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  • Time Series Forecasting Using Foundation Models

    How to build high accuracy predictive models

    Make accurate time series predictions with powerful pretrained foundation models!You don’t need to spend weeks—or even months—coding and training your own models for time series forecasting. Time Series Forecasting Using Foundation Models shows you how to make accurate predictions using flexible pretrained models.In Time Series Forecasting Using Foundation Models you will discover:The inner ... Leer más

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  • Time Series Forecasting in Python

    Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting.In Time Series Forecasting in Python you will learn how to:Recognize a time series forecasting problem and build a performant predictive modelCreate univariate forecasting models that account for seasonal effects and external variablesBuild ... Leer más

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  • Artificial Intelligence in Finance

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    The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets ... Leer más

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  • Mastering Python for Finance

    Implement advanced state-of-the-art financial statistical applications using Python

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  • Machine Learning for Time-Series with Python

    Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

    de Ben Auffarth ...
    Get better insights from time-series data and become proficient in model performance analysisKey FeaturesExplore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time series via real-world case studies on operations management, digital ... Leer más

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  • Python for Finance Cookbook

    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 ... Leer más

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  • R Statistics Cookbook

    Over 100 recipes for performing complex statistical operations with R 3.5

    Solve real-world statistical problems using the most popular R packages and techniquesKey FeaturesLearn how to apply statistical methods to your everyday research with handy recipesFoster your analytical skills and interpret research across industries and business verticalsPerform t-tests, chi-squared tests, and regression analysis using modern statistical techniquesBook DescriptionR is a popular ... Leer más

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  • Hands-On Machine Learning for Algorithmic Trading

    Design and implement investment strategies based on smart algorithms that learn from data using Python

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  • Learning Quantitative Finance with R

    Implement machine learning, time-series analysis, algorithmic trading and more

    Get the most out of R to solve your real-world quantitative finance problems with easeKey Features\[\*\] Understand the basics of R and how they can be applied in various Quantitative Finance scenarios\[\*\] Learn various algorithmic trading techniques and ways to optimize them using the tools available in R.\[\*\] Contain different methods to manage risk and explore trading using Machine Learning ... Leer más

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  • Hands-On Time Series Analysis with R

    Perform time series analysis and forecasting using R

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    Build efficient forecasting models using traditional time-series models and machine learning algorithms.Key FeaturesPerform time-series analysis and forecasting using R packages such as forecast and h2oDevelop models and find patterns to create visualizations using the TSstudio and plotly packagesLearn statistics and implement time-series methods with the help of examplesBook DescriptionTime ... Leer más

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  • Python for Finance Cookbook

    Over 50 recipes for applying modern Python libraries to financial data analysis

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    Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandasKey FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook DescriptionPython ... Leer más

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