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Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as...
Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project
Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project

Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more.

The ability to analyze massive amounts of real-time data and predict...

Exploring Abstract Algebra With Mathematica®
Exploring Abstract Algebra With Mathematica®
This upper-division laboratory supplement for courses in abstract algebra consists of several Mathematica packages programmed as a foundation for group and ring theory. Additionally, the "user's guide" illustrates the functionality of the underlying code, while the lab portion of the book reflects the contents of the...
Uproar: Calm Leadership in Anxious Times
Uproar: Calm Leadership in Anxious Times
If “these are the times that test men’s souls,” never more than for the leader’s ability to think clearly, to be present calmly, and to challenge effectively. It’s a time when leaders cannot be as anxious as those they serve; otherwise, the system is leaderless. Anxiety flows down like water from a leaky...
Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More

Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re...

 
   
   
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