Data Science Machine Learning Data Analysis
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This channel is for Programmers, Coders, Software Engineers.

1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
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Data Science Machine Learning Data Analysis
38.9K subscribers
Data Science Machine Learning Data Analysis
📌 Mastering t-SNE: A Comprehensive Guide to Understanding and Implementation in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-20 | ⏱️ Read time: 26 min read

Unlock the power of t-SNE for visualizing high-dimensional data, with a step-by-step Python implementation and…
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📌 Through the Uncanny Mirror: Do LLMs Remember Like the Human Mind?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-19 | ⏱️ Read time: 10 min read

Exploring the Eerie Parallels and Profound Differences Between AI and Human Memory
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📌 Improving Code Quality with Array and DataFrame Type Hints

🗂 Category:

🕒 Date: 2024-09-19 | ⏱️ Read time: 12 min read

How generic specification permits powerful static and runtime validation
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📌 Shared Nearest Neighbors: A More Robust Distance Metric

🗂 Category:

🕒 Date: 2024-09-19 | ⏱️ Read time: 36 min read

A distance metric that can improve prediction, clustering, and outlier detection in datasets with many…
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📌 AdEMAMix: A Deep Dive into a New Optimizer for Your Deep Neural Network

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-19 | ⏱️ Read time: 15 min read

A better and faster option than the ADAM optimizer, from Apple Research
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📌 The Evolution of Text to Video Models

🗂 Category: DEEP LEARNING

🕒 Date: 2024-09-19 | ⏱️ Read time: 10 min read

Simplifying the neural nets behind Generative Video Diffusion
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📌 How to Build Your Own Roadmap for a Successful Data Science Career

🗂 Category: CAREER ADVICE

🕒 Date: 2024-09-19 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
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📌 A Closer Look at Scipy’s Stats Module – Part 2

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-19 | ⏱️ Read time: 6 min read

Let’s learn the main methods from scipy.stats module in Python.
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📌 A Closer Look at Scipy’s Stats module – Part 1

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-19 | ⏱️ Read time: 7 min read

Let’s learn the main methods from scipy.stats module in Python.
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📌 Emerging Tech Is Nothing Without Methodology

🗂 Category: ANALYTICS

🕒 Date: 2024-09-19 | ⏱️ Read time: 6 min read

Or: a Hundred Ways to Solve a Complex Problem
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📌 A Visual Exploration of Semantic Text Chunking

🗂 Category: NATURAL LANGUAGE PROCESSING

🕒 Date: 2024-09-19 | ⏱️ Read time: 22 min read

Use embeddings and visualization tools to split text into meaningful chunks
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📌 Principal Component Analysis – Hands-On Tutorial

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-18 | ⏱️ Read time: 13 min read

Dimensionality reduction through Principal Component Analysis (PCA).
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📌 Uncertainty in Markov Decisions Processes: a Robust Linear Programming approach

🗂 Category: MATH

🕒 Date: 2024-09-18 | ⏱️ Read time: 8 min read

Theoretical derivation of the Robust Counterpart of Markov Decision Processes (MDPs) as a Linear Program…
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Forwarded from Python | Machine Learning | Coding | R
Today I am 3️⃣0️⃣ years old, I am excited to make more successes and achievements

My previous year was full of exciting events and economic, political and programmatic noise, but I kept moving forward

Best regards
Eng. @HusseinSheikho 🔤
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Data Science Machine Learning Data Analysis
📌 GPU Accelerated Polars – Intuitively and Exhaustively Explained

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-09-17 | ⏱️ Read time: 16 min read

Fast Dataframes for Big Problems
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📌 Polars + NVIDIA GPU Tutorial

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-17 | ⏱️ Read time: 4 min read

Using Polars with NVIDIA GPU can speed up your data pipelines
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📌 The Math Behind Kernel Density Estimation

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-17 | ⏱️ Read time: 13 min read

Exploring the foundations, concepts, and math of kernel density estimation
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📌 Model Management with MLflow, Azure, and Docker

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-09-17 | ⏱️ Read time: 11 min read

A guide to tracking experiments and managing models
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📌 Football and Geometry – Passing Networks

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-16 | ⏱️ Read time: 12 min read

Analyzing Bayer Leverkusen’s Passing Networks from Last Season
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📌 PySpark Explained: The InferSchema Problem

🗂 Category: DATA SCIENCE

🕒 Date: 2024-09-16 | ⏱️ Read time: 10 min read

Think before using this common option when reading large CSV’s
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📌 Introducing NumPy, Part 4: Doing Math with Arrays

🗂 Category:

🕒 Date: 2024-09-16 | ⏱️ Read time: 12 min read

Plus reading and writing array data!
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