You have been given a dataset with sales predictions based on your company’s marketing activities. The data is structured and stored in BigQuery, a highly scalable and fast data warehouse designed for large-scale data analysis. The dataset has been carefully managed by a team of data analysts, ensuring its quality and reliability. Your task is to prepare a report providing insights into the predictive capabilities of the data. To achieve this, you need to run several machine learning (ML) models with different levels of sophistication, including simple models like linear regression and more complex models like multilayered neural networks. Given that you have a limited time frame of only a few hours to gather the results of your experiments, which Google Cloud tools should you use to complete this task in the most efficient and self-serviced way?