Stanford’s Machine Learning - by Andrew Ng
A complete lecture notes of 227 pages. Available Free.
Download the notes:
cs229.stanford.edu/main_notes.pdf
A complete lecture notes of 227 pages. Available Free.
Download the notes:
cs229.stanford.edu/main_notes.pdf
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"Data Structures & Algorithms using Python"
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This book of 222 pages implements all types of #DATASTRUCTURES and #ALGORITHMS. And it's
Download Free: https://donsheehy.github.io/datastructures/fullbook.pdf
By: https://t.me/DataScience4
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"Machine Learning & LLMs for Beginners"
Don't miss these 2 books of 100-pages. Both are #FREE to read.
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themlbook.com/wiki/doku.php
🌟 The Hundred-Page Language Model Book:
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Stanford's "Design and Analysis of Algorithms" Winter 2025
Lecture Notes & Slides: https://stanford-cs161.github.io/winter2025/lectures/
Lecture Notes & Slides: https://stanford-cs161.github.io/winter2025/lectures/
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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
One of the best books on #Probability. Available FREE.
Download the book:
probability4datascience.com/download.html
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100 Important Data Science Interview Questions.pdf
11.7 MB
👨🏻💻 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 simply—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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