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Definition of machine learning
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Playlist
Chapters
Chapter 1:Welcome to the Machine Learning Course
Chapter 2:Similarities and Differences between Machine Learning and Traditional Programming
Chapter 3:Machine learning is everywhere the answer
Chapter 4:Machine learning is everywhere
Chapter 5:Study project introduction
Chapter 6:Get started with machine learning
Chapter 7:Introduction to artificial intelligence
Chapter 8:Artificial Intelligence Difficulties
Chapter 9:Characteristics of artificial intelligence problems
Chapter 10:Artificial Intelligence and Uncertainty
Chapter 11:What are the artificial intelligence problems?
Chapter 12:What are the artificial intelligence problems? Answer
Chapter 13:Artificial intelligence in action: Watson
Chapter 14:Artificial Intelligence in Action: Watson Answers
Chapter 15:What is knowledge-based artificial intelligence?
Chapter 16:Basic knowledge: four schools of artificial intelligence
Chapter 17:What is knowledge-based artificial intelligence? 2
Chapter 18:What is knowledge-based artificial intelligence? Answer
Chapter 19:Four schools of artificial intelligence
Chapter 20:Answers to the Four Schools of Artificial Intelligence
Chapter 21:Introduction to Bayesian Formula
Chapter 22:Bayes rule
Chapter 23:Bayesian network
Chapter 24:Bayesian Network Answers
Chapter 25:Machine Learning and Data Science
Chapter 26:What is a data scientist?
Chapter 27:What is a data scientist? II
Chapter 28:What do data scientists do?
Chapter 29:Pi Chuan - What is data science?
Chapter 30:Essential skills for a data scientist
Chapter 31:Problems solved by data science
Chapter 32:From artificial intelligence to machine learning
Chapter 33:Introduction
Chapter 34:Introduction - Part 2
Chapter 35:Georgia Tech Machine Learning Course
Chapter 36:Definition of machine learning
Chapter 37:supervised learning
Chapter 38:reinforcement learning
Chapter 39:Induction and Deduction
Chapter 40:Induction, deduction and abduction
Chapter 41:unsupervised learning
Chapter 42:Practical applications of machine learning
Chapter 43:Stanley Darpa Super Challenge
Chapter 44:Current Issues in Healthcare
Chapter 45:Cognitive Computing: Modern Applications
Chapter 46:Introduction
Chapter 47:Basic elements
Chapter 48:taxonomy
Chapter 49:supervised learning
Chapter 50:Supervised Learning Answers
Chapter 51:Spam detection
Chapter 52:Spam detection answers
Chapter 53:Classification and regression
Chapter 54:Classification and Regression Answers
Chapter 55:linear regression
Chapter 56:Linear regression answers
Chapter 57:More Linear Regression
Chapter 58:Summary of basic knowledge
Chapter 59:Introduction to model evaluation and validation
Chapter 60:Model evaluation - what you will see
Chapter 61:Model Evaluation - What You Will Learn
Chapter 62:Model Assessment - What You Will Do
Chapter 63:Prerequisites
Chapter 64:Which major?
Chapter 65:Which major? Answer
Chapter 66:Describe data with a number
Chapter 67:Mode answer of the data set
Chapter 68:Which number to choose?
Chapter 69:mode of distribution
Chapter 70:mode of data set
Chapter 71:Mode - Negatively skewed distribution
Chapter 72:Mode - Negatively Skewed Distribution Answers
Chapter 73:Mode - uniform distribution
Chapter 74:Mode - Uniform Distribution Answers
Chapter 75:More than one mode?
Chapter 76:More than one mode? Answer
Chapter 77:mode of categorical data
Chapter 78:Mode answer for categorical data
Chapter 79:More information on the multitude!
Chapter 80:More information on the multitude! Answer
Chapter 81:find the mean
Chapter 82:Find the mean answer
Chapter 83:Steps to find the mean
Chapter 84:Steps to find the mean answer
Chapter 85:Iteration process
Chapter 86:iterative process answers
Chapter 87:useful symbols
Chapter 88:properties of mean
Chapter 89:properties of mean answers
Chapter 90:Mean with outliers
Chapter 91:Mean answer with outliers
Chapter 92:How much salary can you expect?
Chapter 93:How much salary can you expect? Answer
Chapter 94:University of North Carolina
Chapter 95:Median requirements
Chapter 96:Median Required Answers
Chapter 97:find the median
Chapter 98:Find the median answer
Chapter 99:Median with outliers
Chapter 100:Median answer with outliers
Chapter 101:Find the median with outliers
Chapter 102:Find the median answer with outliers
Chapter 103:center measurement
Chapter 104:Sort center measurements 1
Chapter 105:Sorting Center Measurements 1 Answer
Duration:2 minutes and 45 seconds
Date:2020/04/27
Uploader:Lemontree
Introduction
keywords:
Machine Learning
Examples explain supervised learning, unsupervised learning, and reinforcement learning
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