Dive Right Into Machine Learning With These Free Courses
A list of the best free introductory courses on the internet.
Below are links to some of the best material to start learning about machine learning for free ! These are videos from Udacity, classcentral, YouTube, Google, Fast.ai, and many more, so dive on in !
Udacity Machine Learning Intro
Udacity Intro to Statistics
Udacity Intro to Data Science
Udacity Machine Learning Georgia Tech Course
Udacity Deep Learning
Free online YouTube Videos for CS231n Winter 2016.
Siraj Machine Learning Videos.
Sentdex Machine Learning Videos.
Freecodecamp Learn Python-Full Course for Beginners.
Deep learning at Oxford 2015
Fast.AI online courses (all are free and have no ads):
Practical Deep Learning for Coders
Cutting Edge Deep Learning for Coders
Introduction to Machine Learning for Coders
Computational Linear Algebra
Neural Networks and Deep Learning
deeplearning.ai and Stanford University via Coursera
Algorithms: Design and Analysis Part 1
Stanford University via Stanford OpenEdx
Algorithms: Design and Analysis, Part 2
Stanford University via Stanford OpenEdx
Machine Learning
Georgia Institute of Technology via edX
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
deeplearning.ai and Stanford University via Coursera
Neural Networks for Machine Learning
University of Toronto via Coursera
Creative Applications of Deep Learning with TensorFlow
6.S191: Introduction to Deep Learning
Massachusetts Institute of Technology via Independent
6.S094: Deep Learning for Self-Driving Cars
Massachusetts Institute of Technology via Independent
Machine Learning Crash Course By Google:
Other Sites to Learn Machine Learning
Andrew Ng Machine Learning Course on Coursera
Fun Websites To Experiment With Machine Learning
Deepart
Turn any photo into artwork for free using deepart.io. This is a great site to explore artificial intelligence and machine learning. This is more than just a simple filter. https://deepart.io
TURN ANY PHOTO INTO AN ARTWORK — FOR FREE!
Machine learning artificial voice
Create the most realistic artificial voices in the world with Lyrebird.ai. Simply record your voice and type in a sentence and here the A.I. speak the sentence in your voice. This is crazy because the words that the A.I. says wasn’t recorded using your voice. https://lyrebird.ai/
Create your own little AI
Play With GAN Images (images that don’t exist but appear real)
GANs can create realistic images. See some of the realistic images created by computers using the links https://thispersondoesnotexist.com/ and https://thesecatsdonotexist.com/. The website https://thispersondoesnotexist.com/ produces images of people that don’t exist.
These girls look beautiful, but they do not exist, it’s just two more creations of AI. You won’t be able to find them anywhere since they do not exist. This service is the first project of its kind, and it eventually went viral. Here you can create fake pictures simply by refreshing the website.
The link https://thesecatsdonotexist.com/ generates images of cats that don’t exist produced by GAN (generative adversarial network). The images of the cats were all produced by a computer ! Be sure to check it out.
Use GPT-2 to Generate An Essay
See how a modern neural network completes your text. Type a custom snippet or try one of the examples.
https://talktotransformer.com/
Built by Adam King (@AdamDanielKing) as an easier way to play with OpenAI’s new machine learning model. In February, OpenAI unveiled a language model called GPT-2 that generates coherent paragraphs of text one word at a time.
For now OpenAI has decided only to release small and medium-sized versions of it which aren’t as coherent but still produce interesting results. This site runs the new (May 3) medium-sized model, called 345M for the 345 million parameters it uses. If and when they release the full model, I’ll likely get it running here.
While GPT-2 was only trained to predict the next word in a text, it surprisingly learned basic competence in some tasks like translating between languages and answering questions. That’s without ever being told that it would be evaluated on those tasks
If you are also interested in reading up a little bit more on machine learning to immediately get started with problems and examples then I strongly recommend you check out Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems.
Thanks for reading this article I hope its helpful to you all ! If you enjoyed this article and found it helpful please leave some claps to show your appreciation. Keep up the learning, and if you would like more mathematics, computer science, programming and algorithm analysis videos please visit and subscribe to my YouTube channels (randerson112358 & compsci112358 ).
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http://everythingcomputerscience.com/
Video Tutorials on Recurrence Relation:
https://www.udemy.com/recurrence-relation-made-easy/
Video Tutorial on Algorithm Analysis:
https://www.udemy.com/algorithm-analysis/
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