DSA
numerical-linear-algebra
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3 | 10,016 | |
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0.0 | 0.0 | |
almost 3 years ago | 25 days ago | |
Jupyter Notebook | Jupyter Notebook | |
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DSA
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Beginner Friendly Data structure and algorithms Examples
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numerical-linear-algebra
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I'm a 42-years-old librarian whithout any math background and I'm willing to learn
If you really like to dig into math, I liked the Udacity course on Intro to Deeplearning with Pytorch. Also, the Stanford course CS231n Convolutional Neural Networks for Visual Recognition is a good place to understand some basics. Other two courses to get you jumpstarted are Practical Deep Learning for Coders and Linear Algebra Course by FastAI
- Hi, what are the advanced courses/books in machine learning and neural nets? And where do I find them?
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Math for Machine Learning!
I've also bookmarked Fast.Ai Computational Linear Algebra for Coders. https://github.com/fastai/numerical-linear-algebra/blob/master/README.md
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Textbook for computer algebra using Python?
In that case, I would probably be temped to teach a numerical methods of linear algebra course using NumPy / Numba. Something like https://github.com/fastai/numerical-linear-algebra or https://pythonnumericalmethods.berkeley.edu/notebooks/Index.html
- Interactive Linear Algebra Text Book
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OPEN SOURCE COMPUTER SCIENCE CURRICULUM
Computation Linear Algebra Lectures Study Material To do after completing curricula.
What are some alternatives?
Crack-Your-Placement - 🎯 Repo for placement-preparation, DSA, Problem-Solving, Competitive Programming, CS-Fundamentals
stacks-project - Repository for the Stacks Project
linkedlist - The first generic linked list in go :dancer:
pml-book - "Probabilistic Machine Learning" - a book series by Kevin Murphy
cornell-cs5785-2020-applied-ml - Teaching materials for the applied machine learning course at Cornell Tech (online edition)
course-nlp - A Code-First Introduction to NLP course
Data-Science-FLIGHT-DELAY-PREDICTION-HIT - Our project focuses on predicting flight delays using machine learning techniques. We employ feature engineering and advanced regression algorithms to enhance accuracy. The dataset includes flight info, weather conditions, and other relevant factors. Our model achieves 94% accuracy.
materials - Bonus materials, exercises, and example projects for our Python tutorials
microMathematics - microMathematics Plus - Extended visual calculator
idx2numpy_array - Convert data in IDX format in MNIST Dataset to Numpy Array using Python
NumPy - The fundamental package for scientific computing with Python.
social-perception - Studying sociopolitical attitudes and moving the human perspective using psychographic and sociodemographic data from the European Social Survey.