Data Science Lecture 4: Introduction to Deep Learning

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Deep learning can ingest and process ______ data, like text and images

unstructured

In machine learning, this hierarchy of features is established manually by a ______ expert

human

Deep Learning learns features directly from the ______

data

Deep learning model would require more data points to improve its ______

accuracy Signup and view all the answers

Since deep-learning algorithms require a tonne of data to learn from, this increase in data creation is one ______

reason Signup and view all the answers

Deep learning is a neural network with ______ or more layers.

three Signup and view all the answers

Deep learning attempts to simulate the behavior of the ______.

human brain Signup and view all the answers

Deep learning is a sub-field of ______.

Machine Learning Signup and view all the answers

Deep learning distinguishes itself from classical machine learning by the type of data it works with and the methods in which it ______.

learns Signup and view all the answers

Machine learning algorithms leverage structured, labeled data to make ______.

predictions Signup and view all the answers

What distinguishes deep learning from classical machine learning?

The type of data it works with and the methods in which it learns. Signup and view all the answers

How does deep learning attempt to simulate the behavior of the human brain?

By developing large artificial neural networks with deep layers. Signup and view all the answers

What does machine learning leverage to make predictions?

Specific features defined from the input data. Signup and view all the answers

Why is deep learning popular compared to other machine learning techniques?

It can learn directly from the raw data without manual feature extraction. Signup and view all the answers

How do deep learning models differ from traditional machine learning models?

They can ingest and process various types of unstructured data like text and images. Signup and view all the answers

What is a key difference between deep learning and machine learning?

Deep learning uses unstructured data, while machine learning uses structured data. Signup and view all the answers

How does deep learning handle feature extraction compared to machine learning?

Deep learning eliminates the need for feature extraction, while machine learning relies on human experts for feature extraction. Signup and view all the answers

In what way does deep learning differ from machine learning in handling high dimensional data?

Deep learning requires more data points to improve accuracy when handling high dimensional data, while machine learning relies on less data points. Signup and view all the answers

What makes deep learning popular according to the text?

Deep learning automates the hierarchical feature extraction process. Signup and view all the answers

Why is deep learning able to ingest and process unstructured data like text and images?

Because deep learning automates feature extraction and eliminates dependency on human experts. Signup and view all the answers