bweber
Re:Pretrained Deep Learning Intent Signals for Mobile DSPs
on Saturday October 03, 2026 @12:33PM (#49945675)
I wrote a reflection on my work in AdTech and how I'd approach using Deep Learning for a Mobile DSP based on technical posts from Teads Pinterest Moloco and Snap Inc. I couldn't find many details on how Moloco, Liftoff, and Applovin work under the hood, but was able to find relevant details from other tech companies.
Pretrained Deep Learning Intent Signals for Mobile DSPs
Deep Learning in AdTech, a hands-on example with Kaggle
A Technical Introduction to Programmatic User Acquisition
Real-Time ML Approaches Explored at Zynga
New Tools I Learned as a Data Scientist in 2020
New Tools I Learned as a Data Scientist in 2020
The Zynga Analytics Platform
The Zynga Analytics Platform in 2020
Evolution of the Zynga Analytics data platform
Re:Many ways where GCP excels over AWS
on Saturday May 09, 2020 @11:54AM (#23125753)
This article doesn't even mention one of my favorite tools on GCP which is Dataflow. It's really easy to build batch and streaming workflows that can be used for data and machine learning pipelines. It really shows how well the different services within GCP are integrated, since it's trivial to set up PubSub or BigQuery as sources and sinks.
Securing ML Services on the Web
HTTPS and Access Control for Data Science Projects
DevOps for Data Science with GKE and Stackdriver
DevOps for Data Science with GCP: Deploying Production-Grade Containers
Re:How I make $400/month with my technical eBook
on Sunday January 12, 2020 @12:21PM (#22027502)
Sounds like the author is using a similar stack to me, markdown -> PDF, epub. I wrote a bit more about the writing process and consideration for traditional publishers here: https://news.ycombinator.com/item?id=22027026
Self Publishing a Technical Book in 2020
Self Publishing a Technical Book in 2020
Free Kindle Book on Python: “Data Science in Production”
Re:Show HN: Self-Published Book – “Data Science in Production”
on Sunday January 05, 2020 @01:44PM (#21963038)
Please leave a review if you purchased on Amazon.
Re:Show HN: Self-Published Book – “Data Science in Production”
on Sunday January 05, 2020 @01:41PM (#21963004)
For paper size, I decided to use 6x9 from the start. I also didn't consider the epub format until the end, and then used the "print replica" feature on Kindle Direct to create a kindle version, which lacks text resizing and a few other features. Once I settled on a page size, I wrote each chapter independently and made sure to avoid any widowed text or code samples. I decided that orphaned text would be fine, given that the size of the page is relatively small.
I didn't really need to write any scripts, beyond using the sample bookdown project. I did use a custom book class and made some tweaks for the code formatting, but these were mostly Latex changes.
Re:Show HN: Self-Published Book – “Data Science in Production”
on Sunday January 05, 2020 @01:05PM (#21962766)
Virtual environments are useful when setting up a single machine, but many of the tools covered in the book do not directly support venv, such as Lambda functions, Cloud Dataflow, and Databricks. In general, the goal is to get readers to explore tools beyond Conda for setting up environments and dependencies.
Marketing will be a challenge. There's been great reception here, but I expect sales to taper quickly and then paid sponsorship will be necessary to continue generating sales. I'm currently testing out Amazon Advertising, but I don't seem to have bids high enough to get to my target budget.
Re:Show HN: Self-Published Book – “Data Science in Production”
on Sunday January 05, 2020 @12:55PM (#21962689)
Thanks. I originally planned on covering more topics related to DevOps, such as CI/CD for model deployment, but felt that this might be a bit of a stretch for some readers, and it's any area where I have less experience. Glad to here it's useful from a full-stack perspective.
Re:Show HN: Self-Published Book – “Data Science in Production”
on Sunday January 05, 2020 @12:53PM (#21962675)
Sounds like there is a few requests for this, so I'll look to authoring a post on this. And also talk about motivation for going the self-publishing route.
You can follow me on Medium for this update: https://medium.com/@bgweber
Re:Show HN: Self-Published Book – “Data Science in Production”
on Sunday January 05, 2020 @12:52PM (#21962657)
Here's the complete source for the last text I authored using this pipeline:
https://github.com/bgweber/StartupDataScience/tree/master/bo...
You can use the same tooling to create an epub output, but the formatting will be substantially different.
Re:Show HN: Self-Published Book – “Data Science in Production”
on Sunday January 05, 2020 @12:50PM (#21962647)
I might do one of the trade-offs between self-publishing and working with a publisher. With Kindle Direct Publishing, it's pretty straight forward. It's more about the tooling to produce the text and the process of using Kindle Direct.
Show HN: Self-Published Book – “Data Science in Production”
Hi HN,Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects.To author the book, I used the Leanpub...
Show HN: I Self Published a Book on “Data Science in Production”
Hi HN,Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects.To author the book, I used the Leanpub...