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Scala Machine Learning Projects

You're reading from   Scala Machine Learning Projects Build real-world machine learning and deep learning projects with Scala

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788479042
Length 470 pages
Edition 1st Edition
Languages
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Author (1):
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Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
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Table of Contents (13) Chapters Close

Preface 1. Analyzing Insurance Severity Claims 2. Analyzing and Predicting Telecommunication Churn FREE CHAPTER 3. High Frequency Bitcoin Price Prediction from Historical and Live Data 4. Population-Scale Clustering and Ethnicity Prediction 5. Topic Modeling - A Better Insight into Large-Scale Texts 6. Developing Model-based Movie Recommendation Engines 7. Options Trading Using Q-learning and Scala Play Framework 8. Clients Subscription Assessment for Bank Telemarketing using Deep Neural Networks 9. Fraud Analytics Using Autoencoders and Anomaly Detection 10. Human Activity Recognition using Recurrent Neural Networks 11. Image Classification using Convolutional Neural Networks 12. Other Books You May Enjoy

Bitcoin, cryptocurrency, and online trading

Bitcoin, the first cryptocurrency by date of launch and by market cap (as of December2017) has attracted investors and traders because of its ease of starting trading, ability to stay pseudo-anonymous, and, of course, dramatic growth during its history (see Table 1 and Figure 1 for some statistics). This lures long-term investors; its high volatility also attracts day traders.

However, it's hard predict the value of Bitcoin in the long term, as the value behind Bitcoin is less tangible. The price mostly reflects market perception and is highly dependent on news, regulations, collaboration of governments and banks, technical issues of the platform (such as transactions fee and block size), interest of institutional investors in including Bitcoin into their portfolio, and more:

Figure 1: Bitcoin and its dramatic price increases...
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