IBM Technology | Mastering Bias and Variance in Machine Learning Models | ML Optimization @IBMTechnology | Uploaded April 2024 | Updated October 2024, 1 day ago.
• Get the guide for AI and ML governance → https://ibm.biz/governance-guides
• Explore our bias monitoring technology → https://ibm.biz/ibm_watsonx_governance
In this video, we delve deep into the core of machine learning, exploring the critical concepts of bias and variance. Discover how to navigate the delicate balance between underfitting and overfitting, optimizing model complexity for superior performance. Learn the strategies to achieve the ideal bias-variance tradeoff, ensuring your ML models recognize patterns and complexities while avoiding errors. Watch now to unlock the secrets of bias, variance, and model optimization in machine learning!
• AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/ai-topic-updates
• Get the guide for AI and ML governance → https://ibm.biz/governance-guides
• Explore our bias monitoring technology → https://ibm.biz/ibm_watsonx_governance
In this video, we delve deep into the core of machine learning, exploring the critical concepts of bias and variance. Discover how to navigate the delicate balance between underfitting and overfitting, optimizing model complexity for superior performance. Learn the strategies to achieve the ideal bias-variance tradeoff, ensuring your ML models recognize patterns and complexities while avoiding errors. Watch now to unlock the secrets of bias, variance, and model optimization in machine learning!
• AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/ai-topic-updates
