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 !
Fast.AI online courses (all are free and have no ads):
Other Sites to Learn Machine Learning
Fun Websites To Experiment With Machine Learning
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
This neural network lets you build and evolve little AI creatures
The magic of artificial intelligence brings us better Netflix recommendations, better cancer diagnoses, and the ability…
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.
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 ).
Check Out the following for content / videos on Computer Science, Algorithm Analysis, Programming and Logic:
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