Personal AI Machine Learning Tutor Online That Teaches the Method
Describe the model and the tutor asks whether the error is coming from the model being too simple or too flexible, because that single distinction explains most of what a machine learning course is teaching.
What is the AskSia AI machine learning tutor?
The AskSia AI machine learning tutor is a personal tutoring tool that teaches why models fail rather than which library function to call. It asks whether error is coming from bias or variance, walks the loss function or the optimisation step with you when you ask, and asks what would change if the dataset were larger. It covers supervised learning, loss functions and optimisation, regularisation, tree and ensemble methods, unsupervised learning, neural network fundamentals, validation strategy and evaluation. It answers in eight languages. Students on the AskSia A+ plan are covered by the Grade Confidence Guarantee. AskSia is a study aid, not an answer key.
像真人导师一样进行的四个阶段
答案出现时，解题工具就完成任务；当你能独自解下一题，辅导才算完成。
给你方向，而不是直接给解答
它指出卡住的步骤，再把问题交回给你走出下一步。
逐行讲解，搭配图解
需要更多帮助时，它会逐行带你走过解法，而不只告诉你最终结果。
它会反过来问你一题
在继续之前，它会用一个简短问题确认下一步是否真正属于你。
稍后再回来复习
薄弱知识点会在更适合主动回忆、巩固解题方法的时机再次出现。
距离考试还有三周
导师会刻意放慢节奏，为下一题留下可重复使用的解题方法。
每学期最容易失分的三种习惯
Machine learning coursework is graded on diagnosis. These three are where students stall.
Adding complexity to fix a variance problem
When training error is low and validation error is high, a bigger model makes it worse. The tutor asks which error is high before anything is changed.
Tuning hyperparameters on the test set
Using test performance to choose settings turns it into a second training set and the reported result becomes meaningless. The tutor asks which split each decision used.
Reading a cluster as a category
Clustering finds structure in the chosen features and distance metric, not real world groups. The tutor asks what a different feature set would have produced.
不是题库，而是从你的错误中生成的测验
Your marks are not lost evenly, so your practice is not spread evenly. Try this one.
这位导师涵盖的内容
A first machine learning course, organised around why models behave the way they do.
Missing the maths underneath? Linear algebra, calculus and probability carry most of the derivations. Working on the applied pipeline instead?
Four things a machine learning tutor does that a chat box does not
它了解你的学习历程，不只是一道问题
下一次辅导会从你真正觉得困难的步骤开始，而不是泛泛地重讲整章内容。
它会画出图解，不只列出代数式
图解会带着标注与解题过程的每一步并列呈现，因为可视化推理本身也能得到分数。
它会找出你自己解题过程中的第一行错误
拍下做错的尝试，它会找到解法最早偏离的步骤，然后讲清这一步。
它按你的课程方式检验理解
长答题需要依照你自己试卷的格式练习，而不是套用选择题题库。
Why diagnosis is the whole subject
Anyone can fit a model in three lines. What a course examines is whether you can look at two error numbers and say what to change. The tutor asks which error is high before it discusses any adjustment, because that ordering is the method.
Personal here means it remembers which diagnosis keeps failing. If your implementations are clean but validation discipline keeps slipping, that is tracked and raised before the next assignment.
It works in English, German, Japanese, Korean, Spanish, Portuguese, Simplified Chinese and Traditional Chinese.
学生真正会问的问题
Will it write the model code?
No. It asks which error is high and what that implies, then walks the reasoning. For implementation help, use the Python page.
Can it help me diagnose overfitting?
Yes, and it is the most requested topic here. It starts from your two error numbers rather than from a definition.
Does it cover neural networks?
Yes, at the level a first course teaches: layers, activations, backpropagation and why depth helps. Framework specific tutorials are outside its scope.
Can it explain a derivation?
Yes, including gradient descent and the regularised objectives, and it will ask which step you are stuck on rather than restating the whole derivation.
Does it cover unsupervised methods?
Yes, including clustering and dimensionality reduction, with emphasis on what those results do and do not mean.
Is using an AI machine learning tutor allowed?
AskSia is built as a study aid, not an answer key. Check your own faculty's policy before using any tool on graded work.
全部 149 位 AskSia 导师
每个学科都采用同一种方式：针对你卡住的步骤给出提示，结合你自己的课程资料讲解，最后再向你抛回一个问题。
数学和统计学
15从代数到微积分，也提供面对截止日的作业辅导。
科学
11物理、化学与生命科学的导师页面和作业辅导。
计算和数据
22涵盖主要编程语言，以及课程实际使用的理论、数据和工具。
工程
8从静力学到流体力学，并提供应用课程作业页面。
商业和经济
9会计、金融与经济，搭配图表及财务报表。
人文与写作
13协助审阅草稿而非代写的人文与写作学科。
语言
16提供附规则的修正，以及目标语言的对话练习。
AP课程
20依据内容与评分标准共同设计。
考试和认证
11以实际评分格式练习证书与入学考试。
健康类课程
7结合每个选项的依据，协助课程与执照准备。
学习支持
9当你需要重整整份日程，或今晚就要面对截止时间。
比较学习工具
8比较各工具的强项，以及它们无法处理的范围。
