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  • Causal Inference and Discovery in Python

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

    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

  • AI-Assisted Programming for Web and Machine Learning

    Improve your development workflow with ChatGPT and GitHub Copilot

    Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) models Purchase of the print or Kindle book includes a free PDF copyKey FeaturesUtilize prompts to enhance frontend and backend web developmentDevelop prompt strategies to build robust machine learning modelsUse GitHub Copilot for data ... Leer más

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  • Mastering TensorFlow 1.x

    Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

    Build, scale, and deploy deep neural network models using the star libraries in Python Key FeaturesDelve into advanced machine learning and deep learning use cases using Tensorflow and KerasBuild, deploy, and scale end-to-end deep neural network models in a production environmentLearn to deploy TensorFlow on mobile, and distributed TensorFlow on GPU, Clusters, and KubernetesBook ... Leer más

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  • Deep Learning Fundamentals in Python

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  • Elements of Causal Inference

    Foundations and Learning Algorithms

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    A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data.After explaining the ... Leer más

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  • The Handbook of Computational Linguistics and Natural Language Processing

    Series series Blackwell Handbooks in Linguistics
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  • Python: End-to-end Data Analysis

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  • Data Scientist Pocket Guide

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  • Artificial Intelligence with Python

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  • Neural Network Methods in Natural Language Processing

    Series series Synthesis Lectures on Human Language Technologies
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