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Quant Developers' Tools and Techniques

Quant Books, #1

af Manfred Hindering ...

Serier Bog 1 - Quant Books
QUANT DEVELOPERS' TOOLS AND TECHNIQUES SeriesIs a comprehensive series of books enabling QUANT Developers to succeed in this ever changing and challenging line of business.The book series is intended for finance professionals, such as controllers, equity analysts, quantitative developers, data scientists, programmers, and everybody interested in trading and winning in the financial markets.If you ... Læs mere

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QUANT DEVELOPERS' TOOLS AND TECHNIQUES SeriesIs a comprehensive series of books enabling QUANT Developers to succeed in this ever changing and challenging line of business.The book series is intended for finance professionals, such as controllers, equity analysts, quantitative developers, data scientists, programmers, and everybody interested in trading and winning in the financial markets.If you
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Quant Developers' Tools and Techniques

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af Manfred Hindering ...

Serier Bog 2 - Quant Books
QUANT DEVELOPERS' TOOLS AND TECHNIQUES SeriesIs a comprehensive series of books enabling QUANT Developers to succeed in this ever changing and challenging line of business.The book series is intended for finance professionals, such as controllers, equity analysts, quantitative developers, data scientists, programmers, and everybody interested in trading and winning in the financial markets.If you ... Læs mere

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Statistics for Machine Learning

Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

af Pratap Dangeti ...

Build Machine Learning models with a sound statistical understanding.Key FeaturesLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and ... Læs mere

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Leverage the power of Python to clean, scrape, analyze, and visualize your dataAbout This BookClean, format, and explore your data using the popular Python libraries and get valuable insights from itAnalyze big data sets; create attractive visualizations; manipulate and process various data types using NumPy, SciPy, and matplotlib; and morePacked with easy-to-follow examples to develop advanced ... Læs mere

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Over 80 powerful recipes for effective financial data analysis, 2nd Edition

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Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problemsPurchase of the print or Kindle book includes a free eBook in the PDF formatKey FeaturesExplore unique recipes for financial data processing and analysis with PythonApply classical and machine learning approaches to financial time series ... Læs mere

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Personer, der læser disse, syntes også om...

Statistics for Machine Learning

Python: End-to-end Data Analysis

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