Dive Right Into Machine Learning With These Free Courses

A list of the best free introductory courses on the internet.

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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 !

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Udacity Machine Learning Intro

Udacity Intro to Statistics

Udacity Intro to Data Science

Udacity Machine Learning Georgia Tech Course

Udacity Deep Learning

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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

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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

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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

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Machine Learning Crash Course By Google:

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Other Sites to Learn Machine Learning

Andrew Ng Machine Learning Course on Coursera

Foundations of Data Science

Prediction: Machine Learning

EverythingComputerScience.com

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!

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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/

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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.

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This person does not exist, the image was created by a GAN
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This person does not exist, the image was created by a GAN

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.

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Cat Images Created By GAN

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/

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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.

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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:

YouTube Channel:
randerson112358:https://www.youtube.com/channel/UCaV_0qp2NZd319K4_K8Z5SQ

compsci112358:
https://www.youtube.com/channel/UCbmb5IoBtHZTpYZCDBOC1CA

Website:
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/

Twitter:
https://twitter.com/CsEverything

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