ML courses

machine learning COURSES

courses (all are free and have no ads)

classes: PCA, ML for artists, neural aesthetics

Practical Deep Learning For Coders

BLOG: Data Science and Robots

getting started

Research at Google, Google AI Residency Program

Intro to Python for Data Science,numpy

A Beginner’s Guide to Eigenvectors, PCA, Covariance and Entropy

matlplotlib, pandas,

data science course, paid

Deep Learning with python, 14-day mini-course

youtube channel

collection of videos

machine learning with MATLAB

staring with machine learning

Jason Brownlee BLOG

build a machine learning portfolio

Tensors Explained Intuitively: Covariant, Contravariant, Rank

Brandon Rohrer: How Deep Neural Networks Work

Tinker With a Neural Network in Your Browser

deep learning basics

the SemiColon: Deep Learning with Keras- a list


Interactive Data Visualization with Bokeh


Serverless Machine Learning with Tensorflow on Google Cloud Platform ,


CS231n Winter 2016: Lecture 4: Backpropagation, Neural Networks 1 , Lecture 12 Learning Neural Nets, Back Propagation

Siraj: How to Do Linear Regression using Gradient Descent

Udacity videos collection

How to Implement the Backpropagation Algorithm From Scratch In Python

A Step by Step Backpropagation Example

simple and configurable NN library in C, try it out online

Backpropagation Neural Network – How it Works e.g. Counting

A Neural Network in Python, Part 1: sigmoid function, gradient descent & backpropagation

Victor Lavrenko, Backpropagation: how it works


principal component analysis tutorial

Eigenvectors, Eigenvalues and Dimension Reduction

CompX: Mathematics of PCA – Covariance matrices

Victor Lavrenko: PCA 10: eigen-faces

M. Turk and A. Pentland, “Eigenfaces for Recognition”


a Simple Way to Prevent Neural Networks from Overfitting

computer vision ,

How to Use The Pre-Trained VGG Model to Classify Objects in Photographs


Stanford University, Coursera,

Deep Learning Specialization, Stanford Uni

Natural Language Processing from basic to advanced

advanced machine learning specialization, Higher School of Economics

applied plotting, charting and data representation in python, Michigan Uni

applied data science with python specialization


Sebastian Thrun, Ian Goodfellow, Andrew Trask, Siraj Raval

Sebastian Thrun , Machine Learning Engineer Nanodegree

Katie Malone, Sebastian Thrust,

intro to descriptive statistics

Intro to Inferential Statistics, Making Predictions from Data

Data Analysis Using NumPy and Pandas

Data Wrangling with MongoDB

Pattern Recognition for Fun and Profit


Computer Vision: OpenCV, GANs and Cutting Edge AI

Kirill & Hadelin,

SVM, K-Nearest Neighbours, Naive Bayes

Deep Learning with TensorFlow

Data Science, Deep Learning, & Machine Learning with Py


Data Science Foundations: Fundamentals


What is the variance-covariance matrix?

Variance-covariance matrix using matrix notation of factor analysis