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  • Soccer Analytics

    An Introduction Using R

    by Clive Beggs ...
    Series series Chapman & Hall/CRC Data Science Series
    Sports analytics is on the rise, with top soccer clubs, bookmakers, and broadcasters all employing statisticians and data scientists to gain an edge over their competitors.Many popular books have been written exploring the mathematics of soccer. However, few supply details on how soccer data can be analysed in real-life. The book addresses this issue via a practical route one approach designed to ... Read more

    $73.99 USD

  • Energy: Management, Supply and Conservation

    Energy – its source, security, price, and the efficiency of its use, are increasingly important issues for a diverse range of people.'Energy: Management, Supply and Conservation' is a comprehensive text dealing with the theory and practice of the supply of energy, energy management and auditing, and the design of sustainable energy facilities. It considers the systems needed to create low-energy, ... Read more

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    Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

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    Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading ... Read more

    $41.79 USD or Free with Kobo Plus

  • Machine Learning for Time-Series with Python

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

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    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 ... Read more

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  • Data Mining and Statistics for Decision Making

    Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover ... Read more

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  • Modern Time Series Forecasting with Python

    Explore industry-ready time series forecasting using modern machine learning and deep learning

    by Manu Joseph ...
    Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning conceptsKey FeaturesExplore industry-tested machine learning techniques used to forecast millions of time seriesGet started with the revolutionary paradigm of global forecasting modelsGet to grips with new concepts by applying them to real-world datasets of ... Read more

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  • Modern Time Series Forecasting with Python

    Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas

    Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architectures Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\* Key FeaturesApply ML and global models to improve forecasting accuracy through practical ... Read more

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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

    by Stefan Jansen ...
    Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and KerasKey FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design process to apply probabilistic machine learning approaches to trading decisionsDevelop neural networks for algorithmic trading to perform time series ... Read more

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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 ... Read more

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  • Generative AI for Trading and Asset Management

    Expert guide on using AI to supercharge traders' productivity, optimize portfolios, and suggest new trading strategiesGenerative AI for Trading and Asset Management is an essential guide to understand how generative AI has emerged as a transformative force in the realm of asset management, particularly in the context of trading, due to its ability to analyze vast datasets, identify intricate ... Read more

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  • R for Everyone

    Advanced Analytics and Graphics

    by Jared Lander ...
    Series series Addison-Wesley Data & Analytics Series
    Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other ProfessionalsUsing the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution ... Read more

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  • The Art of Machine Learning

    A Hands-On Guide to Machine Learning with R

    Learn to expertly apply a range of machine learning methods to real data with this practical guide.Packed with real datasets and practical examples, The Art of Machine Learning will help you develop an intuitive understanding of how and why ML methods work, without the need for advanced math.As you work through the book, you’ll learn how to implement a range of powerful ML techniques, starting ... Read more

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