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

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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

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

Machine Learning Level 1

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

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

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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

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

Machine Learning Essentials

Introduction to Machine Learning

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Audio analysis is a field of its own in machine learning. One common tool in this field is is to transform audio signals into frequency components. In case of music records, the composition of these frequency components is so unique, that we can define so called fingerprints for each song. This enables music identification applications such as Shazam, that can accurately identify and match songs based on a sample of just a few seconds long. Similarly, speech recognition applications can easily identify spoken words and convert them into written language.

What is Machine Learning?

Machine Learning Techniques

Supervised Learning with Regression and Classification

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