Results for "Machine Learning Systems"

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12 results

Episodes

  • CyberSecurity Summary
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    Machine Learning Systems: Designs that scale

    CyberSecurity Summary· Machine Learning Systems· Oct 6, 2026

    A comprehensive guide to building production-grade predictive applications using the reactive systems paradigm. Through the narrative of a fictional startup, the author illustrates common pitfalls of naive designs, such …

    machine-learning
  • CyberSecurity Summary
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    Cyber Security Intelligence and Analytics (Advances in Intelligent Systems and Computing, 928)

    CyberSecurity Summary· May 1, 2026

    Focuses on integrating big data analytics, machine learning, and intelligent systems to enhance threat detection and combat cybercrime. Key topics include digital forensics, incident response, and the application of comp…

    machine-learning
  • Digital Health Podcast- Royal Society of Medicine
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    Bias in Healthcare AI. With Dr Xiao Liu- Senior Clinician Scientist in AI & Digital Health, University Hospitals Birmingham NHS Foundation Trust

    Digital Health Podcast- Royal Society of Medicine· Apr 8, 2024

    This episode features a conversation about bias in healthcare AI models with Dr Xiao Liu- Senior Clinician Scientist in AI & Digital Health, University Hospitals Birmingham NHS Foundation Trust. Discussion topics include…

    machine-learning
  • CyberSecurity Summary
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    Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

    CyberSecurity Summary· May 30, 2026

    A comprehensive guide for building intelligent systems using popular Python frameworks like Scikit-Learn and TensorFlow. The author distinguishes between supervised, unsupervised, and reinforcement learning, while also d…

    machine-learningdeep-learningtensorflow
  • The Jaeden Schafer Podcast
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    The History of AI

    The Jaeden Schafer Podcast· Feb 2, 2026

    In this episode, we journey back in time to explore the fascinating history of artificial intelligence, tracing its origins from early philosophical questions about machine thought to the symbolic AI systems of the past …

    deep-learning
  • CyberSecurity Summary
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    Python Machine Learning: The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step using Scikit-Learn and Tensorflow

    CyberSecurity Summary· Python Machine Learning· Jul 11, 2026

    A comprehensive primer for beginners looking to master predictive modeling using tools like Scikit-Learn and TensorFlow. The text begins by tracing the historical evolution of computing and the philosophical shift from r…

    machine-learningtensorflow
  • CyberSecurity Summary
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    Artificial Intelligence: A Modern Approach (Prentice Hall Series in Artificial Intelligence)

    CyberSecurity Summary· Artificial Intelligence· Jun 9, 2026

    Define artificial intelligence through the unifying theme of intelligent agents, which are systems designed to perceive their environments and take actions that maximize their chances of success. By exploring the field’s…

    machine-learning
  • CyberSecurity Summary
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    Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

    CyberSecurity Summary· Sep 6, 2026

    A technical guide authored by Nikhil Buduma and Nicholas Locascio for designing machine intelligence algorithms. It establishes the field by contrasting traditional computer programming, which relies on rigid instruction…

    machine-learningdeep-learning
  • CyberSecurity Summary
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    Data Science and Security: Proceedings of IDSCS 2021

    CyberSecurity Summary· May 15, 2026

    A scholarly volume published within the Lecture Notes in Networks and Systems series. The primary focus of the text is the intersection of data science and computational security, highlighting how these fields drive soci…

    machine-learningdeep-learning
  • CyberSecurity Summary
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    Introduction to Graph Neural Networks (Synthesis Lectures on Artificial Intelligence and Machine Learning)

    CyberSecurity Summary· Jun 1, 2026

    A comprehensive introduction to Graph Neural Networks (GNNs), a specialized class of deep learning models designed for non-Euclidean data structures. While traditional models like CNNs and RNNs excel at processing grids …

    machine-learningdeep-learning
  • CyberSecurity Summary
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    Beginning Ethical Hacking with Python

    CyberSecurity Summary· Apr 7, 2026

    An introductory guide to ethical hacking using the Python 3 programming language, specifically for those with no prior experience. It outlines the legal and ethical boundaries of cybersecurity, emphasizing that hacking t…

  • The Robot Brains Podcast
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    Cathy Wu of MIT on the future of our highways and roads

    The Robot Brains Podcast· Feb 9, 2022

    Previous guests on our podcasts - from Tesla, Aurora, Waymo - are building the brains of the cars and trucks of our future. This episode's guest, Professor Cathy Wu, is building the roadways of our future. She is buildin…