Data Science at Home

Data Science at Home

By Francesco GadaletaNewsTechnologyTech News
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Data Science at Home episodes

  • 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 [email protected] or on LinkedIn

    32 min
  • 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
  • 46 min
  • 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

     

     

     

     

    31 min
  • 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

     

    32 min
  • Concurrent is not parallel - Part 2 (Ep. 143)

    In plain English, concurrent and parallel are synonyms. Not for a CPU. And definitely not for programmers. In this episode I summarize the ways to parallelize on different architectures and operating systems.

    Rock-star data scientists must know how concurrency works and when to use it IMHO.

     

    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

    http://web.mit.edu/6.005/www/fa14/classes/17-concurrency/

    https://doc.rust-lang.org/book/ch16-00-concurrency.html

    https://urban-institute.medium.com/using-multiprocessing-to-make-python-code-faster-23ea5ef996ba

     

    16 min
  • Concurrent is not parallel - Part 1 (Ep. 142)

    In plain English, concurrent and parallel are synonyms. Not for a CPU. And definitely not for programmers. In this episode I summarize the ways to parallelize on different architectures and operating systems.


    Rock-star data scientists must know how concurrency works and when to use it IMHO.

     

    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.  

     

     

    33 min
  • Backend technologies for machine learning in production (Ep. 141)

    This is one of the most dynamic and fascinating topics: API technologies for machine learning.

    It's always fun to build ML models. But how about serving them in the real world? In this episode I speak about three must-know technologies to place your model behind an API.

     

    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.

    26 min
  • You are the product (Ep. 140)
    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
  • 46 min
  • How to reinvent banking and finance with data and technology (Ep. 139)

    The financial system is changing. It is becoming more efficient and integrated with many more services making our life more... digital. Is the old banking system doomed to fail? Or will it just be disrupted by the smaller players of the fintech industry?

    In this episode we answer some of these fundamental questions with Alessandro E. Hatami from Pacemakers

    Subscribe to the Newsletter and come chat with us on the official Discord channel

     

    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.  

     

    37 min

About Data Science at Home

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