Siraj Raval explains the importance of math to machine learning.
In this episode of the AI Show, machine learning is gently introduced from the standpoint of the algorithm and model. It starts with the simplest machine learning, linear regression, and ends on a dense neural network explaining the similarities in plain terms along the way to bring the audience up to speed on neural networks in a fun way. Watch this episode to discover what machine learning algorithms really are in 10 minutes or less.
Here’s a fun little video explaining logistic regression.
In this talk from NodeConf EU 2017, Nikhila Ravi explains the advantages of client-side machine learning vs. server-side machine learning.
Since I started doing Data Science a few years ago, I have used more advanced mathematics than I ever thought I would have. And, as I take the DeepLearning.ai classes, that use of mathematics has accelerated.
Given that the math side of Data Science and AI is not going away any time soon, it’s probably best to get good at it.
Fortunately, for all of us Siraj Raval explains how to read math equations in a way that only he can: quickly and awesomely.
The great Brandon Rohrer explains how Supoort Vector Machines (SVMs) work in this video tutorial.
Siraj Raval explains how neuroscience and machine learning are related as well as how the two fields will help each other advance.
This week James Montemagno is joined by Jim Bennett, a Cloud Developer Advocate at Microsoft, who shows us how to use AI inside a mobile app to identify his daughters’ toys.
In the video below, he walks through using the Azure custom vision service to generate a model to identify different toys, then shows how you can use these models from inside your app, both remotely by calling an Azure service, or locally by running the model on your device using CoreML and Tensorflow.
- Azure Custom Vision service
- Custom Vision service docs
- Sample toy identifier app
- Xamarin plugin to use CoreML and Tensorflow with custom vision models
- Find James on: Twitter, GitHub, Blog, and his weekly development podcast Merge Conflict.
- Follow @JamesMontemagno
- Never Miss an Episode: Follow @TheXamarinShow
- Find Jim on: Twitter, GitHub, Blog, Jim’s book – Xamarin In Action
TensorFlow is a powerful data flow-oriented machine learning framework developed by Google’s Brain Team. It was designed to be easy to use and widely applicable on both numeric, neural network-oriented problems as well as other domains.