Data Science at Home

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.
 
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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.

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

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.  
 

What's up with WhatsApp? (Ep. 138)

Have you clicked the button? Accepted the new terms?
It's time we have a talk.

Is Rust flexible enough for a flexible data model? (Ep. 137)

In this podcast I get inspired by Paul Done's presentation about The Six Principles for Building Robust Yet Flexible Shared Data Applications, and show how powerful of a language Rust is while still maintaining the flexibility of less strict languages.
 
Our Sponsor
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
 

Is Apple M1 good for machine learning? (Ep.136)

In this episode I explain the basics of computer architecture and introduce some features of the Apple M1
Is it good for Machine Learning tasks?
 
References
Computer architectures book https://www.amazon.com/Computer-Architecture-Quantitative-John-Hennessy/dp/012383872X
Performance https://nod.ai/comparing-apple-m1-with-amx2-m1-with-neon/

Rust and deep learning with Daniel McKenna (Ep. 135)

In this episode I speak with Daniel McKenna about Rust, machine learning and artificial intelligence.
You can find Daniel from
http://github.com/xd009642 
https://twitter.com/xd009642
 
Don't forget to come join me in our Discord channel speaking about all things data science.
Subscribe to the official Newsletter and never miss an episode

Scaling machine learning with clusters and GPUs (Ep. 134)

Let's finish this year with an amazing episode about scaling ML with clusters and GPUs. Kind of as a continuation of Episode 112 I have a terrific conversation with Aaron Richter from Saturn Cloud about, well, making ML faster and scaling it to massive infrastructure.
Aaron can be reached on his website https://rikturr.com and Twitter @rikturr
 
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Saturn Cloud is a data science and machine learning platform for scalable Python analytics. Users can jump into cloud-based Jupyter and Dask to scale Python for big data using the libraries they know and love, while leveraging Docker and Kubernetes so that work is reproducible, shareable, and ready for production.
Try Saturn Cloud for free at https://saturncloud.io 
Twitter: @saturn_cloud
 
 

What is data ethics? (Ep. 133)

What is data ethics? In this episode I have an interesting chat with Denny Wong from FaqBot and Muna.
 
Our Sponsor
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.
 
References
Denny's Twitter profile
The data ethics awareness workshop for AI practitioners

A Standard for the Python Array API (Ep. 132)

Our Links
Come join me in our Discord channel speaking about all things data science.
Subscribe to the official Newsletter and never miss an episode
Follow me on Twitch during my live coding sessions usually in Rust and Python
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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.
References
https://data-apis.org/blog/announcing_the_consortium
https://data-apis.github.io/array-api/latest/
https://github.com/data-apis/python-record-api