摘要：
As we head into 2023, machine learning (ML) professionals are taking stock of the past year and identifying potential key opportunities moving forward.
摘要： Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
摘要： Time series forecasting is one of the key topics of machine learning. The fact that so many prediction issues have a temporal component makes it crucial. In contrast to many other prediction tasks, time series issues are more challenging since the time component contributes more information.
摘要： If your business is focused on data-driven, fact-based decisions, your business users may be leveraging an analytics solution to gather, find, and analyze data. Business goals include improving results and productivity and getting the best results out of your data, as well as gaining meaningful insight into data. But, you certainly want to accomplish all those goals without frustrating business users or forcing them to adopt tools that do not add value to their day-to-day workflow and tasks.
