Machine Learning Pills

Weekly pill-sized articles on key Machine Learning concepts. 🤖

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[David Andrés @daansan_ml]

For anyone ready to master RL, this book seems to cover it all—from foundational principles to the latest methods used in real-world industry!

It will be released by the end of this week! 👇
https://t.co/00CDk2hAt6

[David Andrés @daansan_ml]

I've just started reading the early review copy of "Deep Reinforcement Learning Hands-On" by Maxim Lapan, a practical guide packed with advanced applications!

Here’s what makes it a standout read 🧵 👇

[Josep Ferrer @iamjosepferrer]

SQL Joins clearly explained 👇🏻

[David Andrés @daansan_ml]

Learn more about snoop bias in this week's 💊 Pill👇

https://t.co/LvvdUExiyZ

[David Andrés @daansan_ml]

Be careful with cross validation 👇

[David Andrés @daansan_ml]

Check it out here:
https://t.co/latIRcjV9e

[David Andrés @daansan_ml]

The steps of any Data Science project 👇

[Machine Learning Pills @MLpills]

@rfeers Very nice explanation as usual🙂

[Josep Ferrer @iamjosepferrer]

How Python work in our computer clearly explained👇🏻

[David Andrés @daansan_ml]

EDA clearly explained 👇

[Josep Ferrer @iamjosepferrer]

How to make your LLMs smarter and more efficient explained!👇🏻

(Don't forget to bookmark for later 😉)

[David Andrés @daansan_ml]

Multi Query, an Advanced Retrieval Strategy for RAG, clearly explained 👇

[David Andrés @daansan_ml]

K-Nearest Neighbors clearly explained 👇

[Machine Learning Pills @MLpills]

Logistic Regression clearly explained 👇

[Machine Learning Pills @MLpills]

https://t.co/NxQ0t0OrrG

[Machine Learning Pills @MLpills]

Logistic Regression clearly explained 👇

[David Andrés @daansan_ml]

There are several types of data distributions you might encounter in a dataset.

Here are some common ones 👇🧵

[David Andrés @daansan_ml]

🚨NEVER split your data randomly!

At least when working with Time Series data...

Learn here what are the dangers of doing so 🧵 👇

[David Andrés @daansan_ml]

Retrieval refers to the process of finding and extracting relevant information or documents from a large collection or database in response to a query or information need.

Discover more 🧵 👇

[David Andrés @daansan_ml]

Let's discuss another retrieval method: "Maximum Marginal Relevance" or MMR.

👉 MMR balances relevance and diversity in search results.

Let's learn more about it 🧵 👇