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1. github.com › julianyulu › Machine-Learning-NotesGitHub - julianyulu/Machine-Learning-Notes: Lecture Notes of ...

   github.com › julianyulu › Machine-Learning-Notes

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   Hard-written notes and Lecture pdfs from Machine Learning course by Andrew Ng on Coursera. Week1: Linear regression with one variable. Machine learning defination; Supervised / Unsupervised Learning; Linear regression with one variable; Cost function, learning rate; Batch gradient descent; Week2: Linear regression with multiple variables

2. see.stanford.edu › materials › aimlcs229CS229 Lecture notes - Stanford Engineering Everywhere

   see.stanford.edu › materials › aimlcs229

   CS229 Lecture notes Andrew Ng Supervised learning Lets start by talking about a few examples of supervised learning problems. ... (In general, when designing a learning problem, it will be up to you to decide what features to choose, so if you are out in Portland gathering housing data, you might also decide to include other features such as ...

3. github.com › pmulard › machine-learning-specialization-andrew-ngMachine Learning Specialization with Andrew Ng - GitHub

   github.com › pmulard › machine-learning-specialization-andrew-ng

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   This repository contains a collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization. The specialization consists of three courses: Supervised Machine Learning: Regression and Classification. Advanced Learning Algorithms.

4. sgfin.github.io › files › notesCS229 Lecture notes - GitHub Pages

   sgfin.github.io › files › notes

   CS229 Lecture notes Andrew Ng Supervised learning Let’s start by talking about a few examples of supervised learning problems. Suppose we have a dataset giving the living areas and prices of 47 houses ... To perform supervised learning, we must decide how we’re going to rep-

5. www.youtube.com › playlistStanford CS229: Machine Learning Full Course taught by Andrew Ng...

   www.youtube.com › playlist

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   Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pat ...More. Play all. 1:15:20. Stanford CS229: Machine Learning Course, Lecture 1 -...

6. www.coursera.org › collections › machine-learningAndrew Ng’s Machine Learning Collection | Coursera

   www.coursera.org › collections › machine-learning

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   Andrew Ng’s Machine Learning Collection. Courses and specializations from leading organizations and universities, curated by Andrew Ng. Andrew Ng is founder of DeepLearning.AI, general partner at AI Fund, chairman and cofounder of Coursera, and an adjunct professor at Stanford University.

7. www.coursera.org › learn › machine-learningSupervised Machine Learning: Regression and Classification

   www.coursera.org › learn › machine-learning

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   Instructors: Andrew Ng. +3 more. Top Instructor. Enroll for Free. Starts May 1. Financial aid available. 615,369 already enrolled. About. Outcomes. Modules. Recommendations. Testimonials. Reviews. What you'll learn. Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn.