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  • Large Language Models

    Series series The MIT Press Essential Knowledge series
    An in-depth history of Large Language Models—and what their ubiquity, disruption, and creativity mean from a wider sociopolitical perspective.In November 2022, ChatGPT swept the globe with a mixed frenzy of excitement and anxiety. Was this a step closer to reaching singularity or just another marvel in machine learning? Author Stephan Raaijmakers provides a comprehensive introduction to Large ... Read more

    $19.99 CAD

  • Deep Learning for Natural Language Processing

    Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning!Inside Deep Learning for Natural Language Processing you’ll find a wealth of NLP insights, including:An overview of NLP and deep learningOne-hot text representationsWord embeddingsModels for textual similaritySequential NLPSemantic role labelingDeep memory-based ... Read more

    $65.99 CAD

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  • ChatGPT and the Future of AI

    The Deep Language Revolution

    An insightful exploration of Chat GPT and other advanced AI systems—how we got here, where we’re headed, and what it all means for how we interact with the world.In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding ... Read more

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  • Python Machine Learning

    Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial

    Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust ... Read more

    $41.99 CAD or Free with Kobo Plus

  • Artificial Intelligence with Python

    A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

    by Prateek Joshi ...
    Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries. A new edition completely updated and revised for 2020 with seven additional chapters that cover RNNs, AI and big data, fundamental use cases, chatbots, and more, is now available. Build real-world Artificial Intelligence applications with Python to ... Read more

    $47.99 CAD or Free with Kobo Plus

  • The Road to General Intelligence

    Series series Intelligent Technologies and Robotics (R0)
    Humans have always dreamed of automating laborious physical and intellectual tasks, but the latter has proved more elusive than naively suspected. Seven decades of systematic study of Artificial Intelligence have witnessed cycles of hubris and despair. The successful realization of General Intelligence (evidenced by the kind of cross-domain flexibility enjoyed by humans) will spawn an industry ... Read more

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  • Python Machine Learning, Second Edition

    Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

    Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the ... Read more

    $37.99 CAD or Free with Kobo Plus

  • Practicing Trustworthy Machine Learning

    Consistent, Transparent, and Fair AI Pipelines

    With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable.Authors Yada ... Read more

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  • Building Machine Learning Systems with Python

    This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and ... Read more

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  • Applied Text Analysis with Python

    Enabling Language-Aware Data Products with Machine Learning

    From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This ... Read more

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  • Machine Learning Algorithms

    A reference guide to popular algorithms for data science and machine learning

    Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guideKey Features\[\*\] Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.\[\*\] Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their ... Read more

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  • Bridging the Gap Between AI and Reality

    Second International Conference, AISoLA 2024, Crete, Greece, October 30 – November 3, 2024, Selected Papers

    Edited by Bernhard Steffen ...
    Series series Springer Nature Proceedings Computer Science
    This open access book constitutes revised selected papers from the Second International Conference on Bridging the Gap between AI and Reality, AISoLA 2024, which took place in Crete, Greece, in October/November 2024.The papers included in this book extend the presentation in the AISoLA 2024 on-site proceedings. They focus on the following topics: AI-Assisted Programming; health care approaches ... Read more

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