100 episodes

Technology, machine learning and algorithms

Data Science at Home Francesco Gadaleta

    • Technology
    • 4.2 • 58 Ratings

Technology, machine learning and algorithms

    Let's talk about federated learning (Ep. 122)

    Let's talk about federated learning (Ep. 122)

    Let's talk about federated learning. Why is it important? Why large organizations are not ready yet?
     
    Come join me in our Discord channel speaking about all things data science.
    Follow me on Twitch during my live coding sessions usually in Rust and Python
    This episode is supported by Monday.com
    The Monday Apps Challenge is bringing developers around the world together to compete in order to build apps that can improve the way teams work together on monday.com.
     

    • 30 min
    How to test machine learning in production (Ep. 121)

    How to test machine learning in production (Ep. 121)

    Come join me in our Discord channel speaking about all things data science.
    Follow me on Twitch during my live coding sessions usually in Rust and Python
     
    This episode is supported by Monday.com
    Monday.com bring teams together so you can plan, manage and track everything your team is working on in one centralized place
    The monday Apps Challenge is bringing developers around the world together to compete in order to build apps that can improve the way teams work together on monday.com.

    • 28 min
    Why synthetic data cannot boost machine learning (Ep. 120)

    Why synthetic data cannot boost machine learning (Ep. 120)

    Come join me in our Discord channel speaking about all things data science.
    Follow me on Twitch during my live coding sessions usually in Rust and Python
    This episode is supported by Women in Tech by Manning Conferences

    • 23 min
    Machine learning in production: best practices [LIVE from twitch.tv] (Ep. 119)

    Machine learning in production: best practices [LIVE from twitch.tv] (Ep. 119)

    Hey there! Having the best time of my life ;)
    This is the first episode I record while I am live on my new Twitch channel :) So much fun!
    Feel free to follow me for the next live streaming. You can also see me coding machine learning stuff in Rust :))
    Don't forget to jump on the usual Discord and have a chat
    I'll see you there!
     
     
     
     

    • 37 min
    Testing in machine learning: checking deeplearning models (Ep. 118)

    Testing in machine learning: checking deeplearning models (Ep. 118)

    In this episode I speak with Adam Leon Smith, CTO at DragonFly and expert in testing strategies for software and machine learning.We cover testing with deep learning (neuron coverage, threshold coverage, sign change coverage, layer coverage, etc.), combinatorial testing and their practical aspects.
    On September 15th there will be a live@Manning Rust conference. In one Rust-full day you will attend many talks about what's special about rust, building high performance web services or video game, about web assembly and much more.If you want to meet the tribe, tune in september 15th to the live@manning rust conference.
     
     

    • 18 min
    Testing in machine learning: generating tests and data (Ep. 117)

    Testing in machine learning: generating tests and data (Ep. 117)

    In this episode I speak with Adam Leon Smith, CTO at DragonFly and expert in testing strategies for software and machine learning.
     
    On September 15th there will be a live@Manning Rust conference. In one Rust-full day you will attend many talks about what's special about rust, building high performance web services or video game, about web assembly and much more.If you want to meet the tribe, tune in september 15th to the live@manning rust conference.
     
     

    • 20 min

Customer Reviews

4.2 out of 5
58 Ratings

58 Ratings

zerolagtime ,

Still Need A Degree

I have a BS in Computer Science. I've taken my share of math, including classes on statistics, graph theory, and optimization. I can barely keep up because my day job doesn't put me near this material. If I was working on my Masters in CS, this is great stuff. If I was trying to adapt existing projects to Big Data, this really helps me avoid some traps and pitfalls. It also helps me decode lingo from software vendors to find the liars. What it won't do is teach you Data Science.
I'd get lost for hours if Francesco uploaded his script to his blog with links to projects, papers, and products. It is a very dense lecture though that pulls valuable experiences into one place. Between that and the great improvements to the production process, I'm going to keep listening and gleaning.
In late 2019, Francesco turned the mic over to a friend with a soap box that rightly attacked recommender algorithms, but it stepped way far away from a technical, improvisational interview. Francesco has finally started to realize that ML is easily abused and I look forward to his leadership in guiding the ML industry in better methods to avoid traps imposed by data owners on their analysts.

okschu ,

Awesome

Good greatest

mrkchase ,

Good coverage of the topic

I am just beginning to learn this topic. Francesco covers it in a way I can understand most of the time. There was one episode that was completely over my head, but that's OK. His audience is made up of more than just beginners so he needs to present a wide range of topics so the show can appeal to everyone. And who knows, at some point, i'll be able to go back to that episode and understand it.

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