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Machine Learning Archives - Software Engineering Daily
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Machine learning and data science episodes of Software Engineering Daily.
16episodes
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Weights & Biases with Chris Van Pelt
Dec 12, 202300:38:22Tap to summarizeMachine learning model research requires running expensive, long-running experiments where even a slight mis-calibration can cost millions of dollars in underutilized compute resources. Once trained, model deployment, production monitoring, and observability requirements all present unique operational challenges. Chris Van Pelt is the Chief Information Officer of Weights and Biases, which is the industry standard in experiment monitoring and visualization, and has expanded that expertise into a comprehensive suite of ML Ops tooling including model management, deployment, and monitoring. Chris joins us today to discuss the state of the machine learning ecosystem at large, as well as some of their more recent work around production LLM tracing and monitoring. Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer . Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Weights & Biases with Chris Van Pelt appeared first on Software Engineering Daily.
Transcribe →Hugging Face with Sayak Paul
Dec 5, 202300:46:54Tap to summarizeHugging Face was founded in 2016 and has grown to become one of the most prominent ML platforms. It’s commonly used to develop and disseminate state-of-the-art ML models and is a central hub for researchers and developers. Sayak Paul is a Machine Learning Engineer at Hugging Face and a Google Developer Expert. He joins the show today to talk about how he entered the ML field, diffusion model training, the transformer-based architecture, and more. Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer . Please click here to see the transcript of this episode. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Hugging Face with Sayak Paul appeared first on Software Engineering Daily.
Transcribe →Data Investing and the MAD with Matt Turck
Mar 10, 2023Tap to summarizeThere are many types of early stage funding available from friends and family to seed to series A. Some firms invest across a wide set of technologies and seek only to provide capital. Others are in it for the long haul – they focus on specific areas of technology and develop both long term relationships and deep expertise over time. Today, we are interviewing Matt Turck of First Mark Capital, who is in it for the long haul and whose portfolio companies include Dataiku, Crossbeam, Ada, Cockroach Labs, Clickhouse and more. Today we will talk about Matt’s career, investment point of view, founding the Data-driven NYC community and the recent release of the 20234 MAD – an industry resource for understanding the Machine Learning, AI and Data Landscape Be sure to check out the show notes for links to the MAD This epsiode is hosted by Jocelyn Houle. Follow Jocelyn on Linked or on Twitter @jocelynbyrne. Show notes – In today’s show we referenced a couple things you may want to check out. Matt’s blog and MAD Landscape The interactive MAD Landscape The picture in Matt’s Office was The Son of Man by Rene Magritte Matt’s full bio FirstMark Capital Site Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Data Investing and the MAD with Matt Turck appeared first on Software Engineering Daily.
Transcribe →Edge Impulse with Daniel Situnayake
Oct 1, 2022Tap to summarizeToday, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain. Sponsorship inquiries: sponsor@softwareengineeringdaily.com The post Edge Impulse with Daniel Situnayake appeared first on Software Engineering Daily.
Transcribe →Self-Driving Engineering with George Hotz
Aug 8, 2018Tap to summarizeIn the smartphone market there are two dominant operating systems: one closed source (iPhone) and one open source (Android). The market for self-driving cars could play out the same way, with a company like Tesla becoming the closed source iPhone of cars, and a company like Comma.ai developing the open source Android of self-driving cars. George Hotz is the CEO of Comma.ai. Comma makes hardware devices that allow users with “normal” cars to be augmented with advanced cruise control and lane assist features. This means you can take your own car–for example, a Toyota Prius–and outfit your car to have something similar to the Tesla Autopilot. Comma’s hardware devices cost under $1000 to order online. George joins the show to explain how the Comma hardware and software stack works in detail–from the low level interface with a car’s CAN bus to the high level machine learning infrastructure. Users who purchase the Comma.ai hardware drive around with a camera facing the front of their windshield. This video is used to orient the state of the car in space. The video from that camera also gets saved and uploaded to Comma’s servers. Comma can use this video together with labeled events from the user’s driving experience to crowdsource their model for self-driving. For example, if a user is driving down a long stretch of highway, and they turn on the Comma.ai driving assistance, the car will start driving itself and the video capture will begin. If the car begins to swerve into another lane, the user will take over for the car and the Comma system will disengage. This “disengagement” event gets labeled as such, and when that data makes it back to Comma’s servers, Comma can use the data to update their models. George is very good at explaining complex engineering topics, and is also quite entertaining and open to discussing the technology as well as other competitors in the autonomous car space. I have not been able to get many other people on the show to talk about autonomous cars, so this was quite refreshing! I hope to do more in the future. The post Self-Driving Engineering with George Hotz appeared first on Software Engineering Daily.
Transcribe →Video Object Segmentation with the DAVIS Challenge Team
Jun 5, 2017Tap to summarizeVideo object segmentation allows computer vision to identify objects as they move through space in a video. The DAVIS challenge is a contest among machine learning researchers working off of a shared dataset of annotated videos. The organizers of the DAVIS challenge join the show today to explain how video object segmentation models are trained and how different competitors take part in the DAVIS challenge. A good companion to this episode is our discussion of Convolutional Neural Networks with Matt Zeiler. Software Engineering Daily is looking for sponsors for Q3. If your company has a product or service, or if you are hiring, Software Engineering Daily reaches 23,000 developers listening daily. Send me an email: jeff@softwareengineeringdaily.com The post Video Object Segmentation with the DAVIS Challenge Team appeared first on Software Engineering Daily.
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