Andrew-NG-Notes VS Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera

Compare Andrew-NG-Notes vs Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera and see what are their differences.

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Andrew-NG-Notes Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
1 4
2,266 290
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0.0 6.3
2 months ago 11 months ago
Jupyter Notebook Jupyter Notebook
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Andrew-NG-Notes

Posts with mentions or reviews of Andrew-NG-Notes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-18.

Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera

Posts with mentions or reviews of Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Andrew-NG-Notes and Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera you can also consider the following projects:

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

gdrl - Grokking Deep Reinforcement Learning

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

fsdl-text-recognizer-2022-labs - Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

Basic-Mathematics-for-Machine-Learning - The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

DeepNeuralNetworksFromScratch - Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.

ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

strategy-ml-nn - This example shows how to use neural networks for writing a trading system on stocks.

coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

embedml - pytorch like machine learning framework from scratch

Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.