Which of the following use-cases can be solved using the Amazon Forecast service?Question 35Answera.To recommend personalized products for users based on their previous purchasesb.Document search service that can extract s from text within documentsc.To develop and test fully functional machine learning modelsd.Predict the web traffic of a website for the next few weeks

An online retailer uses a smart analytics tool to ingest real-time customer behavior data to surface the best suggestions for particular users. How can machine learning guide this activity?Machine learning can help identify user behavior in real time, but cannot make personalized suggestions based on the data.Machine learning can be used to make all users see the same product recommendations, regardless of their preferences or behavior.Through machine learning, with every click that the user makes, their website experience becomes increasingly personalized.Through machine learning, a user’s credit card transactions can be analyzed to determine regular purchases.

In the realm of machine learning, what significant application involves the task of predicting items of interest for users based on their past interactions or behaviors?1 pointOptimizing search engine ranking algorithmsRecommender systems for personalized content suggestionsAnalyzing retail sales trends for inventory managementIdentifying fraudulent transactions in real-time

A media company wants to enable customized content suggestions for the users of its movie streaming platform. Which AWS service can provide these personalized recommendations based on historic data?Question 6Answera.Amazon Customizeb.Amazon SageMakerc.Amazon Personalized.Amazon Comprehend

Question 8+1Tag to RevisitWhich industry heavily uses machine learning for recommendation systems?Answer areaAgricultureRetailManufacturingTransportation

Solving Business Problems Using AnalyticsThe best approach to solving business problems is thinking from the perspective of the user. Analytics should support the reasoning behind the problem statement, but the approach needs to be from the user's point-of-view.Keeping this in mind, go ahead and download any product that you are not paying for. For example, say, Amazon Prime membership. Why would you, as a user, not pay for the membership? This is your problem statement.Now use the six-step framework that we just studied and try to solve this problem for Amazon. For the data, make calculated 'guesstimates.' Put down your answers below.