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1 - 12 de 12 resultados para “seth berry”
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  • Models Demystified

    A Practical Guide from Linear Regression to Deep Learning

    de Michael Clark, Seth Berry ...
    Series series Chapman & Hall/CRC Data Science Series
    Unlock the Power of Data Science and Machine LearningIn this comprehensive guide, we delve into the world of data science, machinelearning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced machine learning algorithms, this book covers a wide range of topics,ensuring that readers at all levels ... Leer más

    $77.99 USD

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  • Machine Learning for Algorithmic Trading

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

    de Stefan Jansen ...
    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 ... Leer más

    $64.79 USD o gratis con Kobo Plus

  • Essential Math for Data Science

    Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

    de Thomas Nield ...
    Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those ... Leer más

    $41.99 USD

  • 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

    $41.99 USD o gratis con Kobo Plus

  • Causal Inference and Discovery in Python

    Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more

    de Aleksander Molak ...
    Demystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for observational and experimental data Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesExamine Pearlian causal concepts such as structural causal models, interventions, counterfactuals, and moreDiscover modern causal inference ... Leer más

    $39.99 USD o gratis con Kobo Plus

  • Data Analysis and Data Mining

    An Introduction

    de Adelchi Azzalini, Bruno Scarpa ...
    An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have ... Leer más

    $128.99 USD

  • Data Mining and Statistics for Decision Making

    de Stéphane Tufféry ...
    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 ... Leer más

    $93.00 USD

  • Fundamentals of Machine Learning for Predictive Data Analytics, second edition

    Algorithms, Worked Examples, and Case Studies

    de John D. Kelleher, Brian Mac Namee, Aoife D'Arcy ...
    The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and ... Leer más

    $49.99 USD

  • Modern Time Series Forecasting with Python

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

    de 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 ... Leer más

    $38.99 USD o gratis con Kobo Plus

  • Essential Statistics for Non-STEM Data Analysts

    Get to grips with the statistics and math knowledge needed to enter the world of data science with Python

    de Rongpeng Li ...
    Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data using Python programmingKey FeaturesWork your way through the entire data analysis pipeline with statistics concerns in mind to make reasonable decisionsUnderstand how various data science algorithms functionBuild a solid foundation in statistics for data ... Leer más

    $27.99 USD o gratis con Kobo Plus

  • Hands-On Machine Learning for Algorithmic Trading

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

    de 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 ... Leer más

    $43.99 USD o gratis con Kobo Plus

  • Generative AI for Trading and Asset Management

    de Hamlet Jesse Medina Ruiz, Ernest P. Chan ...
    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 ... Leer más

    $33.00 USD