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F# for Machine Learning Essentials

You're reading from   F# for Machine Learning Essentials Get up and running with machine learning with F# in a fun and functional way

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781783989348
Length 194 pages
Edition 1st Edition
Languages
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Author (1):
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Sudipta Mukherjee Sudipta Mukherjee
Author Profile Icon Sudipta Mukherjee
Sudipta Mukherjee
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Table of Contents (9) Chapters Close

Preface 1. Introduction to Machine Learning FREE CHAPTER 2. Linear Regression 3. Classification Techniques 4. Information Retrieval 5. Collaborative Filtering 6. Sentiment Analysis 7. Anomaly Detection Index

Machine learning for fun and profit

Machine learning requires a lot of data and most of the time you, as the developer of an algorithm, will not have the time to synthesize or obtain good data. However, you are in luck. Kaggle does that for you. Kaggle is a website where companies host several machine learning problems and they provide training and test data to test your algorithm. Some competitions are linked with employment. So if your model stands out, you stand a chance to interview with the company that hosted the competition. Here is a short list of companies that are using kaggle for their data science/machine learning problems:

Machine learning for fun and profit

The next section gets you started with a kaggle competition; getting the data and solving it.

You have been reading a chapter from
F# for Machine Learning Essentials
Published in: Feb 2016
Publisher:
ISBN-13: 9781783989348
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