This training course teaches analysts how to go beyond the basics of Mathematica 10 and start analyzing financial data, applying machine-learning algorithms, predicting and classifying data using linear and logistic regression, and analyzing relationships on social networks. Author Curt Frye also shows how to display maps, investigate data about different countries and time periods, visualize random data, and gain better insights from text. Using these techniques, you’ll have the power and flexibility you need to dive deep into the information at hand and make good decisions for your organization.
LEVEL – Advanced
COURSE TOPICS:
Generating maps
Displaying statistical data about countries and cities
Displaying changes in stock prices
Calculating exchange rates
Counting links in a social network
Calculating reciprocity
Applying machine-learning algorithms
Analyzing text data
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LEARN THIS COURSE FOR FREE *10 days of free unlimited access to “Mathematica 10 Advanced Analysis”
Instructor’s Welcome Note:
(chimes) – Hi, I’m Curt Frye. Welcome to Mathematica 10 Advanced Analysis. In this course I’ll show you how to use Mathematica to perform important analyses on your data. I’ll start by showing you how to display maps of countries, discover data about people and historical eras, and visualize stock data using candlestick charts. Next I’ll show you how to determine the time value of money. Chapter four shows you how to start doing social network analysis by generating random graphs, identify cliques within social network data.
Finally, chapter five demonstrates how to apply machine learning techniques such as LinearRegression and data classification, while chapter six intriduces Mathematica’s text analysis capabilities. I’m sure you’ll find that your time with Mathematica 10 Advanced Analysis will be time well spent. Dive right in.
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