官术网_书友最值得收藏!

Time to practice

In the following sections, we'll dive into machine learning practice, to get a feeling of what it looks like. Just like in a theater play, in machine learning you have a list of characters and a list of acts.

Two main characters are:

  • Dataset
  • Model

Three main acts are:

  • Dataset preparation
  • Model training
  • Model evaluation

We'll go through all these acts, and by the end of the chapter we'll have our first trained model. First, we need to define a problem, and then we can start coding a prototype in Python. Our destination point is a working model in Swift. Don't take the problem itself too seriously, though, because as the first exercise, we're going to solve a fictional problem.

主站蜘蛛池模板: 东台市| 江北区| 庆云县| 城口县| 盐池县| 庆云县| 紫云| 新郑市| 阜平县| 雷山县| 隆尧县| 嘉鱼县| 巴林右旗| 香格里拉县| 西华县| 柞水县| 绍兴市| 天峨县| 磐石市| 南和县| 黔南| 鸡泽县| 瑞安市| 七台河市| 射阳县| 江源县| 台北县| 江城| 邻水| 老河口市| 启东市| 拜泉县| 承德市| 渭源县| 通榆县| 华池县| 邵武市| 浏阳市| 肃南| 霍邱县| 乐山市|