Understanding RAG Part I: Why It’s Needed

Details: https://machinelearningmastery.com/understanding-rag-part-i-why-its-needed/

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CS229 Lectures Notes (2023)

By: Andrew Ng & Tengyu Ma

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Mathematics of an Artificial Neural Network

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New 20hr bootcamp on Probability & Statistics!!!

Videos released weekly but full playlist already posted:
https://youtube.com/playlist?list=PLMrJAkhIeNNR3sNYvfgiKgcStwuPSts9V&si=JnxwphTT7VXPPlS3

Probability & Statistics are cornerstones of data science and machine learning. This course rapidly covers the basics and gets into advanced topics.

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Three Ways of Storing and Accessing Lots of Images in Python

Link:https://realpython.com/storing-images-in-python/

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Check Internet Speed using Python

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Transformer by hand ✋

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11 types of variables in a Dataset

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Here’s the 2024 edition of the Daily Dose of Data Science archive.

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Density based clustering (DBSCAN), clearly explained

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Beginner's Guide to Multi-Agents

Video Recording: https://youtu.be/lGQ9rpfQBng

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Beginner's Guide to Multi-Agents - Slides

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Data Pre-Processing of Diabetes Data for reliable machine learning model

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🤩 Artificial intelligence assistant
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👨🏻‍💻 If you are looking for a professional assistant for Python programming, especially in the field of data science and artificial intelligence, you can use zzzcode.ai . This smart tool writes code for you and explains your codes!

✅ For example, I asked him to give me the GCNN model for the dataset and he also prepared the image output for me.

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"? Hi dear, I want to train a GCNN model on "MyDataset" dataset. Can you please write code in Python"

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How to deal with outliers clearly explained

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Using Normalization Layers to Improve Deep Learning Models

Link: https://machinelearningmastery.com/using-normalization-layers-to-improve-deep-learning-models/

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Python Pandas Cheat Sheet

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