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Algorithms for Massive Data

PDF:
https://arxiv.org/pdf/2301.00754

https://www.tgoop.com/DataScienceM πŸŒŸπŸ’―
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This channels is for Programmers, Coders, Software Engineers.

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Cheatsheet Machine Learning Algorithms

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πŸ“š Become a professional data scientist with these 17 resources!



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This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
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100 Important Data Science Interview Questions.pdf
11.7 MB
πŸ“– 100 Essential Data Science Interview Questions

πŸ‘¨πŸ»β€πŸ’» Preparing for a data science interview?
Reviewing fundamental questions is one of the best strategies for success. During the interview, it's crucial to communicate clearly and simplyβ€”especially when explaining complex models and data.
These 100 carefully selected questions will not only help you impress your interviewer but also boost your confidence throughout the interview process.


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πŸ’§ 18 of the best blogs to start and grow on your data science path!


πŸ‘¨πŸ»β€πŸ’» If I were to start my data journey all over again, I would follow these 18 blogs without a break!

πŸ’¬ The path to growth in data has nothing to do with your starting point, what matters is how consistently you learn.

βœ… These blogs are like a mentor in your email; every week a new insight, a learning, a new idea. πŸ‘‡


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Master PyTorch Faster with These Free Resources!
Whether you're just getting started with PyTorch or looking to refresh your deep learning skills, these two resources are all you need:

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Datasets Guide πŸ“š

A practical and beginner-friendly guide that walks you through everything you need to know about datasets in machine learning and deep learning. This guide explains how to load, preprocess, and use datasets effectively for training models. It's an essential resource for anyone working with LLMs or custom training workflows, especially with tools like Unsloth.

Importance:
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Open Guide to Data Structures and Algorithms

A must-read for anyone starting their journey in computer science and programming. This open-access book offers a clear, beginner-friendly introduction to the core concepts of data structures and algorithms, with simple explanations and practical examples. Whether you're a student or a self-learner, this guide is a solid foundation to build your DSA knowledge. Highly recommended for those who want to learn efficiently and effectively.

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πŸ“‚ 8 Steps to Mastering MLOps
βœ… For data scientists


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A Complete Course to Learn Robotics and Perception

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github.com/gtbook/robotics

roboticsbook.org/intro.html

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πŸ“• A Course in Reinforcement Learning by Dimitri P. Bertsekas

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πŸ”— Download the book here:
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ML Tools GRadio.pdf
203.3 KB
Gradio: The easiest way to demo your models.

- Core Idea: Quickly turn #ML models into interactive web apps.

- No frontend skills needed. It's all #Python.

- Works with any Python code, including custom functions.

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If you're looking to create interactive demos for your ML project, check out #Gradio!

♻️ Repost if you found this useful

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