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Technology, AI, machine learning and algorithms

Data Science at Home Francesco Gadaleta

    • Technologie
    • 4.7 • 7 Bewertungen

Technology, AI, machine learning and algorithms

    Building high-growth data businesses with Lillian Pierson (Ep. 149)

    Building high-growth data businesses with Lillian Pierson (Ep. 149)

    In this episode I have an amazing conversation with Lillian Pierson from data-mania.com
    This is an action-packed episode on how data professionals can quickly convert their data expertise into high-growth data businesses, all by selecting optimal business models, revenue models, and pricing structures.
    If you want to know more or get in touch with Lillian, follow the links below:Weekly Free Trainings: We currently publish 1 free training per week on YouTube! https://www.youtube.com/channel/UCK4MGP0A6lBjnQWAmcWBcKQ
    Becoming World-Class Data Leaders and Data Entrepreneurs Facebook Group: https://www.facebook.com/groups/data.leaders.and.entrepreneurs
    LinkedIn: https://www.linkedin.com/in/lillianpierson/
    The Data Entrepreneur’s Toolkit: A recommendation set for 32 free (or low-cost) tools & processes that'll actually grow your data business (even if you still haven’t put up that website yet!). https://www.data-mania.com/data-entrepreneur-toolkit/

    • 25 Min.
    Learning and training in AI times (Ep. 148)

    Learning and training in AI times (Ep. 148)

    Is there a gap between life sciences and data science?What's the situation when it comes to interdisciplinary research?In this episode I am with Laura Harris, Director of Training for the Institute of Cyber-Enabled Research (ICER) at Michigan State University (MSU), and we try to answer some of those questions.
     
    You can contact Laura at training@msu.edu or on LinkedIn

    • 31 Min.
    You are the product [RB] (Ep. 147)

    You are the product [RB] (Ep. 147)

    In this episode I am with George Hosu from Cerebralab
    and we speak about how dangerous it is not to pay for the services you use, and as a consequence how dangerous it is letting an algorithm decide what you like or not.
     

    Our Sponsors
    This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepare to take the next big leap in their professional journey.To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience
     
    If building software is your passion, you’ll love ThoughtWorks Technology Podcast. It’s a podcast for techies by techies. Their team of experienced technologists take a deep dive into a tech topic that’s piqued their interest — it could be how machine learning is being used in astrophysics or maybe how to succeed at continuous delivery.
     

    Links
    https://cerebralab.com
    https://www.eugenewei.com/blog/2019/2/19/status-as-a-service

    • 45 Min.
    Polars: the fastest dataframe crate in Rust - with Ritchie Vink (Ep. 146)

    Polars: the fastest dataframe crate in Rust - with Ritchie Vink (Ep. 146)

    In this episode I speak with Ritchie Vink, the author of Polars, a crate that is the fastest dataframe library at date of speaking :) If you want to participate to an amazing Rust open source project, this is your change to collaborate to the official repository in the references.
     
    References
    https://github.com/ritchie46/polars
     

    • 32 Min.
    Apache Arrow, Ballista and Big Data in Rust with Andy Grove (Ep. 145)

    Apache Arrow, Ballista and Big Data in Rust with Andy Grove (Ep. 145)

    Do you want to know the latest in big data analytics frameworks? Have you ever heard of Apache Arrow? Rust? Ballista? In this episode I speak with Andy Grove one of the main authors of Apache Arrow and Ballista compute engine.Andy explains some challenges while he was designing the Arrow and Ballista memory models and he describes some amazing solutions.
     
    Our Sponsors
    This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepare to take the next big leap in their professional journey.To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience
     
    If building software is your passion, you’ll love ThoughtWorks Technology Podcast. It’s a podcast for techies by techies. Their team of experienced technologists take a deep dive into a tech topic that’s piqued their interest — it could be how machine learning is being used in astrophysics or maybe how to succeed at continuous delivery.
     
    References
     
    https://arrow.apache.org/
     
    https://ballistacompute.org/
     
    https://github.com/ballista-compute/ballista
     
     
     
     

    • 30 Min.
    Pandas vs Rust (Ep. 144)

    Pandas vs Rust (Ep. 144)

    Pandas is the de-facto standard for data loading and manipulation. Python is the de-facto programming language for such operations. Rust is the underdog. Or is it?In this episode I am showing you why that is no longer the case.
     
    Our Sponsors
    This episode is supported by Chapman’s Schmid College of Science and Technology, where master’s and PhD students join in cutting-edge research as they prepare to take the next big leap in their professional journey.To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience
     
    Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.  
     
    Useful Links
    https://github.com/haixuanTao/Data-Manipulation-Rust-Pandas
    https://github.com/ritchie46/polars
    https://github.com/rust-ndarray/ndarray
     

    • 31 Min.

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