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Machine learning for innovation
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Created on November 12, 2020
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Transcript
Structure Discovery
Customer Retention
Meaningful compression
Image Classification
Dimensionality Reduction
Classification
Feature Elicitation
Big data visualization
Identity Fraud Detection
Diagnostics
Recommender Systems
Unsupervised Learning
Supervised Learning
Clustering
Advertising Popularity Prediction
Regression
Weather Forecasting
Machine Learning
Targetted Marketing
Customer Segmentation
Market Forecasting
Estimating life expectancy
Real time decisions
Game AI
Reinforcement Learning
Skill Acquisition
Robot Navigation
Learning Tasks
Structure Discovery
Customer Retention
Meaningful compression
Image Classification
Dimensionality Reduction
Classification
Feature Elicitation
Big data visualization
Identity Fraud Detection
Diagnostics
Recommender Systems
Unsupervised Learning
Supervised Learning
Clustering
Advertising Popularity Prediction
Regression
Weather Forecasting
Machine Learning
Targetted Marketing
Customer Segmentation
Market Forecasting
Estimating life expectancy
Real time decisions
Game AI
Reinforcement Learning
Skill Acquisition
Robot Navigation
Learning Tasks
Structure Discovery
Customer Retention
Meaningful compression
Image Classification
Dimensionality Reduction
Classification
Feature Elicitation
Big data visualization
Identity Fraud Detection
Diagnostics
Recommender Systems
Unsupervised Learning
Supervised Learning
Clustering
Advertising Popularity Prediction
Regression
Weather Forecasting
Machine Learning
Clustering: subclass of unsupervised learning where a model groups similar observations together
Targetted Marketing
Customer Segmentation
Customer Segmentation
Market Forecasting
Estimating life expectancy
Real time decisions
Game AI
Reinforcement Learning
Skill Acquisition
Robot Navigation
Learning Tasks
Structure Discovery
Customer Retention
Meaningful compression
Image Classification
Dimensionality reduction: subclass of unsupervised learning where a model will encode data in a smaller version
Dimensionality Reduction
Classification
Feature Elicitation
Big data visualization
Identity Fraud Detection
Diagnostics
Recommender Systems
Unsupervised Learning
Supervised Learning
Clustering
Advertising Popularity Prediction
Regression
Weather Forecasting
Machine Learning
Targetted Marketing
Customer Segmentation
Market Forecasting
Estimating life expectancy
Real time decisions
Game AI
Reinforcement Learning
Skill Acquisition
Robot Navigation
Learning Tasks
Structure Discovery
Customer Retention
Meaningful compression
Image Classification
Dimensionality Reduction
Classification
Classification: subclass of supervised learning where a model will predict a discrete outcome (limited number of possible values)
Feature Elicitation
Big data visualization
Identity Fraud Detection
Diagnostics
Recommender Systems
Unsupervised Learning
Supervised Learning
Clustering
Advertising Popularity Prediction
Regression
Weather Forecasting
Machine Learning
Targetted Marketing
Customer Segmentation
Market Forecasting
Estimating life expectancy
Real time decisions
Game AI
Reinforcement Learning
Skill Acquisition
Robot Navigation
Learning Tasks
Structure Discovery
Customer Retention
Meaningful compression
Image Classification
Dimensionality Reduction
Classification
Feature Elicitation
Big data visualization
Identity Fraud Detection
Diagnostics
Recommender Systems
Unsupervised Learning
Supervised Learning
Clustering
Advertising Popularity Prediction
Regression
Weather Forecasting
Machine Learning
Targetted Marketing
Customer Segmentation
Market Forecasting
Regression: subclass of supervised learning where a model will predict a continuous outcome (infinite number of possible values)
Estimating life expectancy
Real time decisions
Game AI
Reinforcement Learning
Skill Acquisition
Robot Navigation
Learning Tasks