Run Azure Machine Learning Anywhere

Run Azure Machine Learning Anywhere

Leveraging Kubernetes ​and Azure Arc to train ML Models ​across hybrid cloud. In this episode Seth talks with Saurya Das about this new Azure Machine... Details
What’s New in ML.NET 1.5.5

What’s New in ML.NET 1.5.5

Jon Wood provides an overview of what’s new in ML.NET 1.5.5. Details
Alexei Kondratyev on Quantum Machine Learning

Alexei Kondratyev on Quantum Machine Learning

In 2020 the UK confirmed details of the country’s first commercial quantum computer. This is being build in Abingdon, near Oxford, and once complete will... Details
Learn TensorFlow and Deep Learning fundamentals with Python

Learn TensorFlow and Deep Learning fundamentals with Python

Daniel Bourke hosts this 10 hour course on the fundamentals of deep learning with TensorFlow in Python. Details
Ask the Expert: What’s New in Azure Machine Learning

Ask the Expert: What’s New in Azure Machine Learning

Watch LIVE on LearnTV to join the conversation about what’s new in Azure Machine Learning. Details
XGBoost Made Easy

XGBoost Made Easy

XGBoost is often the go to algorithm for most developers and has recently won several Kaggle competitions. XGBoost is an example of ensemble learning and... Details
5 Reasons Why F# is Great for Data Science and Machine Learning in 2021

5 Reasons Why F# is Great for Data Science and Machine Learning in 2021

F# is a fascinating language that I admit that I haven’t spent much time beyond a cursory look. Perhaps, I need to change that. Jon... Details
What is Quantum Machine Learning?

What is Quantum Machine Learning?

Quantum machine learning has attracted an enormous amount of interest in recent years but what actually is quantum machine learning? In this video Quantum Steve... Details
The Most Important Topic in Machine Learning right now

The Most Important Topic in Machine Learning right now

Karolina Sowinska  discusses the most important topic in Machine Learning right now, namely model explainability. It is one of the hottest discussion points in the... Details
Principal Component Analysis (PCA) Explained

Principal Component Analysis (PCA) Explained

Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data. Steve Brunton explains it in this... Details