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Machine learning is all around us; on our phones, powering social networks, helping the police and doctors, scientists and mayors ...

There's one specific role that builds a bridge between data science and its practical counterpart, machine learning. Meet the ...

Data is one of the main factors determining whether machine learning projects will succeed or fail. That's why it is necessary to ...

IBM Research is championing a relatively new AI approach called neurosymbolic computing. Learn more about how it can allow ...

We start with the whats/whys/hows. Then delve into details (math) with examples. Follow me on M E D I U M: ...

In this video, Antonio Alonso-Stepanov, an NCSSM Online AI teaching assistant, explains the three types of machine learning: ...

... Probability Theory for Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V ⭕ Coding ...

This Machine Learning basic will help you understand what is Machine Learning which is a subset of Artificial Intelligence or AI.

to get started with AI engineering, check out this Scrimba course: ...

SYDE 522 – Machine Intelligence (Winter 2019, University of Waterloo) Target Audience: Senior Undergraduate Engineering ...

Let's talk about Boltzmann Machines RESOURCES [1 ] Main paper: ...

Many animations used in this video came from Jonathan Barron [1, 2]. Give this researcher a like for his hard work! SUBSCRIBE ...

You've probably heard of ChatGPT, Midjourney, prompts and deepfakes. But what exactly is "generative AI"? That's what you'll ...

Mamba is a new neural network architecture that came out this year, and it performs better than transformers at language ...

CC BY-SA 4.0 #AI #ArtificialIntelligence #AICampus #KICampus #Algorithm #MachineLearning #Robotics.

In which we discuss an introduction to computational topology, the utility of Betti numbers, simplicial homology (with examples) ...

Some parametric methods, like polynomial regression and Support Vector Machines stand out as being very versatile. This is due ...

... Probability Theory for Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V ⭕ Coding ...

From Gradient Descent to Adam. Here are some optimizers you should know. And an easy way to remember them. SUBSCRIBE ...

Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b ...