Getting Started With Deep Learning: Working With Data

Learn the ways in which data comes in many forms and formats with the second lesson in the Data and Machine Learning series.

Traditionally, machine learning has worked really well with structured data but is not as efficient in solving problems with unstructured data. Deep learning works very well with both structured and unstructured data, and it has had successes in fields like translation, and image classification, and many others. Learn and study how to explain the reasons deep learning is so popular. With many different data types, learn about its different formats, and we'll analyze the vital libraries that allow us to explore and organize data. 

This lesson is made up of 8 lectures, accompanied by 5 engaging exercises along with their solutions. This lesson is part of the Data and Machine Learning courses from Cloud Academy.

 Learning Objectives

• Learn and understand the functions of machine learning when confronted with structured and unstructured data
• Be able to explain the importance of deep learning

Prerequisites

• It would be recommended to complete the Introduction to Data and Machine Learning lesson, before starting.

Resources

The Github repo for this lesson, including code and datasets, can be found here.