Catalog Search Results
Author
Pub. Date
October 2018.
Language
English
Description
"Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process"--Page 4 of cover.
Series
Pub. Date
[2019]
Language
English
Description
AI and data analytics are powering a wave of technological innovations--understand them, cut through the hype, and seize the opportunities. If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you see how these new technologies fit together, understand what's coming next, and prepare your...
Author
Pub. Date
2017.
Language
English
Description
We are Data" explores what identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it. Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge...
Author
Pub. Date
[2017]
Language
English
Description
Hidden from consumers, patient medical data has become a multibillion-dollar worldwide trade between our health-care providers, drug companies, and a complex web of middlemen. This great medical-data bazaar sells copies of our prescriptions, hospital records, insurance claims, blood-test results, and more, stripped of names but still containing identifiers such as year of birth, gender, and doctor. As computing grows ever more sophisticated, patient...
Author
Pub. Date
2018.
Language
English
Description
"Mine the rich data tucked away in popular social websites like Twitter, Facebook, LinkedIn, Instagram, and GitHub. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media--who's connecting with whom, what they're talking about, and where they're located--using Python code examples, Jupyter notebooks, or Docker containers."--Back cover.
Author
Pub. Date
2019.
Language
English
Description
Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories--increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination,...
Author
Series
Pub. Date
[2019]
Language
English
Description
"Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the "what" and the "why" of data science and covering what it takes to lead and nurture a top-notch team of data scientists."--Amazon.
Didn't find it?
Can't find what you are looking for? Try our Materials Request Service. Submit Request