290 épisodes

Software Engineering Radio is a podcast targeted at the professional software developer. The goal is to be a lasting educational resource, not a newscast. Every 10 days, a new episode is published that covers all topics software engineering. Episodes are either tutorials on a specific topic, or an interview with a well-known character from the software engineering world. All SE Radio episodes are original content — we do not record conferences or talks given in other venues. Each episode comprises two speakers to ensure a lively listening experience. SE Radio is an independent and non-commercial organization.

Software Engineering Radio - The Podcast for Professional Software Developers SE-Radio Team

    • Technologies

Software Engineering Radio is a podcast targeted at the professional software developer. The goal is to be a lasting educational resource, not a newscast. Every 10 days, a new episode is published that covers all topics software engineering. Episodes are either tutorials on a specific topic, or an interview with a well-known character from the software engineering world. All SE Radio episodes are original content — we do not record conferences or talks given in other venues. Each episode comprises two speakers to ensure a lively listening experience. SE Radio is an independent and non-commercial organization.

    Episode 396: Barry O’Reilly on Antifragile Architecture

    Episode 396: Barry O’Reilly on Antifragile Architecture

    Barry O’Reilly of Black Tulip Technology discusses Antifragile Architecture, an approach for designing systems that actually improve in the face of complexity and disorder. Host Jeff Doolittle spoke with O’Reilly about the characteristics of antifragility and the nature of complexity in software systems and business environments. Various processes and practices were discussed for applying the […]

    • 1h 5 min
    Episode 395: Katharine Jarmul on Security and Privacy in Machine Learning

    Episode 395: Katharine Jarmul on Security and Privacy in Machine Learning

    Katharine Jarmul of DropoutLabs discusses security and privacy concerns as they relate to Machine Learning. Host Justin Beyer spoke with Jarmul about attacks that can be leveraged against data pipelines and machine learning models; attack types – adversarial example, model inference, deanonymization; and how they can be utilized to manipulate model outcomes; the dangers of […]

    • 1h 5 min
    Episode 394: Chris McCord on Phoenix LiveView

    Episode 394: Chris McCord on Phoenix LiveView

    Chris McCord, author of the Phoenix Framework and Programming Phoenix 1.4, discusses Phoenix’s LiveView functionality to showcase the power of real-time applications without the need for writing a single line of JavaScript. Host Adam Conrad spoke with Chris McCord about the basics of LiveView, how it was created, and the best use cases for integrating […]

    • 52 min
    Episode 393: Jay Kreps on Enterprise Integration Architecture with a Kafka Event Log

    Episode 393: Jay Kreps on Enterprise Integration Architecture with a Kafka Event Log

    Jay Kreps, CEO of Confluent discusses an enterprise integration architecture organized around an event log. Robert Blumen spoke with Jay about the N-squared problem of data integration; how LinkedIn tried and failed to solve the integration problem;  the nature of events; the enterprise event schema; schema definition languages; the use of an event log in […]

    • 58 min
    Episode 392: Stephen Wolfram on Mathematica

    Episode 392: Stephen Wolfram on Mathematica

    Stephen Wolfram, creator of Mathematica and Wolfram Alpha discusses the wolfram language, the language behind both projects. Host Adam Gordon Bell spoke with Stephen Wolfram about computing, computational essays, building a language, notebook based computing, and teaching children how to code. Stephen discusses the origin story of Mathematica and why it is so unique and […]

    • 1h 2 min
    Episode 391: Jeremy Howard on Deep Learning and fast.ai

    Episode 391: Jeremy Howard on Deep Learning and fast.ai

    Jeremy Howard from fast.ai explains deep learning from concept to implementation. With transfer learning, individuals and small organizations can quickly get to work on machine learning problems using the open source fastai library and desktop graphics hardware. Jeremy and host Nate Black discuss neural network architecture and deep learning models, using pre-trained models from a […]

    • 57 min

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Faycal Inajjarane ,

Very good

This is exactly what I'm looking for!

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