Latest Episodes

Delivering Deep Learning Powered Speech Recognition As A Service For Developers At AssemblyAI - Episode 326

August 4, 2021 Tobias Macey Comments Off on Delivering Deep Learning Powered Speech Recognition As A Service For Developers At AssemblyAI - Episode 326

Building a software-as-a-service (SaaS) business is a fairly well understood pattern at this point. When the core of the service is a set of machine learning products it introduces a whole new set of challenges. In this episode Dylan Fox shares his experience building Assembly AI as a reliable and affordable option for automatic speech recognition that caters to a developer audience. He discusses the machine learning development and deployment processes that his team relies on, the scalability and performance considerations that deep learning models introduce, and the user...

Play Episode

Taking Aim At The Legacy Of SQL With The Preql Relational Language - Episode 325

July 28, 2021 Tobias Macey Comments Off on Taking Aim At The Legacy Of SQL With The Preql Relational Language - Episode 325

SQL has gone through many cycles of popularity and disfavor. Despite its longevity it is objectively challenging to work with in a collaborative and composable manner. In order to address these shortcomings and build a new interface for your database oriented workloads Erez Shinan created Preql. It is based on the same relational algebra that inspired SQL, but brings in more robust computer science principles to make it more manageable as you scale in complexity. In this episode he shares his motivation for creating the Preql project, how he...

Play Episode

Unleash The Power Of Dataframes At Any Scale With Modin - Episode 324

July 22, 2021 Tobias Macey Comments Off on Unleash The Power Of Dataframes At Any Scale With Modin - Episode 324

When you start working on a data project there are always a variety of unknown factors that you have to explore. One of those is the volume of total data that you will eventually need to handle, and the speed and scale at which it will need to be processed. If you optimize for scale too early then it adds a high barrier to entry due to the complexities of distributed systems, but if you invest in a lot of engineering up front then it can be challenging to...

Play Episode

Exploring The SpeechBrain Toolkit For Speech Processing - Episode 323

July 14, 2021 Tobias Macey Comments Off on Exploring The SpeechBrain Toolkit For Speech Processing - Episode 323

With the rising availability of computation in everyday devices, there has been a corresponding increase in the appetite for voice as the primary interface. To accomodate this desire it is necessary for us to have high quality libraries for being able to process and generate audio data that can make sense of human speech. To facilitate research and industry applications for speech data Mirco Ravanelli and Peter Plantinga are building SpeechBrain. In this episode they explain how it works under the hood, the projects that they are using it...

Play Episode

Fast And Educational Exploration And Analysis Of Graph Data Structures With graph-tool - Episode 322

July 7, 2021 Tobias Macey Comments Off on Fast And Educational Exploration And Analysis Of Graph Data Structures With graph-tool - Episode 322

If you are interested in a library for working with graph structures that will also help you learn more about the research and theory behind the algorithms then look no further than graph-tool. In this episode Tiago Peixoto shares his work on graph algorithms and networked data and how he has built graph-tool to help in that research. He explains how it is implemented, how it evolved from a simple command line tool to a full-fledged library, and the benefits that he has found from building a personal project...

Play Episode

Lightening The Load For Deep Learning With Sparse Networks Using Neural Magic - Episode 321

June 30, 2021 Tobias Macey Comments Off on Lightening The Load For Deep Learning With Sparse Networks Using Neural Magic - Episode 321

Deep learning has largely taken over the research and applications of artificial intelligence, with some truly impressive results. The challenge that it presents is that for reasonable speed and performance it requires specialized hardware, generally in the form of a dedicated GPU (Graphics Processing Unit). This raises the cost of the infrastructure, adds deployment complexity, and drastically increases the energy requirements for training and serving of models. To address these challenges Nir Shavit combined his experiences in multi-core computing and brain science to co-found Neural Magic where he is...

Play Episode

Finding The Core Of Python For A Bright Future With Brett Cannon - Episode 320

June 23, 2021 Tobias Macey Comments Off on Finding The Core Of Python For A Bright Future With Brett Cannon - Episode 320

Brett Cannon has been a long-time contributor to the Python language and community in many ways. In this episode he shares some of his work and thoughts on modernizing the ecosystem around the language. This includes standards for packaging, discovering the true core of the language, and how to make it possible to target mobile and web platforms.

Play Episode

Traversing The Challenges And Promise Of Graph Machine Learning - Episode 319

June 16, 2021 Tobias Macey Comments Off on Traversing The Challenges And Promise Of Graph Machine Learning - Episode 319

The foundation of every ML model is the data that it is trained on. In many cases you will be working with tabular or unstructured information, but there is a growing trend toward networked, or graph data sets. Benedek Rozemberczki has focused his research and career around graph machine learning applications. In this episode he discusses the common sources of networked data, the challenges of working with graph data in machine learning projects, and describes the libraries that he has created to help him in his work. If you...

Play Episode

Keep Your Analytics Lint Free With SQLFluff - Episode 318

June 9, 2021 Tobias Macey Comments Off on Keep Your Analytics Lint Free With SQLFluff - Episode 318

The growth of analytics has accelerated the use of SQL as a first class language. It has also grown the amount of collaboration involved in writing and maintaining SQL queries. With collaboration comes the inevitable variation in how queries are written, both structurally and stylistically which can lead to a significant amount of wasted time and energy during code review and employee onboarding. Alan Cruickshank was feeling the pain of this wasted effort first-hand which led him down the path of creating SQLFluff as a linter and formatter to...

Play Episode

Exploring The Patterns And Practices For Deep Learning With Andrew Ferlitsch - Episode 317

June 2, 2021 Tobias Macey Comments Off on Exploring The Patterns And Practices For Deep Learning With Andrew Ferlitsch - Episode 317

Deep learning is gaining an immense amount of popularity due to the incredible results that it is able to offer with comparatively little effort. Because of this there are a number of engineers who are trying their hand at building machine learning models with the wealth of frameworks that are available. Andrew Ferlitsch wrote a book to capture the useful patterns and best practices for building models with deep learning to make it more approachable for newcomers ot the field. In this episode he shares his deep expertise and...

Play Episode

Subscribe Wherever You Listen To Podcasts

Apple PodcastsApple PodcastsOvercastOvercastGoogle PodcastsGoogle PodcastsSpotifySpotifyPocketCastsPocketCastsRadio PublicRadio PublicCastBoxCastBoxGoogle PlayGoogle PlayStitcherStitcherTuneInTuneInRSSRSSiHeartRadioiHeartRadioBreakerBreaker

Join The Mailing List