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Practical Machine Learning Cookbook

You're reading from  Practical Machine Learning Cookbook

Product type Book
Published in Apr 2017
Publisher Packt
ISBN-13 9781785280511
Pages 570 pages
Edition 1st Edition
Languages
Author (1):
Atul Tripathi Atul Tripathi
Profile icon Atul Tripathi

Table of Contents (21) Chapters

Practical Machine Learning Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Machine Learning 2. Classification 3. Clustering 4. Model Selection and Regularization 5. Nonlinearity 6. Supervised Learning 7. Unsupervised Learning 8. Reinforcement Learning 9. Structured Prediction 10. Neural Networks 11. Deep Learning 12. Case Study - Exploring World Bank Data 13. Case Study - Pricing Reinsurance Contracts 14. Case Study - Forecast of Electricity Consumption

Hidden Markov models - regime detection


Standard & Poor's 500 Index (S&P 500) is an American Stock market index of 500 stocks. It is a leading indicator of US equities and reflects the performance of large-cap companies selected by economists. Experts, when determining the 500 stocks, consider factors that are included in the index, including market size, liquidity, and industry grouping. It is a market value-weighted index and one of the common benchmarks for the US stock market. Investment products based on the S&P 500 include index funds and exchange-traded funds are available to investors. Investors have a challenge replicating the S&P 500 since the portfolio would need stocks of 500 companies in ratio to the entire portfolio to replicate the index's market cap methodology. For investors it would be easier to purchase one of the S&P 500 investment products such as the Vanguard S&P 500 ETF, the SPDR S&P 500 ETF, or the Shares S&P 500 Index ETF.

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