Editor's introduction: At present, all walks of life are looking for efficient ways to reduce costs and increase efficiency, and concepts such as AI artificial intelligence bulk sms service and machine learning are also widely used in business; and the 0-code machine learning intelligent tool launched by Amazon Cloud Technology—— Amazon Canvas is a tool that can be used in data analysis business. The author of this article has made an experience evaluation of this tool, let's take a look. With the development and popularization of artificial intelligence technology, people's demand for machine learning and data analysis has been high. There is hardly any industry that does not involve machine bulk sms service learning in trading. Against this backdrop, like many big tech companies, Amazon Cloud Technologies has launched a no-code machine learning platform, Amazon Canvas, let’s try it out today. 1.
Evaluation description Evaluator: B-end product manager who has just graduated for one year, master's degree, computer major, machine learning direction; Evaluation object: Amazon Canvas (a low-code machine learning platform); Evaluation purpose: To bulk sms service evaluate the operability of the product (inconvenient to use) and prediction accuracy (whether it is good or not). 2. User experience evaluation 1. Friendly to people without machine learning knowledge As a new user with a background in machine learning expertise, it took me less than half a day from the initial account registration to finally using Canvas to build a model. Not only did I not need to install various software, various libraries, and various packages on the local computer It also saves hundreds of lines of machine bulk sms service learning code, and the whole process can build a machine learning model without coding, and complete the predictive analysis of local data.
Comparing the past and the present, if you want to use machine learning algorithms to classify and predict the data at hand: Table 1 Past vs. Present 2. Simple bulk sms service interface style From the perspective of a product manager, the layout style, control design and interaction effects of each page of Amazon Canvas are very easy to understand. For example, after logging into the Amazon Canvas workbench, you can view all created models and imported datasets under the account. Among them, the model list supports two presentation forms: card list and table list. I personally bulk sms service prefer the card list, because the style of the card list is much more lively than the table list, which can make the page look less rigid and monotonous. After entering a model,