Data Science Machine Learning Data Analysis
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1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
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πŸ“Œ Encoding Categorical Data, Explained: A Visual Guide with Code Example for Beginners

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-02 | ⏱️ Read time: 10 min read

Six ways of matchmaking categories and numbers
πŸ“Œ An Easy Way to Remove Tourists from Photos

πŸ—‚ Category: PYTHON

πŸ•’ Date: 2024-09-02 | ⏱️ Read time: 9 min read

Image cleanup with Python, PIL, and OpenCV
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πŸ“Œ Mathematics of Love: Optimizing a Dining-Room Seating Arrangement for Weddings with Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-09-02 | ⏱️ Read time: 19 min read

Solving the Restricted Quadratic Multi-Knapsack Problem (RQMKP) with mathematical programming and Python
πŸ“Œ Create Your Own Meal Planner Using ChatGPT

πŸ—‚ Category: CHATGPT

πŸ•’ Date: 2024-09-02 | ⏱️ Read time: 19 min read

A brief guide to prompt engineering
πŸ“Œ Training AI Models on CPU

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-09-01 | ⏱️ Read time: 16 min read

Revisiting CPU for ML in an Era of GPU Scarcity
πŸ“Œ Building Scalable Data Platforms

πŸ—‚ Category: ANALYTICS

πŸ•’ Date: 2024-09-01 | ⏱️ Read time: 14 min read

Data Mesh trends in data platform design
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πŸ“Œ The DIY Path to AI Product Management: Picking a Starter Project

πŸ—‚ Category: CHATGPT

πŸ•’ Date: 2024-08-31 | ⏱️ Read time: 8 min read

Building real-world skills through hands-on trial and error.
πŸ“Œ Streamline Property Data Management: Advanced Data Extraction & Retrieval with Indexify

πŸ—‚ Category:

πŸ•’ Date: 2024-08-31 | ⏱️ Read time: 15 min read

A Step-by-Step Guide to Document Querying with Indexify
πŸ“Œ Data Scientists Can’t Excel in Python Without Mastering These Functions

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-31 | ⏱️ Read time: 11 min read

Introduction of Python’s core functions, use cases, scripts, and underlying mechanisms
πŸ“Œ How to Deal with Time Series Outliers

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-31 | ⏱️ Read time: 6 min read

Understanding, detecting and replacing outliers in time series
πŸ“Œ Essential Guide to Continuous Ranked Probability Score (CRPS) for Forecasting

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-31 | ⏱️ Read time: 7 min read

Learn how to evaluate probabilistic forecasts and how CRPS relates to other metrics
πŸ“Œ The Ultimate Guide to Vision Transformers

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 8 min read

A comprehensive guide to the Vision Transformer (ViT) that revolutionized computer vision.
πŸ“Œ Targeting variants for maximum impact

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 8 min read

How to use causal inference to improve key business metrics Egor Kraev and Alexander Polyakov…
πŸ“Œ Navigating the New Types of LLM Agents and Architectures

πŸ—‚ Category:

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 12 min read

My thanks to John Gilhuly for his contributions to this piece If 2023 was the…
πŸ“Œ Decision Tree Classifier, Explained: A Visual Guide with Code Examples for Beginners

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 11 min read

A fresh look on our favorite upside-down tree
πŸ“Œ ChatGPT vs. Claude vs. Gemini for Data Analysis (Part 3): Best AI Assistant for Machine Learning

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 12 min read

How AI can accelerate your ML projects from feature engineering to model training
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Awesome interactive textbook on probability theory and statistics

Inside are clear visualizations, interactive elements, and minimal dry theory. You can tweak distributions, sample datasets, play with confidence intervals, and clearly see how it all works

Get it here, I recommend opening it on a desktop
https://seeing-theory.brown.edu/

πŸ‘‰ @DataScienceM
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πŸ“Œ Compressing Large Language Models (LLMs)

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 12 min read

Make LLMs 10X smaller without sacrificing performance
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πŸ“Œ A Comprehensive Introduction to Marketing Data Engineering

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 21 min read

Fundamentals, responsibilities, and challenges
πŸ“Œ Hands On Neural Networks and Time Series, with Python

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 14 min read

From the very simple Feed Forward Neural Networks to the majestic transformers: everything you need…
πŸ“Œ The Power of Pandas Plots: Backends

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2024-08-30 | ⏱️ Read time: 6 min read

Create interactive graphics from Pandas effortlessly