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Machine Learning Projects for .Net Developers


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Table of Contents

Chapter 1: 256 Shades of Gray: Building A Program to Automatically Recognize Images of NumbersChapter 2: Spam or Ham? Detecting Spam in Text Using Bayes' TheoremChapter 3: The Joy of Type Providers: Finding and Preparing Data, From AnywhereChapter 4: Of Bikes and Men: Fitting a Regression Model to Data with Gradient DescentChapter 5: You Are Not An Unique Snowflake: Detecting Patterns with Clustering and Principle Component AnalysisChapter 6: Trees and Forests: Making Predictions from Incomplete Data Chapter 7: A Strange Game: Learning From Experience with Reinforcement LearningChapter 8: Digits, Revisited: Optimizing and Scaling Your Algorithm CodeChapter 9: Conclusion

About the Author

Mathias Brandewinder is a Microsoft MVP for F# based in San Francisco, California. An unashamed math geek, he became interested early on in building models to help others make better decisions using data. He collected graduate degrees in Business, Economics and Operations Research, and fell in love with programming shortly after arriving in the Silicon Valley. He has been developing software professionally since the early days of .NET, developing business applications for a variety of industries, with a focus on predictive models and risk analysis.

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