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    Software How-To

    Practical AI

    Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).

    The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

    Advertise

    Copyright: © All rights reserved

    • Apple Podcasts
    • Google Play
    • Spotify

    Latest Episodes:
    Getting in the Flow with Snorkel AI Dec 21, 2020
    Show notes

    Braden Hancock joins Chris to discuss Snorkel Flow and the Snorkel open source project. With Flow, users programmatically label, build, and augment training data to drive a radically faster, more flexible, and higher quality end-to-end AI development and deployment process.


    Sponsors:

    • DigitalOcean – Get apps to market faster. Build, deploy, and scale apps quickly using a simple, fully managed solution. DigitalOcean handles the infrastructure, app runtimes and dependencies, so that you can push code to production in just a few clicks. Try it free with $100 credit at do.co/changelog.
    • Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this!
    • Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
    • LaunchDarkly – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise.

    Featuring:

    • Braden Hancock – Website, X
    • Chris Benson – Website, GitHub, LinkedIn, X

    Show Notes:

    • Snorkel AI
    • Snorkel OSS
    • Snorkel Blog
    • Snorkel AI | Twitter
    • Snorkel AI | LinkedIn
    • Snorkel Best of VLDB paper
    • Snorkel Drybell collaboration with Google

    Jerod recommends

    • Getting Waymo into autonomous driving (Drago Anguelov)
    • Building the world’s most popular data science platform (Peter Wang)
    • Achieving provably beneficial, human-compatible AI (Stuart Russell)

    Upcoming Events:

    • Register for upcoming webinars here!

    Engaging with governments on AI for good Dec 14, 2020
    Show notes

    At this year’s Government & Public Sector R Conference (or R|Gov) our very own Daniel Whitenack moderated a panel on how AI practitioners can engage with governments on AI for good projects. That discussion is being republished in this episode for all our listeners to enjoy!

    The panelists were Danya Murali from Arcadia Power and Emily Martinez from the NYC Department of Health and Mental Hygiene. Danya and Emily gave some great perspectives on sources of government data, ethical uses of data, and privacy.


    Featuring:

    • Danya Murali – GitHub, LinkedIn, X
    • Emily Martinez – X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    The Government & Public Sector R Conference, or R|Gov for short, is returning in Fall of 2021 and the R Conference New York is returning in 2021 as well and you can learn more at rstats.ai, twitter.com/rstatsnyc and twitter.com/rstatsdc.


    Upcoming Events:

    • Register for upcoming webinars here!

    From research to product at Azure AI Dec 07, 2020
    Show notes

    Bharat Sandhu, Director of Azure AI and Mixed Reality at Microsoft, joins Chris and Daniel to talk about how Microsoft is making AI accessible and productive for users, and how AI solutions can address real world challenges that customers face. He also shares Microsoft’s research-to-product process, along with the advances they have made in computer vision, image captioning, and how researchers were able to make AI that can describe images as well as people do.


    Sponsors:

    • Linode – Get $100 in free credit to get started on Linode – our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit.
    • Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this!
    • Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
    • LaunchDarkly – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise.

    Featuring:

    • Bharat Sandu – LinkedIn
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • What’s that? Microsoft’s latest breakthrough, now in Azure AI, describes images as well as people do
    • From search to translation, AI research is improving Microsoft products
    • Azure AI: Build mission-critical AI apps with new Cognitive Services capabilities

    Upcoming Events:

    • Register for upcoming webinars here!

    The world's largest open library dataset Dec 01, 2020
    Show notes

    Unsplash has released the world’s largest open library dataset, which includes 2M+ high-quality Unsplash photos, 5M keywords, and over 250M searches. They have big ideas about how the dataset might be used by ML/AI folks, and there have already been some interesting applications. In this episode, Luke and Tim discuss why they released this data and what it take to maintain a dataset of this size.


    Sponsors:

    • Linode – Get $100 in free credit to get started on Linode – our cloud of choice and the home of Changelog.com. Head to linode.com/changelog OR text CHANGELOG to 474747 to get instant access to that $100 in free credit.
    • Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this!
    • LaunchDarkly – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise.

    Featuring:

    • Luke Chesser – Website, X
    • Timothy Carbone – GitHub, X
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Unsplash
    • The world’s largest open library dataset from Unsplash
    • The Unsplash dataset on GitHub

    Upcoming Events:

    • Register for upcoming webinars here!

    A casual conversation concerning causal inference Nov 24, 2020
    Show notes

    Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).


    Sponsors:

    • Linode – Get $100 in free credit to get started on Linode – our cloud of choice and the home of Changelog.com. Head to linode.com/changelog
    • Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this!
    • Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
    • LaunchDarkly – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise.

    Featuring:

    • Lucy D'Agostino McGowan – Website, LinkedIn, X
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Casual Inference Podcast
    • Casual Inference Podcast | Twitter
    • Communicating Complex Statistics (video)
    • Communicating Complex Statistics (slides)

    Practical AI is a “Media Sponsor” of the R Conference | Government & Public Sector, where Lucy D’Agostino McGowan is giving the talk with Malcolm Barrett called “Causal Inference in R”, as well as a workshop with the same title.

    This will be the first ever R Conference focused on data science work in government, defense, and the public sector.

    Practical AI listeners get a special discount code valid for 20% off all ticket types, General & Academic Admission and workshops:

    PRACTICALAI20


    Upcoming Events:

    • Register for upcoming webinars here!

    Building a deep learning workstation Nov 17, 2020
    Show notes

    What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).


    Sponsors:

    • Linode – Get $100 in free credit to get started on Linode – our cloud of choice and the home of Changelog.com. Head to linode.com/changelog
    • Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this!
    • Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.

    Featuring:

    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    Daniel’s workstation components:

    • CPU - AMD YD292XA8AFWOF Ryzen Threadripper 2920X
    • CPU cooler - Noctua NH-U12S TR4-SP3, Premium-Grade CPU Cooler for AMD sTRX4/TR4/SP3
    • Motherboard - GIGABYTE X399 AORUS PRO
    • Memory - Corsair Vengeance LPX 16GB (2x 2 packs), total 64GB
    • Storage 1 - Samsung (MZ-V7S1T0B/AM) 970 EVO Plus SSD 1TB
    • GPU 1 - RTX 2080 Ti
    • GPU 2 - Titan RTX
    • Case - Lian Li PC-O11AIR
    • Power Supply - Rosewill Hercules
    • Case fan(s) - Coolmaster 8mm

    Daniel’s NUC 9 Extreme machine

    References:

    • How to build the perfect Deep Learning Computer and save thousands of dollars
    • Curtis Northcut’s blog posts

    Upcoming Events:

    • Register for upcoming webinars here!

    Killer developer tools for machine learning Nov 09, 2020
    Show notes

    Weights & Biases is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. He also shares his vision for the future of machine learning tooling and where he would like to see people level up tool-wise.


    Featuring:

    • Lukas Biewald – Website, GitHub, X
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Weights & Biases
    • Blueriver case study from W&B
    • W&B gallery

    Upcoming Events:

    • Register for upcoming webinars here!

    Reinforcement Learning for search Oct 26, 2020
    Show notes

    Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen for a while, and it was well worth the wait.


    Featuring:

    • Hamish Ogilvy – X
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Sajari
    • Blog post: “Reinforcement Learning Assisted Search Ranking”
    • Blog post: “Query Understanding 101”
    • Blog post: “The Inevitable Collision of Search and AI Tech”
    • Special offer from Sajari for Changelog listeners

    Upcoming Events:

    • Register for upcoming webinars here!

    When data leakage turns into a flood of trouble Oct 20, 2020
    Show notes

    Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set.


    Sponsors:

    • DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog.
    • Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this!
    • Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.

    Featuring:

    • Rajiv Shah – Website, GitHub, LinkedIn, X
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Rajiv Shah | University of Illinois at Chicago
    • Rajiv Shah | DataRobot Blog
    • DataRobot

    Upcoming Events:

    • Register for upcoming webinars here!

    Productionizing AI at LinkedIn Oct 13, 2020
    Show notes

    Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedIn’s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality.


    Sponsors:

    • DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog.
    • Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this!
    • Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
    • Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog.

    Featuring:

    • Suju Rajan – LinkedIn
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • The AI behind LinkedIn’s recruiter search
    • TensorFlow Extended (TFX)
    • Paper: “Hidden Technical Debt in Machine Learning Systems”

    Upcoming Events:

    • Register for upcoming webinars here!

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