What’s popular in machine learning
Your source for what’s next
Popular in live online training
See allJanuary 27, 2022
Bias Detection in Machine Learning
Presented by Thomas Kopinski
Itâs a common story: An unmonitored machine learning (ML) system results in an extremely undesirable negative impact on the intended task. The reason: bias, whether on the algorithmic level or in ...
January 12, 2022
Docker for Machine Learning Engineers
Presented by Jonathan Fernandes
One of the challenges when working in machine learning is the continuous stream of new libraries that are available and standardising the development environment for the team. Docker allows us to ...
February 7, 2022
Learn XGBoost for Machine Learning
Presented by Noureddin Sadawi
XGBoost is a powerful machine learning algorithm that is designed for speed and performance and rates along-side neural networks and deep learning models. Hence, it is being considered a new one-stop ...
May 16, 2022
Fundamentals of Learning: Learn faster and better using neuroscience
Presented by Connie Missimer
Learn faster and better using neuroscience Many of us feel overwhelmed by the sheer amount of knowledgeâ and disinformationâ we face daily. Currently there are over a dozen theories about how ...
March 18, 2022
Getting Started with Tensorflow.js
Presented by Brian Sletten
Machine Learning in the Browser Several trends in our industry are colliding and creating new opportunities while complicating our technology choices. The Web continues to be the major platform for deploying ...
March 8, 2022
Introduction to Azure Machine Learning
Presented by Justin Frébault
Learn the foundation for using Machine Learning in Production with Azure Machine Learning In this 4-hour class, Justin Frébault walks you through Machine Learning fundamentals and gives you best practices for ...
Popular in interactive learning
See allDVC: Creating a Machine Learning Pipeline
By Danilo Sato
Learn to create a reproducible ML pipeline using DVC ...
Regularization in Regression Using Python
By Siddharth Yadav
In this scenario, you will learn how to use regularization in linear regression models effectively ...
MLflow: Tracking Experiment Runs
By Danilo Sato
Learn to track parameters and metrics from your ML experiments using MLflow Tracking ...
Docker for ML Engineers: Working with Dockerfiles
By Jonathan Fernandes
Learn how to create and use Dockerfiles to build ML images ...
Python ML Cookbook: Handling Numerical Data
By O'Reilly Media Inc.
Recipes from Machine Learning with Python Cookbook ...
Polynomial Regression Using Python
By Siddharth Yadav
In this scenario, you will learn how to perform polynomial regression effectively ...
Articles on Radar
See allMachine Learning and the Production Gap
By Mike Loukides
The biggest problem facing machine learning today is getting machine learning from the researcher’s laptop to production.
Moving AI and ML from research into production
By Jenn Webb
Dean Wampler discusses the challenges and opportunities businesses face when moving AI from discussions to production.
