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

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

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

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.

What are some alternatives?

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

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

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

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

gdrl - Grokking Deep Reinforcement Learning

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

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

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

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

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

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

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.