The topic of ag ing decline on performance of NBA players has been discussed in this study. The autoencoder with K - means clustering machine learning method was adopted to career trend classification of NBA players, and the LSTM deep learning method was adopted in performance predicti on of each NBA player . The dataset was collected from the basketball game data of veteran NBA players . The contribution of the work performed better than the other methods with generalization ability for evaluat ing various types of NBA career t rend, and can be applied in different types of s p o r ts in the field of sport analytics . In the field of sports analytics, m achine learning methods are being widely used to analyze player behavior and performance prediction for the strong capabilities in pattern recognition and career trend prediction, and the topic of aging decline on the performance of basketball game players were discussed in the study.

Did you know that on an average, there has been a 60-70% hike in salaries of aspirants who have successfully transitioned into AI roles? As per WEF, 133 million jobs will be created in artificial intelligence by the year 2020. Careers in AI have been steadily increasing over the past few years and will continue growing at an accelerating rate. There has been a 60-70% hike on average, in salaries of aspirants who have successfully transitioned into AI roles. In the following infographic, Great Learning looks at career trends in artificial intelligence.