David A.

Interested in Artificial Intelligence 🤖, finance 💰 and basketball 🏀

[David Andrés @daansan_ml]

Is your data stack ready for the next wave of Business Intelligence?

I just finished diving into the brand-new 5th edition of "Mastering Tableau 2026" by Marleen M., and published by Packt. It’s a massive eye-opener for anyone working in analytics!

[David Andrés @daansan_ml]

🔗Full analysis here 👉 https://t.co/NwsAzU0Rj3

The pattern is becoming clear:

the winners may not be the companies with the “smartest” model

but the ones that own the path from user intent → completed work.

[David Andrés @daansan_ml]

What happens when the AI race stops being about models… and starts being about deployment, workflows, distribution, pricing, and execution? 🤔

This week made the shift impossible to ignore

[David Andrés @daansan_ml]

Discover more here, you can fully try it for FREE!
https://t.co/X0DuQEHyZQ

[David Andrés @daansan_ml]

🔒 What if you could train & evaluate ML models on highly sensitive data without ever seeing or moving the raw records?

I've been testing 𝘁𝗿𝗮𝗰𝗲𝗯𝗹𝗼𝗰, a clean collaborative workspace for secure/federated AI.

The full flow in 15 seconds👇

[David Andrés @daansan_ml]

New section! 𝐓𝐡𝐞 𝐖𝐞𝐞𝐤𝐥𝐲 𝐃𝐨𝐬𝐞 📰

A fast, no-fluff roundup of the AI and ML news that actually matters to you.

In 5 min, you'll get the key updates, launches, and shifts from 𝘁𝗵𝗲 𝗹𝗮𝘀𝘁 𝟳 𝗱𝗮𝘆𝘀 that could change how you build.

🧵👇

[David Andrés @daansan_ml]

Most ML courses stop at the notebook.
This one doesn’t.

The 8-Week ML, MLOps & Career Accelerator takes you from messy real-world data to a fully deployed cloud ML system; then helps you turn it into a stronger CV, LinkedIn profile, and portfolio.

https://t.co/5DTpCtkY2a

[David Andrés @daansan_ml]

What you build:
• 4 production-ready ML notebooks
• Kedro pipelines
• MLflow tracking
• SQL databases
• Dash UI
• CI/CD with GitHub Actions
• Docker
• DigitalOcean deployment
• Prefect orchestration
• Drift monitoring
• Personal site
• Optimized CV + LinkedIn profile

[David Andrés @daansan_ml]

Join this 𝐅𝐑𝐄𝐄 𝟑-𝐃𝐚𝐲 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐁𝐨𝐨𝐭𝐜𝐚𝐦𝐩 and learn by doing:

🗓️ Starts: 𝐓𝐨𝐦𝐨𝐫𝐫𝐨𝐰, April 20
🎯 The Goal: Build a real-world project from scratch
💻 The Format: 100% live coding

Join Free Bootcamp Now: https://t.co/te9rTic6EU

[David Andrés @daansan_ml]

Last days! Don't miss this opportunity! 👇

[David Andrés @daansan_ml]

Last days to join to this 🆓FREE MLOps Bootcamp🆓

📌Build a real-world project from scratch in 3 sessions.

📌Live coding (no fluff, just implementation).

Join here 👇
https://t.co/SWqQnf1JBJ

[David Andrés @daansan_ml]

𝗧𝗵𝗲 "𝗝𝘂𝗽𝘆𝘁𝗲𝗿 𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸" 𝘁𝗿𝗮𝗽 𝗶𝘀 𝗿𝗲𝗮𝗹. 🪤

Building models is easy. Building End-to-End Systems is where most Data Scientists get stuck.

👉 Register FREE here: https://t.co/SWqQnf1JBJ

[David Andrés @daansan_ml]

Join a 3-Day fully FREE MLOps Bootcamp.
Register in the link provided here👇

[David Andrés @daansan_ml]

𝗪𝗵𝘆 𝗷𝗼𝗶𝗻?
✅ No MLOps experience needed
✅ 8+ years of expertise
✅ 100% Hands-on coding
📅 Starts April 20
⚠️ Seats are limited!

Secure your spot now: 👉 https://t.co/SWqQnf1JBJ

[David Andrés @daansan_ml]

Stop getting stuck in Jupyter Notebooks and start building Real-World End-to-End ML Systems.

🤯Even if you have zero MLOps experience!

𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝗙𝗥𝗘𝗘 𝟯-𝗗𝗮𝘆 𝗟𝗶𝘃𝗲 𝗖𝗼𝗱𝗶𝗻𝗴 𝗕𝗼𝗼𝘁𝗰𝗮𝗺𝗽 𝗵𝗲𝗿𝗲 👇

[David Andrés @daansan_ml]

Building AI agents that "work on my machine" is easy.

Scaling them to thousands of users without bankrupting your cloud bill or corrupting chat histories? That's hard.

Here is how to harden your LangGraph architecture for 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻. 👇

[David Andrés @daansan_ml]

https://t.co/Qp3WAyP9V0

[David Andrés @daansan_ml]

Want to master Time Series, NLP, or Speech Recognition? Your journey begins with Recurrent Neural Networks (RNNs).

Unlike traditional networks, RNNs have a superpower: 𝗺𝗲𝗺𝗼𝗿𝘆.

Let's break down how they work. 👇

[David Andrés @daansan_ml]

Here you have the full article:
https://t.co/W8c7peXues

[David Andrés @daansan_ml]

Building an AI product?

You’re caught in a permanent three-way tug-of-war:
⚡️ Speed
🧠 Accuracy
💸 Cost

Most devs optimize for one and accidentally kill the others.

Here is a breakdown of the three metrics that will make or break your app. 🧵