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You're reading from  Practical Machine Learning Cookbook

Product typeBook
Published inApr 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781785280511
Edition1st Edition
Languages
Python
Tools
Apache Spark
Concepts
Machine Learning
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Author (1)
Atul Tripathi
Atul Tripathi
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Atul Tripathi

Atul Tripathi has spent more than 11 years in the fields of machine learning and quantitative finance. He has a total of 14 years of experience in software development and research. He has worked on advanced machine learning techniques, such as neural networks and Markov models. While working on these techniques, he has solved problems related to image processing, telecommunications, human speech recognition, and natural language processing. He has also developed tools for text mining using neural networks. In the field of quantitative finance, he has developed models for Value at Risk, Extreme Value Theorem, Option Pricing, and Energy Derivatives using Monte Carlo simulation techniques.
Read more about Atul Tripathi

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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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Practical Machine Learning Cookbook
Published in: Apr 2017Publisher: PacktISBN-13: 9781785280511
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Atul Tripathi

Atul Tripathi has spent more than 11 years in the fields of machine learning and quantitative finance. He has a total of 14 years of experience in software development and research. He has worked on advanced machine learning techniques, such as neural networks and Markov models. While working on these techniques, he has solved problems related to image processing, telecommunications, human speech recognition, and natural language processing. He has also developed tools for text mining using neural networks. In the field of quantitative finance, he has developed models for Value at Risk, Extreme Value Theorem, Option Pricing, and Energy Derivatives using Monte Carlo simulation techniques.
Read more about Atul Tripathi

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