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The Machine Learning Process
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Classroom Contents
Amazon Machine Learning to Predict Responses
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- 1 Intro
- 2 About Me
- 3 General Uses of Machine Learning
- 4 When to Use Machine Learning
- 5 What Machine Learning is Not
- 6 When NOT to Use Machine Learning
- 7 Predictive Policing
- 8 Study by University of Pennsylvania
- 9 United Kingdom (UK) Metropolitan Police
- 10 Pittsburgh, Pennsylvania Police Department
- 11 Chicago Police Department (CPD)
- 12 How Machines Learn
- 13 Binary
- 14 Multiclass
- 15 Regression
- 16 Unsupervised Learning
- 17 Answerable Questions
- 18 Reinforcement Learning
- 19 The Machine Learning Process
- 20 Obtain Data
- 21 Crime Conclusions Based on Analysis
- 22 Prepare & Load Data
- 23 Prepare Data
- 24 Sample Data Observation
- 25 Lessons Learned
- 26 Load the Data
- 27 Create Datasource
- 28 Datasource Mapping Exercise
- 29 Datasource Created
- 30 Sanity Check Data (cont.)
- 31 Create (Train) Model (cont.)
- 32 Learning Algorithm
- 33 Linear Models
- 34 Enable the Model for Predictions
- 35 Enable Model for Real-Time Predictions
- 36 SAM Front End
- 37 Main Event Handler
- 38 Preparing the Response
- 39 Retrieving Crime Prediction
- 40 Test Results from Lambda Console
- 41 Deleting a Real-Time Endpoint
- 42 Things to Note
- 43 Machine Blas
- 44 Future of Machine Learning
