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Data Analysis with Python

You're reading from   Data Analysis with Python A Modern Approach

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789950069
Length 490 pages
Edition 1st Edition
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Author (1):
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David Taieb David Taieb
Author Profile Icon David Taieb
David Taieb
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Table of Contents (14) Chapters Close

Preface 1. Programming and Data Science – A New Toolset FREE CHAPTER 2. Python and Jupyter Notebooks to Power your Data Analysis 3. Accelerate your Data Analysis with Python Libraries 4. Publish your Data Analysis to the Web - the PixieApp Tool 5. Python and PixieDust Best Practices and Advanced Concepts 6. Analytics Study: AI and Image Recognition with TensorFlow 7. Analytics Study: NLP and Big Data with Twitter Sentiment Analysis 8. Analytics Study: Prediction - Financial Time Series Analysis and Forecasting 9. Analytics Study: Graph Algorithms - US Domestic Flight Data Analysis 10. The Future of Data Analysis and Where to Develop your Skills A. PixieApp Quick-Reference Other Books You May Enjoy Index

What is deep learning?

Getting computers to learn, reason, and think (make decisions) is a science that is commonly called cognitive computing, of which machine learning and deep learning are a big part. The following Venn diagram shows how these fields are related to the overarching field of AI:

What is deep learning?

How deep learning fits in to AI

As the diagram suggests, deep learning is one type of machine learning algorithm. What is perhaps not widely known is that the field of deep learning has existed for quite some time, but hasn't really been widely used until very recently. The rekindling in interest is due to the extraordinary advances in computer, cloud, and storage technologies observed in the last few years that have fuelled exponential growth in AI with the development of many new deep learning algorithms, each best suited to solve a particular problem.

As we'll discuss later in this chapter, deep learning algorithms are especially good at learning complex non-linear hypotheses. Their...

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