Ryota-Kawamura / Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
☆505Updated last year
Alternatives and similar repositories for Mathematics-for-Machine-Learning-and-Data-Science-Specialization:
Users that are interested in Mathematics-for-Machine-Learning-and-Data-Science-Specialization are comparing it to the libraries listed below
- Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes☆617Updated last year
- This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Impe…☆91Updated last year
- Notebooks and notes from going through Deeplearning.AI's linear algebra course☆55Updated 2 years ago
- Coursera - Mathematics for Machine Learning and Data Science Specialization - DeepLearning.ai☆24Updated last year
- This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.☆105Updated 11 months ago
- This repository is composed of Solution notebooks for Course 1 of Machine Learning Specialization taught by Andrew N.g. on Coursera.☆87Updated 2 years ago
- This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on …☆153Updated 2 years ago
- This respository having all my notes of Machine learning specialization course by Deep learning.ai☆103Updated 9 months ago
- Contains Solutions to Deep Learning Specailization - Coursera☆402Updated 2 years ago
- This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI☆30Updated last year
- Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques t…☆927Updated last year
- A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.☆695Updated last year
- These are Some useful ebook☆189Updated 2 years ago
- Full Notes of Andrew Ng's Coursera Machine Learning.☆218Updated 3 years ago
- Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Organized by project, each directory cont…☆358Updated 3 months ago
- 2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments☆255Updated 2 years ago
- Coursera : Deep Learning Specialization by Andrew Ng☆22Updated 3 years ago
- DeepLearning.AI TensorFlow Developer Professional Certificate☆205Updated last year
- A curated list of Best Artificial Intelligence Resources☆1,191Updated 7 months ago
- A roadmap for getting started with Machine Learning☆402Updated last week
- This is Andrew NG Coursera Handwritten Notes.☆2,911Updated last year
- This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.☆80Updated 2 years ago
- Books related to Artificial Intelligence, Machine Learning, Deep Learning and Neural Networks☆333Updated 3 years ago
- This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera T…☆74Updated 2 years ago
- ☆366Updated 4 years ago
- Coursera Machine Learning By Prof. Andrew Ng☆649Updated 5 years ago
- Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera☆296Updated last year
- A curated list of FREE courses available online from top universities of the world on CS-DS-ML!☆177Updated last year
- Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Cours…☆79Updated 2 years ago
- Machine Learning Course - Coursera☆26Updated 2 years ago