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Machine Learning

curated by Camillo

23 people already started

About this learning path

Machine Learning

"A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E." - Tom Mitchel

includes the learning paths

Python

Calculus

Web resources
Start immediately and learn at your own pace.

Flexible schedule
Set and adhere to flexible deadlines.

Approx. 3 months to complete
Recommended 12 hours/week

Mostly English

Curator

Camillo Rohe curates
Machine Learning

This How it Works

You go Section by Section. In each Section you'll find resources containing:

1. Information

2. Educational content

3. Places to exchange infos

4. Applications, Tools

( 5. Entertaining content )

After studying a resource, you check it.

Learning Path

Section

1

»

Linear Regression

»

Statistical classification

»

Clustering

»

Machine learning problem framing Lessons

»

Maschinelles Lernen Video Lecture

»

Teachable Machine Web Application

»

Machine Learning Playground

Section

2

»

Overfitting

»

Bias-variance tradeoff

»

Goodhart's law Quote

»

Curse of dimensionality

»

Feature extraction

»

Machine Learning Clustering

»

Data Preparation and Feature Engineering in ML Lessons

»

Machine Learning Recipes with Josh Gordon Playlist

»

Machine Learning with Python Playlist

 

Scikit-Learn Software libray

Section

3

»

Gradient Descent Method

»

Loss Function Method

»

Machine Learning Video Lecture

»

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

»

Python Data Science Handbook E-Book

»

Testing and Debugging in Machine Learning Lessons

»

PyTorch Framework

»

TensorFlow Framework

»

Chris Albon

»

Seedbank Database

 

The AI Podcast Interviews

Section

4

»

Machine Learning Yearning E-Book

»

colah's blog Articles

»

Sebastian Ruder Articles

»

when trees fall Columns

»

An Introduction to Statistical Learning Book

»

Visualizing Data using T-SNE

»

Adversarial machine learning

»

Collaborative Filtering Technology

»

Mathematics for Machine Learning Specialization

»

Python Machine Learning Non-fictional

 

Kaggle Platform

 

Papers With Code Plattform

 

Lex Fridman Research Scientist