Data Science Machine Learning Data Analysis

20x faster KMeans with Faiss!!

#KMeans uses a slow, exhaustive search to find the nearest centroids.

#Faiss uses "Inverted Index"—an optimized data structure to store and index data points for approximate neighbor search.

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4.52K viewsedited 07:22

Data Science Machine Learning Data Analysis

Forwarded from Python | Machine Learning | Coding | R

✔️

Awesome AI/ML Resources: Learn AI/ML for beginners with a roadmap and free resources.

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https://github.com/armankhondker/awesome-ai-ml-resources

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Data Science Machine Learning Data Analysis

Forwarded from Python | Machine Learning | Coding | R

✅ Free ML Books You Should Know!

1⃣ Dive into Deep Learning: https://d2l.ai

🔢 Deep Learning: https://deeplearningbook.org

🔢 Interpretable Machine Learning: https://christophm.github.io/interpretable-ml-book/

🔢 Machine Learning Yearning: https://info.deeplearning.ai/machine-learning-yearning-book

🔢 Mathematics for Machine Learning: https://mml-book.github.io

🔢 An Introduction to Statistical Learning: https://statlearning.com

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Data Science Machine Learning Data Analysis

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10 “Real Data Science Portfolio” Examples

1️⃣

Ken Jee Portfolio | Data Scientist

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Field: Sports data analysis

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Link: Portfolio

2️⃣

Yassine Alouini's Portfolio | Kegel Master

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Domain: Machine Learning and Kegel Competitions

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Link: Portfolio

3️⃣

Tatman Portfolio | Data Scientist

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Domain: Natural Language Processing (NLP)

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Link: Portfolio

4️⃣

Robinson Portfolio | Data Scientist

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Field: Statistical analysis and R programming

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Link: Portfolio

5️⃣

Siraj Raval's Portfolio | AI Instructor

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Field: Machine Learning and Artificial Intelligence

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Link: Portfolio

6️⃣

Julia Silge's Portfolio | Data Scientist

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Domain: Organized data and data visualization

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Link: Portfolio

7️⃣

Mueller Portfolio | Developer Scikit-Learn

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Field: Machine learning and open source projects

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Link: Portfolio

8️⃣

Wickham Portfolio | Data Scientist

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Area: R programming and data visualization

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Link: Portfolio

9️⃣

Portfolio of François Puget | Kegel Master

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Domain: Advanced Machine Learning Techniques

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Link: Portfolio

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Emily's Portfolio | Data Analyst at Disney

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Domain: Data visualization and storytelling

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Link: Portfolio

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Data Science Machine Learning Data Analysis

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Machine Learning Glossary

Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.

Link: https://ml-cheatsheet.readthedocs.io/en/latest/index.html

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4.71K views13:04

Data Science Machine Learning Data Analysis

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1:09:25

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MIT has updated its famous course 6.S191: Introduction to Deep Learning.

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All slides, #code and additional materials can be found at the link provided.

📌 Fresh lecture : https://youtu.be/alfdI7S6wCY?si=6682DD2LlFwmghew

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Data Science Machine Learning Data Analysis

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Numpy @CodeProgrammer.pdf

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🏳️‍🌈 "NumPy Library" Tutorial

👨🏻‍💻 For the past few days, I've been busy preparing this comprehensive tutorial on the NumPy library for data science, trying to cover all the tips and tricks of this library.

✅

Why is this booklet different? Because it is not written based on just theoretical concepts, but is the result of my own experiences and learning. It has real and practical examples that will help you better understand #NumPy concepts and use them in your projects.💯

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Data Science Machine Learning Data Analysis

👩‍💻 Prompt Engineering: A Practical Example

This real-world project tutorial covers zero-shot and few-shot prompting, delimiters, numbered steps, role prompts, chain-of-thought prompting, and more. Improve your LLM-assisted projects today.

Link: https://realpython.com/practical-prompt-engineering/

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5.14K viewsedited 11:12

Data Science Machine Learning Data Analysis

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🔖 The book that paved the way for me to "data science"!

👨🏻‍💻 "Where do I start now?" This was the first and biggest question I faced when I started my Data Science learning journey!

⏪ I was really overwhelmed by the large number of scattered sources, long courses, and specialized books full of heavy terminology. I didn't know how to start and move forward in this direction...

✔️ But the book Intro to Data Science with Python changed everything for me and gave me a new perspective!

✏️ This book is a complete guide to starting from scratch and is great for both beginners and professionals in this field!! From coding with Python to working with data, visualization, and even AI tools, it explains everything in the simplest and most practical way possible.

💸 A great start for anyone looking to learn data science with Python!👇

┌ 🏳️‍🌈 Intro to Data Science with Python
├ 📄 E-book
└ 🐱 GitHub-Repos

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Data Science Machine Learning Data Analysis

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course lecture on building Transformers from first principles:
https://www.dropbox.com/scl/fi/jhfgy8dnnvy5qq385tnms/lectureattentionneuralnetworks.pdf?rlkey=fddnkonsez76mf8bzider3hrv&dl=0

The #PyTorch notebooks also demonstrate how to implement #Transformers from scratch:
https://github.com/xbresson/CS52422025/tree/main/labslecture07

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Data Science Machine Learning Data Analysis

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Pandas Introduction to Advanced.pdf

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"Pandas Introduction to Advanced" booklet

👨🏻‍💻 You can't attend a #datascience interview and not be asked about Pandas! But you don't have to memorize all its methods and functions! With this booklet, you'll learn everything you need.

✔️ One of the most useful and interesting combinations is using #Pandas with #AWS Lambda, which can be very useful in real projects.

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Data Science Machine Learning Data Analysis

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Data Science Machine Learning Data Analysis

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Exercises in Machine Learning

This book contains 75+ exercises

Download, read, and practice:
arxiv.org/pdf/2206.13446

GitHub Repo: https://github.com/michaelgutmann/ml-pen-and-paper-exercises

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Data Science Machine Learning Data Analysis

Forwarded from Python | Machine Learning | Coding | R

Linear Algebra

The 2nd best book on linear algebra with ~1000 practice problems. A MUST for AI & Machine Learning.

Completely FREE.

Download it: https://www.cs.ox.ac.uk/files/12921/book.pdf

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Data Science Machine Learning Data Analysis

#MachineLearning Systems — Principles and Practices of Engineering Artificially Intelligent Systems: https://mlsysbook.ai/

open-source textbook focuses on how to design and implement AI systems effectively

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9.36K viewsedited 06:47

Data Science Machine Learning Data Analysis

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🔗 Machine Learning from Scratch by Danny Friedman

https://dafriedman97.github.io/mlbook/content/introduction.html

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Data Science Machine Learning Data Analysis

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"Introduction to Probability for Data Science"

One of the best books on #Probability. Available FREE.

Download the book:
probability4datascience.com/download.html

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4.11K views20:50

Data Science Machine Learning Data Analysis

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SciPy.pdf

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Unlock the full power of SciPy with my comprehensive cheat sheet!
Master essential functions for:

Function optimization and solving equations

Linear algebra operations

ODE integration and statistical analysis

Signal processing and spatial data manipulation

Data clustering and distance computation ...and much more!

💯

BEST DATA SCIENCE CHANNELS ON TELEGRAM

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