Santiago Viquez
@santiviquez.com
ML @ NannyML. Writing “The Little Book of ML Metrics” https://www.nannyml.com/metrics?via=santiago
Personal website: https://www.santiviquez.com
Personal website: https://www.santiviquez.com
What’s the best way to track the progress of my book, The Little Book of ML Metrics?
1️⃣ Visit the book’s repo: github.com/NannyML/The-...
2️⃣ Download the latest digital WIP version.
3️⃣ Start reading while I keep writing.
It gets updated every time I push new changes.
1️⃣ Visit the book’s repo: github.com/NannyML/The-...
2️⃣ Download the latest digital WIP version.
3️⃣ Start reading while I keep writing.
It gets updated every time I push new changes.
March 11, 2025 at 3:43 PM
What’s the best way to track the progress of my book, The Little Book of ML Metrics?
1️⃣ Visit the book’s repo: github.com/NannyML/The-...
2️⃣ Download the latest digital WIP version.
3️⃣ Start reading while I keep writing.
It gets updated every time I push new changes.
1️⃣ Visit the book’s repo: github.com/NannyML/The-...
2️⃣ Download the latest digital WIP version.
3️⃣ Start reading while I keep writing.
It gets updated every time I push new changes.
It's happening!
Join us next week to ask Sebastian Raschka anything!
📅 Date: February 11th
⏰ Time: 10:00 AM – 11:00 AM EST
📍 Register: lu.ma/evqa4rct
Join us next week to ask Sebastian Raschka anything!
📅 Date: February 11th
⏰ Time: 10:00 AM – 11:00 AM EST
📍 Register: lu.ma/evqa4rct
February 9, 2025 at 8:45 PM
It's happening!
Join us next week to ask Sebastian Raschka anything!
📅 Date: February 11th
⏰ Time: 10:00 AM – 11:00 AM EST
📍 Register: lu.ma/evqa4rct
Join us next week to ask Sebastian Raschka anything!
📅 Date: February 11th
⏰ Time: 10:00 AM – 11:00 AM EST
📍 Register: lu.ma/evqa4rct
Super proud to work at a place that values open science.
Four years ago, at NannyML, we invented the first version of Confidence-Based Performance Estimation. Today, a paper about it was published in JAIR.
JAIR: jair.org/index.php/ja...
ArXiv: arxiv.org/abs/2407.08649
Four years ago, at NannyML, we invented the first version of Confidence-Based Performance Estimation. Today, a paper about it was published in JAIR.
JAIR: jair.org/index.php/ja...
ArXiv: arxiv.org/abs/2407.08649
January 21, 2025 at 11:31 PM
Super proud to work at a place that values open science.
Four years ago, at NannyML, we invented the first version of Confidence-Based Performance Estimation. Today, a paper about it was published in JAIR.
JAIR: jair.org/index.php/ja...
ArXiv: arxiv.org/abs/2407.08649
Four years ago, at NannyML, we invented the first version of Confidence-Based Performance Estimation. Today, a paper about it was published in JAIR.
JAIR: jair.org/index.php/ja...
ArXiv: arxiv.org/abs/2407.08649
Took me over an hour to fully understand the computation behind the Pair Confusion Matrix.
Hopefully, it’ll take you a lot less after reading my explanation in "The Little Book of ML Metrics"
www.nannyml.com/metrics?via=...
Hopefully, it’ll take you a lot less after reading my explanation in "The Little Book of ML Metrics"
www.nannyml.com/metrics?via=...
January 18, 2025 at 9:48 PM
Took me over an hour to fully understand the computation behind the Pair Confusion Matrix.
Hopefully, it’ll take you a lot less after reading my explanation in "The Little Book of ML Metrics"
www.nannyml.com/metrics?via=...
Hopefully, it’ll take you a lot less after reading my explanation in "The Little Book of ML Metrics"
www.nannyml.com/metrics?via=...
You can just do many things.
Yesterday was my first day at culinary school!
Yesterday was my first day at culinary school!
January 18, 2025 at 12:32 AM
You can just do many things.
Yesterday was my first day at culinary school!
Yesterday was my first day at culinary school!
If people don’t think what you do is cringe, then you’re not pushing hard enough.
Every person you admire was once considered cringe by someone.
A Writer, YouTuber, Founder, Musician, you name it. They all got to where they are because they constantly shared their work with the world. Constantly.
Every person you admire was once considered cringe by someone.
A Writer, YouTuber, Founder, Musician, you name it. They all got to where they are because they constantly shared their work with the world. Constantly.
January 16, 2025 at 4:35 AM
If people don’t think what you do is cringe, then you’re not pushing hard enough.
Every person you admire was once considered cringe by someone.
A Writer, YouTuber, Founder, Musician, you name it. They all got to where they are because they constantly shared their work with the world. Constantly.
Every person you admire was once considered cringe by someone.
A Writer, YouTuber, Founder, Musician, you name it. They all got to where they are because they constantly shared their work with the world. Constantly.
Writing a tech blog people want to read
What I think about when I write blog posts
www.seangoedecke.com
January 15, 2025 at 3:49 PM
We’re deciding what book to read next in the "AI from Scratch" study group.
So far, we have these two:
1. AI Engineering by Chip Huyen
2. Hands-On Generative AI with Transformers and Diffusion Models by Omar Sanseviero and gang
Any other suggestions?
So far, we have these two:
1. AI Engineering by Chip Huyen
2. Hands-On Generative AI with Transformers and Diffusion Models by Omar Sanseviero and gang
Any other suggestions?
January 13, 2025 at 9:03 PM
We’re deciding what book to read next in the "AI from Scratch" study group.
So far, we have these two:
1. AI Engineering by Chip Huyen
2. Hands-On Generative AI with Transformers and Diffusion Models by Omar Sanseviero and gang
Any other suggestions?
So far, we have these two:
1. AI Engineering by Chip Huyen
2. Hands-On Generative AI with Transformers and Diffusion Models by Omar Sanseviero and gang
Any other suggestions?
Reposted by Santiago Viquez
• Work hard
• Keep learning
• Cherish loved ones
• Find people who inspire you
• Be kind & egoless
• Eat healthy, exercise, sleep well
• Read & write
• Practice gratitude & meditate
• Be present
• Enjoy food & nature
• Don’t sweat the small stuff
• Smile =)
• Keep learning
• Cherish loved ones
• Find people who inspire you
• Be kind & egoless
• Eat healthy, exercise, sleep well
• Read & write
• Practice gratitude & meditate
• Be present
• Enjoy food & nature
• Don’t sweat the small stuff
• Smile =)
January 12, 2025 at 11:45 PM
• Work hard
• Keep learning
• Cherish loved ones
• Find people who inspire you
• Be kind & egoless
• Eat healthy, exercise, sleep well
• Read & write
• Practice gratitude & meditate
• Be present
• Enjoy food & nature
• Don’t sweat the small stuff
• Smile =)
• Keep learning
• Cherish loved ones
• Find people who inspire you
• Be kind & egoless
• Eat healthy, exercise, sleep well
• Read & write
• Practice gratitude & meditate
• Be present
• Enjoy food & nature
• Don’t sweat the small stuff
• Smile =)
First AI from Scratch session of 2025!
A big thanks to @carloscapote.bsky.social and Michael Erasmus for their excellent explanations in today's meeting.
A big thanks to @carloscapote.bsky.social and Michael Erasmus for their excellent explanations in today's meeting.
January 12, 2025 at 9:19 PM
First AI from Scratch session of 2025!
A big thanks to @carloscapote.bsky.social and Michael Erasmus for their excellent explanations in today's meeting.
A big thanks to @carloscapote.bsky.social and Michael Erasmus for their excellent explanations in today's meeting.
Forgot to share the news, but here it is:
Our NannyML open-source package reached 2,000 GitHub stars! 🌟
Slowly but steadily 💪
Our NannyML open-source package reached 2,000 GitHub stars! 🌟
Slowly but steadily 💪
January 10, 2025 at 5:58 PM
Forgot to share the news, but here it is:
Our NannyML open-source package reached 2,000 GitHub stars! 🌟
Slowly but steadily 💪
Our NannyML open-source package reached 2,000 GitHub stars! 🌟
Slowly but steadily 💪
Another one from the book.
Log Loss (aka cross-entropy loss)!
---
If you're interested in more metric descriptions like this one, check out the book I'm writing: The Little Book of ML Metrics.
GitHub Repo: github.com/NannyML/The-...
Pre-order the book:https://www.nannyml.com/metrics
Log Loss (aka cross-entropy loss)!
---
If you're interested in more metric descriptions like this one, check out the book I'm writing: The Little Book of ML Metrics.
GitHub Repo: github.com/NannyML/The-...
Pre-order the book:https://www.nannyml.com/metrics
January 9, 2025 at 5:08 PM
Another one from the book.
Log Loss (aka cross-entropy loss)!
---
If you're interested in more metric descriptions like this one, check out the book I'm writing: The Little Book of ML Metrics.
GitHub Repo: github.com/NannyML/The-...
Pre-order the book:https://www.nannyml.com/metrics
Log Loss (aka cross-entropy loss)!
---
If you're interested in more metric descriptions like this one, check out the book I'm writing: The Little Book of ML Metrics.
GitHub Repo: github.com/NannyML/The-...
Pre-order the book:https://www.nannyml.com/metrics
Which ranking metrics am I missing?
In the coming weeks, I'll be working on the ranking chapter for "The Little Book of ML Metrics", and I want to make sure I'm not missing any popular ranking/recsys metrics.
In the coming weeks, I'll be working on the ranking chapter for "The Little Book of ML Metrics", and I want to make sure I'm not missing any popular ranking/recsys metrics.
January 8, 2025 at 8:57 PM
Which ranking metrics am I missing?
In the coming weeks, I'll be working on the ranking chapter for "The Little Book of ML Metrics", and I want to make sure I'm not missing any popular ranking/recsys metrics.
In the coming weeks, I'll be working on the ranking chapter for "The Little Book of ML Metrics", and I want to make sure I'm not missing any popular ranking/recsys metrics.
Every time you say "garbage in, garbage out" an ML model dies.
January 7, 2025 at 6:43 PM
Every time you say "garbage in, garbage out" an ML model dies.
ML Books I'll Be Reading in 2025 📚
1. "AI Engineering: Building Applications with Foundation Models" (Huyen, 2024): amzn.to/4gtQgJo
We’ll probably read it in the study group "AI from Scratch."
1. "AI Engineering: Building Applications with Foundation Models" (Huyen, 2024): amzn.to/4gtQgJo
We’ll probably read it in the study group "AI from Scratch."
January 2, 2025 at 2:59 PM
ML Books I'll Be Reading in 2025 📚
1. "AI Engineering: Building Applications with Foundation Models" (Huyen, 2024): amzn.to/4gtQgJo
We’ll probably read it in the study group "AI from Scratch."
1. "AI Engineering: Building Applications with Foundation Models" (Huyen, 2024): amzn.to/4gtQgJo
We’ll probably read it in the study group "AI from Scratch."
During the pandemic—specifically, on May 7, 2020—I wrote some goals on a piece of paper. I folded it, stored it in my wallet, and forgot about it.
Today, I found it and realized I’ve accomplished all of them.
Today, I found it and realized I’ve accomplished all of them.
December 30, 2024 at 4:17 AM
During the pandemic—specifically, on May 7, 2020—I wrote some goals on a piece of paper. I folded it, stored it in my wallet, and forgot about it.
Today, I found it and realized I’ve accomplished all of them.
Today, I found it and realized I’ve accomplished all of them.
I wrote a retrospective about my 2024, reflecting on all the amazing things that happened to me—and the not-so-amazing ones.
Feeling grateful and extremely excited about 2025!
www.santiviquez.com/blog/2024-re...
Feeling grateful and extremely excited about 2025!
www.santiviquez.com/blog/2024-re...
2024 Year in Review
A review of the year 2024. What I did, what I learned, and what I want to do in 2025.
www.santiviquez.com
December 29, 2024 at 1:36 PM
I wrote a retrospective about my 2024, reflecting on all the amazing things that happened to me—and the not-so-amazing ones.
Feeling grateful and extremely excited about 2025!
www.santiviquez.com/blog/2024-re...
Feeling grateful and extremely excited about 2025!
www.santiviquez.com/blog/2024-re...
If you're feeling generous and want to buy me a Christmas present while also getting yourself one, hit that pre-order button! 😂
Just kidding—sharing this would mean the world to me too 🫶
📔About the book: www.nannyml.com/metrics?via=...
Just kidding—sharing this would mean the world to me too 🫶
📔About the book: www.nannyml.com/metrics?via=...
The Little Book of ML Metrics
The book every data scientist needs on their desk. Metrics are arguably the most important part of data science work, yet they are rarely taught in courses or university degrees. Even senior data scie...
www.nannyml.com
December 23, 2024 at 2:13 PM
If you're feeling generous and want to buy me a Christmas present while also getting yourself one, hit that pre-order button! 😂
Just kidding—sharing this would mean the world to me too 🫶
📔About the book: www.nannyml.com/metrics?via=...
Just kidding—sharing this would mean the world to me too 🫶
📔About the book: www.nannyml.com/metrics?via=...
Hear me out.
Post-deployment data science.
The part of data science that focuses on models after they have been deployed.
- Checking if the model is delivering value.
- Continuously estimating model performance.
- Understanding performance issues and fixing them.
Post-deployment data science.
The part of data science that focuses on models after they have been deployed.
- Checking if the model is delivering value.
- Continuously estimating model performance.
- Understanding performance issues and fixing them.
December 20, 2024 at 5:19 PM
Hear me out.
Post-deployment data science.
The part of data science that focuses on models after they have been deployed.
- Checking if the model is delivering value.
- Continuously estimating model performance.
- Understanding performance issues and fixing them.
Post-deployment data science.
The part of data science that focuses on models after they have been deployed.
- Checking if the model is delivering value.
- Continuously estimating model performance.
- Understanding performance issues and fixing them.
Univariate data drift doesn't show the full picture.
Take a look at this demo created by my colleague @anopsy.bsky.social
There are two univariate distributions (top and right) which remain almost unchanged during the whole process.
Take a look at this demo created by my colleague @anopsy.bsky.social
There are two univariate distributions (top and right) which remain almost unchanged during the whole process.
December 17, 2024 at 6:21 PM
Univariate data drift doesn't show the full picture.
Take a look at this demo created by my colleague @anopsy.bsky.social
There are two univariate distributions (top and right) which remain almost unchanged during the whole process.
Take a look at this demo created by my colleague @anopsy.bsky.social
There are two univariate distributions (top and right) which remain almost unchanged during the whole process.
Yesterday I forgot to post about our study group meeting 😅
It was an amazing one! @carloscapote.bsky.social walked us through Chapter 5: Pretraining on Unlabeled Data.
Next week, we’ll take a short break, but we’ll be back after the holidays to finish Chapters 6 and 7 💪
It was an amazing one! @carloscapote.bsky.social walked us through Chapter 5: Pretraining on Unlabeled Data.
Next week, we’ll take a short break, but we’ll be back after the holidays to finish Chapters 6 and 7 💪
December 16, 2024 at 5:10 PM
Yesterday I forgot to post about our study group meeting 😅
It was an amazing one! @carloscapote.bsky.social walked us through Chapter 5: Pretraining on Unlabeled Data.
Next week, we’ll take a short break, but we’ll be back after the holidays to finish Chapters 6 and 7 💪
It was an amazing one! @carloscapote.bsky.social walked us through Chapter 5: Pretraining on Unlabeled Data.
Next week, we’ll take a short break, but we’ll be back after the holidays to finish Chapters 6 and 7 💪
Reposted by Santiago Viquez
I've almost completed the preparations for the session about pretraining. For the moment, I'm pretty happy with the results. Sebastian's book is a source of information and inspiration. Now I've so many ideas about how to inspect an LLM to understand it better. 🎉 github.com/elcapo/llm-f...
llm-from-scratch/chapter-5.ipynb at main · elcapo/llm-from-scratch
Implementation of an LLM from scratch following Sebastian Raschka's book. - elcapo/llm-from-scratch
github.com
December 13, 2024 at 8:39 PM
I've almost completed the preparations for the session about pretraining. For the moment, I'm pretty happy with the results. Sebastian's book is a source of information and inspiration. Now I've so many ideas about how to inspect an LLM to understand it better. 🎉 github.com/elcapo/llm-f...
F1-score often takes all the credit. But what F1-score doesn't want you to know is that it wouldn't be so popular without its big brother, F-beta.
Check out other metrics at:
github.com/NannyML/The-...
Check out other metrics at:
github.com/NannyML/The-...
December 12, 2024 at 4:21 PM
F1-score often takes all the credit. But what F1-score doesn't want you to know is that it wouldn't be so popular without its big brother, F-beta.
Check out other metrics at:
github.com/NannyML/The-...
Check out other metrics at:
github.com/NannyML/The-...
My notes from Chapter 4: "Implementing a GPT Model from Scratch to Generate Text"
www.santiviquez.com/blog/llm-scr...
www.santiviquez.com/blog/llm-scr...
December 10, 2024 at 9:08 PM
My notes from Chapter 4: "Implementing a GPT Model from Scratch to Generate Text"
www.santiviquez.com/blog/llm-scr...
www.santiviquez.com/blog/llm-scr...