Month: March 2022

ML and Python are linked together – all the major software (Scikit-Learn, Keras, Tensor-Flow, PyTorch) are written with Python and use Python libraries.  An introduction to ML software can be found here : Scikit-learn, TensorFlow, PyTorch, Keras… Machine Learning with Python Complete Python NumPy Tutorial  Real-World Python ML Tutorial     

Anaconda is the easiest way to start with ML and Python. It contains all the libraries needed and can be installed in Windows giving you a full Python interface to write, execute and display ML scripts.  You can find out Anaconda to download here:  Repository  Anaconda web site and Introduction  A tutorial for installing Anaconda … Read more

The following videos are introduction to ML lecture 1.1  Lectures 1.2 to 19 On YouTube The next videos will go further in the ML subject with special applications, such as convolution networks Neural Networks and Deep Learning – 43 short videos (less than 10 minutes)  Improving Deep Neural Networks : Tuning Hyper-parameters – 34 short … Read more

Sargur Srihari Department of Computer Science and Engineering, University at Buffalo Slides and Videos   Very complete course on ML with 19 chapters   Introduction to Regression  Quick introduction using cheat-sheets Cheat-sheets pdf  Machine learning regression (basic)  A quick Overview of regression in ML     

Good introduction to ML, Scikit etc … Hands-On Machine Learning with Scikit-Learn and TensorFlow  

instructors: Fei-Fei Li: http://vision.stanford.edu/feifeili/ Justin Johnson: http://cs.stanford.edu/people/jcjohns/ Serena Yeung: http://ai.stanford.edu/~syyeung/ Justin Johnson Follow the link below to see the video and get the link to the slides Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition Lecture 2 | Image Classification Lecture 3 | Loss Functions and Optimization Lecture 4 | Introduction to … Read more