Results for "Machine Learning Systems"
Keyword scan across titles, descriptions, summaries, and tags. For interview listings, try Guest appearances.
12 results
Episodes
StandardSummaries onlyMachine 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
StandardSummaries onlyCyber 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
StandardSummaries onlyBias 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
StandardSummaries onlyHands-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
StandardSummaries onlyThe 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
StandardSummaries onlyPython 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
StandardSummaries onlyArtificial 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
StandardSummaries onlyFundamentals 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
StandardSummaries onlyData 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
StandardSummaries onlyIntroduction 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
StandardSummaries onlyBeginning 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…
StandardSummaries onlyCathy 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…