Lecture
Predicting New Product Life Cycles: Machine Learning Approach
Description
This lecture covers the application of machine learning in predicting new product life cycles, focusing on challenges like the absence of historical data. Various methods, including qualitative and quantitative approaches, clustering, and forecasting using different ML algorithms, are discussed. The instructor emphasizes the importance of data analysis and the comparison between traditional and advanced techniques for accurate predictions.
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