Book Image

Data Analysis with Python

By : David Taieb
Book Image

Data Analysis with Python

By: David Taieb

Overview of this book

Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you’re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence.
Table of Contents (16 chapters)
Data Analysis with Python
Contributors
Preface
Other Books You May Enjoy
3
Accelerate your Data Analysis with Python Libraries
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:

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 design is actually...