DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
05 Oct 202215:10pm - 05 Oct 202216:10pm
DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
About the Event
Understanding the significance of Parameter Tuning is a must for every ML Engineer while selecting the right machine learning model and improving the performance of the model. Make sure that those parameters selection are influenced and learnt from the data, and it needs to be accessed before the model gets into the train. Ultimately the performance of the machine learning model improves with a more acceptable choice of hyperparameter tuning and selection techniques.
In this DataHour, Shanthababu will cover the following topics:
- Differentiating the Model and Hyperparameter - What are Hyperparameters? How to differ from a Model Parameter?
- Importance of Hyperparameter
- Steps to Perform Hyperparameter Tuning.
- Influencing on Models with respect to various aspects.
- Hyperparameter Optimization Techniques and simple use cases.
Prerequisites: Enthusiasm of learning Data Science, Python Programming, Machine Learning Life cycle, Basic Algorithms understanding and an Idea about Model performance
- 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
