutes and 45 seconds)

• Chapter 37：supervised learning (2 minutes and 2 seconds)

• Chapter 38：reinforcement learning (4 minutes and 4 seconds)

• Chapter 39：Induction and Deduction (3 minutes and 12 seconds)

• Chapter 40：Induction, deduction and abduction (5 minutes and 13 seconds)

• Chapter 41：unsupervised learning (4 minutes and 23 seconds)

• Chapter 42：Practical applications of machine learning (37 seconds)

• Chapter 43：Stanley Darpa Super Challenge (1 minutes and 33 seconds)

• Chapter 44：Current Issues in Healthcare (1 minutes and 25 seconds)

• Chapter 45：Cognitive Computing: Modern Applications (4 minutes and 51 seconds)

• Chapter 46：Introduction (1 minutes and 31 seconds)

• Chapter 47：Basic elements (24 seconds)

• Chapter 48：taxonomy (3 minutes and 47 seconds)

• Chapter 49：supervised learning (3 minutes and 12 seconds)

• Chapter 50：Supervised Learning Answers (2 minutes and 44 seconds)

• Chapter 51：Spam detection (4 minutes and 15 seconds)

• Chapter 52：Spam detection answers (28 seconds)

• Chapter 53：Classification and regression (2 minutes and 4 seconds)

• Chapter 54：Classification and Regression Answers (26 seconds)

• Chapter 55：linear regression (2 minutes and 46 seconds)

• Chapter 56：Linear regression answers (1 minutes and 17 seconds)

• Chapter 57：More Linear Regression (1 minutes and 0 seconds)

• Chapter 58：Summary of basic knowledge (34 seconds)

• Chapter 59：Introduction to model evaluation and validation (29 seconds)

• Chapter 60：Model evaluation - what you will see (25 seconds)

• Chapter 61：Model Evaluation - What You Will Learn (34 seconds)

• Chapter 62：Model Assessment - What You Will Do (32 seconds)

• Chapter 63：Prerequisites (57 seconds)

• Chapter 64：Which major? (43 seconds)

• Chapter 65：Which major? Answer (36 seconds)

• Chapter 66：Describe data with a number (50 seconds)

• Chapter 67：Mode answer of the data set (7 seconds)

• Chapter 68：Which number to choose? (25 seconds)

• Chapter 69：mode of distribution (15 seconds)

• Chapter 70：mode of data set (17 seconds)

• Chapter 71：Mode - Negatively skewed distribution (22 seconds)

• Chapter 72：Mode - Negatively Skewed Distribution Answers (4 seconds)

• Chapter 73：Mode - uniform distribution (29 seconds)

• Chapter 74：Mode - Uniform Distribution Answers (9 seconds)

• Chapter 75：More than one mode? (15 seconds)

• Chapter 76：More than one mode? Answer (17 seconds)

• Chapter 77：mode of categorical data (11 seconds)

• Chapter 78：Mode answer for categorical data (12 seconds)

• Chapter 79：More information on the multitude! (32 seconds)

• Chapter 80：More information on the multitude! Answer (2 minutes and 52 seconds)

• Chapter 81：find the mean (47 seconds)

• Chapter 82：Find the mean answer (14 seconds)

• Chapter 83：Steps to find the mean (28 seconds)

• Chapter 84：Steps to find the mean answer (33 seconds)

• Chapter 85：Iteration process (11 seconds)

• Chapter 86：iterative process answers (26 seconds)

• Chapter 87：useful symbols (2 minutes and 43 seconds)

• Chapter 88：properties of mean (46 seconds)

• Chapter 89：properties of mean answers (2 minutes and 29 seconds)

• Chapter 90：Mean with outliers (11 seconds)

• Chapter 91：Mean answer with outliers (7 seconds)

• Chapter 92：How much salary can you expect? (13 seconds)

• Chapter 93：How much salary can you expect? Answer (28 seconds)

• Chapter 94：University of North Carolina (49 seconds)

• Chapter 95：Median requirements (32 seconds)

• Chapter 96：Median Required Answers (1 seconds)

• Chapter 97：find the median (8 seconds)

• Chapter 98：Find the median answer (1 minutes and 4 seconds)

• Chapter 99：Median with outliers (32 seconds)

• Chapter 100：Median answer with outliers (6 seconds)

• Chapter 101：Find the median with outliers (33 seconds)

• Chapter 102：Find the median answer with outliers (21 seconds)

• Chapter 103：center measurement (1 minutes and 20 seconds)

• Chapter 104：Sort center measurements 1 (54 seconds)

• Chapter 105：Sorting Center Measurements 1 Answer (30 seconds)