Collection
The Best Way to Learn Machine Learning
Shared collection
A curated curriculum of content to help you get to grips with the basics of machine learning

01 | TensorFlow
An open source machine learning library for research and production.
https://www.tensorflow.org/tutorials

02 | www.ibm.com
Machine learning is the subset of AI focused on algorithms that analyze and “learn” the patterns of training data in order to make accurate inferences about new data.
https://www.ibm.com/think/topics/machine-learning

03 | NordVPN
Machine learning (ML) is a form of artificial intelligence that helps computers learn and make decisions using data and algorithms. Learn how it works!
https://nordvpn.com/blog/machine-learning/?nc=21317059647&ns=google&nm=cpc&nt=&na=6669508662&ntest=edu&gad_source=1&gad_campaignid=21317078835&gbraid=0AAAAADwsNkRv57XyxXEi_XePlqavY0tsf&gclid=Cj0KCQjw2MbPBhCSARIsAP3jP9yhNjL03jY1F4FxnABCUPnCiwfn8SGrE94oNOpysB8JiSPHCWLjZtYaAutvEALw_wcB

04 | Quadrant Technologies
Machine learning is a modern invention that has improved our daily lives along with many professional and industrial processes. ML is a subset of AI technology that focuses on using statistical methods to design intelligent computer systems to learn from available databases. This wonderful technology helps to improve business decisions, boost productivity, detect disease, forecast […]
https://www.quadranttechnologies.com/applications-of-machine-learning-in-the-real-world/
05 | www.datacamp.com
https://www.datacamp.com/blog/most-popular-machine-learning-tools

06 | GeeksforGeeks
Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.
https://www.geeksforgeeks.org/machine-learning/training-vs-testing-vs-validation-sets/
07 | www.reddit.com
There are a few interesting discussion points in this subreddit. Have a read through them and perhaps critically evaluate what some of the people are saying. Of course, always ignore (or maybe chuckle to yourself at) comedy comments.
https://www.reddit.com/r/LanguageTechnology/comments/ppa3y9/can_someone_please_explain_to_me_the_differences/
08 | Medium
Introduction:
https://trigonal-ai.medium.com/is-machine-learning-obsolete-how-data-scientists-must-adapt-to-stay-relevant-1d44552d266e