DataHour: Introduction to Classification using Azure Machine Learning
DataHour: Introduction to Classification using Azure Machine Learning
20 Oct 202213:10pm - 20 Oct 202214:10pm
DataHour: Introduction to Classification using Azure Machine Learning
About the Event
Classification is a supervised machine learning technique used to predict categories or classes. The most common classification problems are – speech recognition, face detection, handwriting recognition, document classification, etc. Training and deploying an effective machine learning model involves a lot of work, much of it time-consuming and resource-intensive. Azure Machine Learning is a cloud-based service that helps simplify some of the tasks it takes to prepare data, train a model, and deploy a predictive service.
Classification machine learning models can be built using Azure Machine Learning. Most importantly, Azure Machine Learning helps data scientists increase their efficiency by automating many of the time-consuming tasks associated with training models. It enables them to use cloud-based compute resources that scale effectively to handle large volumes of data while incurring costs only when actually used. In this DataHour, Hemant will explain all about classification using Azure Machine Learning from scratch.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Participate in discussion
Registration Details
Registered
Become a Speaker
Share your vision, inspire change, and leave a mark on the industry. We're calling for innovators and thought leaders to speak at our event
- Professional Exposure
- Networking Opportunities
- Thought Leadership
- Knowledge Exchange
- Leading-Edge Insights
- Community Contribution
