李宏毅2021机器学习HW1 在Google Colab中运行成功,未在PP中运行 - 飞桨AI Studio
The AI projects that San Luis Obispo County will see 6,198 cases of COVID-19 by Nov. 30, which represents an increase of almost 900 cases in two weeks, a 17-percent increase since the pandemic began in March. The AI predicts more than 2.5 million new cases in the US by the end of...
(myseed) random.seed(myseed) use_gpu = True paddle.set_device('gpu:0') if use_gpu else paddle.set_device('cpu') pd.set_option('display.max_columns', None) train_path = 'data/data113065/covid.train.csv' # 训练数据路径 test_path = 'data/data113065/covid.test.shuffle.csv' # ...
which includes Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision technologies can be provided the automated intelligent capability as like as pattern recognition, explanation, and prediction. It can be useful to recognize (detect and diagnose) and predict COVID-19 infectio...
Following this, when COVID-19 was reported, through the use of these technology, it was at the fore in predicting the next impacted jurisdictions, besides Wuhan where the virus was initially experienced; this prediction came a week earlier before the first cases were reported in those ...
Today’s available definitions of fairness in the literature are not optimized enough to affirm what fairness in predicting recidivism should be. Nevertheless, scholars are still debating on reaching a generally acceptable definition of fairness for risk assessment tools for recidivism prediction. A ...
Try the tool: make decisions for house improvements (decision making) Try the tool: provide recommendations to patients using diabetes data (decision making) Try the tool: model debugging of a census income prediction model (classification)
Today’s clinical trials value chain is shaped by macro trends that include climate pressure, geopolitical uncertainty, and the COVID-19 pandemic. Additionally, the increasing demand for personalized treatment and advancements in adaptive design have made clinical trials more complex than ever. Improving...
1. AI For Next Level Customer Experience Source: Appinventive As retailers facing the COVID-19 crisis, they will begin working on how they can improve the shopping experience that consumers will expect from stores and brands. In today’s world, retail is not only centered around products...
BlueDot’s role in spotting the outbreak was an early example of AI intervention. Artificial intelligence has already played a useful but fragmented role in many aspects of the global fight against the coronavirus. In the past months, AI has been used for prediction, screening, contact alerts, ...