Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600

Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600

Today we’re joined by Heather Nolis, a principal machine learning engineer at T-Mobile. In our conversation with Heather, we explored her machine learning journey at T-Mobile, including their initial proof of concept project, which held the goal of putting their first real-time deep learning model into production. We discuss the use case, which aimed to build a model customer intent model that would pull relevant information about a customer during conversations with customer support. This process has now become widely known as blank assist. We also discuss the decision to use supervised learning to solve this problem and the challenges they faced when developing a taxonomy. Finally, we explore the idea of using small models vs uber-large models, the hardware being used to stand up their infrastructure, and how Heather thinks about the age-old question of build vs buy.

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Agile Machine Learning with Jennifer Prendki - TWiML Talk #46

Agile Machine Learning with Jennifer Prendki - TWiML Talk #46

My guest this week is Jennifer Prendki. That name might sound familiar, as she was one of the great speakers from my Future of Data Summit back in May. At the time, Jennifer was senior data science ma...

5 Syys 201748min

LSTMs, Plus a Deep Learning History Lesson with Jürgen Schmidhuber - TWiML Talk #44

LSTMs, Plus a Deep Learning History Lesson with Jürgen Schmidhuber - TWiML Talk #44

This week we have a very special interview to share with you! Those of you who’ve been receiving my newsletter for a while might remember that while in Switzerland last month, I had the pleasure of in...

28 Elo 20171h 3min

Machine Teaching for Better Machine Learning with Mark Hammond - TWiML Talk #43

Machine Teaching for Better Machine Learning with Mark Hammond - TWiML Talk #43

Today’s show, which concludes the first season of the Industrial AI Series, features my interview with Bonsai co-founder and CEO Mark Hammond. I sat down with Mark at Bonsai HQ a few weeks ago and we ...

21 Elo 20171h 5min

Marrying Physics-Based and Data-Driven ML Models with Josh Bloom - TWiML Talk #42

Marrying Physics-Based and Data-Driven ML Models with Josh Bloom - TWiML Talk #42

Recently I had a chance to catch up with a friend and friend of the show, Josh Bloom, vice president of data & analytics at GE Digital. If you’ve been listening for a while, you already know that Josh...

14 Elo 201752min

Data Pipelines at Zymergen with Airflow with Erin Shellman - TWiML Talk #41

Data Pipelines at Zymergen with Airflow with Erin Shellman - TWiML Talk #41

The show you’re listening to features my interview with Erin Shellman. Erin is a statistician and data science manager with Zymergen, a company using robots and machine learning to engineer better mic...

5 Elo 201735min

Cognitive Biases in Data Science with Drew Conway - TWiML Talk #39

Cognitive Biases in Data Science with Drew Conway - TWiML Talk #39

This show features my interview with Drew Conway, whose Wrangle keynote could have been called “Confessions of a CIA Data Scientist.” The focus of our interview, and of Drew’s presentation, is an inte...

5 Elo 201734min

Web Scale Engineering for Machine Learning with Sharath Rao - TWiML Talk #40

Web Scale Engineering for Machine Learning with Sharath Rao - TWiML Talk #40

The show you’re about to listen to features my interview with Sharath Rao, Tech Lead Manager & Machine Learning Engineer at Instacart I reached out to Sharath about being on the show and was blown awa...

4 Elo 201731min

Deep Learning for Warehouse Operations with Calvin Seward - TWiML Talk #38

Deep Learning for Warehouse Operations with Calvin Seward - TWiML Talk #38

This week, I’m happy to bring you my interview with Calvin Seward, a research scientist with Berlin, Germany based Zalando. While our American listeners might not know the name Zalando, they’re one of...

31 Heinä 201746min

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