course-machine-learning-introduction#01-basics#03-regression-classification

course-machine-learning-introduction#01-basics#03-regression-classification#recipe

Supervised Learning with Regression and Classification

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Supervised Learning: Input Data

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Predictors

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Outcome Variable

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Quiz: Predictors and outcome variables

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Regression vs. Classification

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Regression vs. Classification Example

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Quiz: House Price

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Quiz: Flight ticket

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Quiz: Dog Breeds

Learn machine learning fundamentals including use cases and different learning techniques. Differentiate between regression and classification.

Machine Learning Level 1

course-machine-learning-introduction#01-basics

course-machine-learning-introduction#01-basics#01-what-is-machine-learning

course-machine-learning-introduction#01-basics#01-what-is-machine-learning#recipe

What is Machine Learning?

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Artificial Intelligence

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Machine Learning

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Deep Learning

course-machine-learning-introduction#01-basics#01-what-is-machine-learning#quiz-1

Quiz: AI, ML and Deep Learning Facts

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Popular Use Cases

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Use Case: Search Engines and Recommender Systems

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Use Case: Machine Translation

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Use Case: Music Identification and Speech Recognition

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Use Case: Self driving cars

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Quiz: Automatic Email Reply

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Quiz: Facial Recognition

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Quiz: Sentence Autocomplete

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Quiz: Password Manager

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course-machine-learning-introduction#01-basics#02-learning-techniques#recipe

Machine Learning Techniques

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Supervised Learning

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Supervised Learning: Goal

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Quiz: Supervised Learning Facts

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Quiz: Estimated Rent Costs

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Unsupervised Learning

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Unsupervised Learning: Example

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Quiz: Unsupervised Learning Facts

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Quiz: Wine Clustering

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Quiz: Cluster New Observation

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Reinforcement Learning

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Reinforcement Learning: Example

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Quiz: Reinforcement Learning Facts

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Quiz: Personalized Music Playlist

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Quiz: Storage Cost Optimization

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Quiz: Alpha Go

Machine Learning Techniques: Supervised-, unsupervised- and reinforcement learning

Start your Machine Learning journey and learn the most fundamental building blocks.

Machine Learning Essentials

Introduction to Machine Learning

Within the supervised learning domain we differentiate between regression and classification models. The specific model we are dealing with depends on the data type of the outcome variable. If the variable to be predicted is a continuous (such as <code>numeric</code>), we speak of a regression model. If the variable is a categorical <code>factor</code> we have a classification problem.

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What is Machine Learning?

Machine Learning Techniques

Supervised Learning with Regression and Classification

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