- Bayesian Statistics
- Machine Learning
- Mathematics
- Probability
- Linear Regression
- Linear Equation
- Eigenvalues And Eigenvectors
- Linear Algebra
- Determinants
- Calculus
- Mathematical Optimization
- Gradient Descent

# Mathematics for Machine Learning and Data Science 專項課程

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

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## 您將學到的內容有

A deep understanding of the math that makes machine learning algorithms work.

Statistical techniques that empower you to get more out of your data analysis.

Fundamental skills that employers desire, helping you ace machine learning interview questions and land your dream job.

Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence

## 您將獲得的技能

## 關於此 專項課程

## 應用的學習項目

By the end of this Specialization, you will be ready to:

Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence

Apply common vector and matrix algebra operations like dot product, inverse, and determinants

Express certain types of matrix operations as linear transformations

Apply concepts of eigenvalues and eigenvectors to machine learning problems

Optimize different types of functions commonly used in machine learning

Perform gradient descent in neural networks with different activation and cost functions

Describe and quantify the uncertainty inherent in predictions made by machine learning models

Understand the properties of commonly used probability distributions in machine learning and data science

Apply common statistical methods like MLE and MAP

Assess the performance of machine learning models using interval estimates and margin of errors

Apply concepts of statistical hypothesis testing

對員工進行熱門技能培訓能否為您的公司帶來益處？

體驗 Coursera 企業版對員工進行熱門技能培訓能否為您的公司帶來益處？

體驗 Coursera 企業版## 專項課程的運作方式

### 加入課程

Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習，請直接註冊專項課程，或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時，您將自動訂閱整個專項課程。您可以只完成一門課程，您可以隨時暫停學習或結束訂閱。訪問您的學生面板，跟踪您的課程註冊情況和進度。

### 實踐項目

每個專項課程都包括實踐項目。您需要成功完成這個（些）項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程，則需要在開始之前完成其他所有課程。

### 獲得證書

在結束每門課程並完成實踐項目之後，您會獲得一個證書，您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

## 常見問題

What is the refund policy?

Can I just enroll in a single course?

Is financial aid available?

Can I take the course for free?

Is this course really 100% online? Do I need to attend any classes in person?

I’m not good at math, is this course still for me?

What areas of mathematics will I learn in this course?

Why is mathematics for machine learning and data science important?

How long does it take to complete the Specialization?

What background knowledge is necessary?

Do I need to take the courses in a specific order?

Will I earn university credit for completing the Specialization?

What will I be able to do after completing Mathematics for Machine Learning and Data Science?

Is this a standalone course or a Specialization?

Do I need to take the courses in a specific order?

Can I apply for financial aid?

How much does the Specialization cost?

Can I apply for financial aid?

Can I audit the Specialization?

Will I receive a certificate at the end of the Specialization?

I want to purchase this Specialization for my employees. How can I do that?

How do I get a receipt to get this reimbursed by my employer?

Are all courses of this Specialization ready for enrollment?

還有其他問題嗎？請訪問 學生幫助中心。