Train, tune and distribute models with generative AI and machine learning capabilities
"This session will introduce Kaggle machine learning competition platform, and describe an effective methodology to fare well on it, developed by a Kaggle Grand Master. The methodology covers data exploratory analysis, feature engineering, model evaluation, and algorithm tuning. Machine learning competitions are a simplified version of real-world machine learning, and we will discuss additional steps that need to be added to the methodology."This webcast was produced by Jean Francois Puget, Distinguished Engineer at IBM.#DataScienceCommunityDay#GlobalAIandDataScience#GlobalDataScience