This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing.
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課程信息
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立即開始，按照自己的計劃學習。
第 1 門課程（共 4 門）
可靈活調整截止日期
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中級
完成時間大約為8 小時
英語（English）
字幕：英語（English）
您將獲得的技能
Artificial Intelligence (AI)Machine LearningFeature EngineeringStatistical Hypothesis TestingExploratory Data Analysis
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 1 門課程（共 4 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為8 小時
英語（English）
字幕：英語（English）
提供方
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 1 小時
A Brief History of Modern AI and its Applications
Artificial Intelligence is not new, but it is new in a sense that it is easier than ever to get started using Machine Learning in business settings. In this module we will go over a quick introduction to AI and Machine Learning and we will visit a brief history of modern AI. We will also explore some of the current applications of AI and Machine Learning for you to think about how you want to leverage them in your day to day business practice or personal projects.
完成時間為 1 小時
8 個視頻 （總計 47 分鐘）, 2 個閱讀材料, 3 個測驗
8 個視頻
Introduction to Artificial Intelligence and Machine Learning5分鐘
Machine Learning and Deep Learning10分鐘
History of AI7分鐘
History of Machine Learning and Deep Learning5分鐘
Modern AI6分鐘
Applications3分鐘
Machine Learning Workflow6分鐘
2 個閱讀材料
Course Prerequisites4分鐘
Summary/Review3分鐘
3 個練習
Check for Understanding5分鐘
Check for Understanding5分鐘
Module 1 Quiz5分鐘
完成時間為 4 小時
Retrieving Data, Exploratory Data Analysis, and Feature Engineering
Good data is the fuel that powers Machine Learning and Artificial Intelligence. In this module you will learn how to retrieve data from different sources, how to clean it to ensure its quality, and how to conduct exploratory analysis to visually confirm it is ready for machine learning modeling.
完成時間為 4 小時
16 個視頻 （總計 148 分鐘）, 5 個閱讀材料, 5 個測驗
16 個視頻
Retrieving Data13分鐘
Demo: Reading Data Demo Jupyter Notebook7分鐘
Lab Solution: Reading in Database Files5分鐘
Data Cleaning6分鐘
Handling Missing Values and Outliers10分鐘
EDA - Part 15分鐘
EDA - Part 212分鐘
Solution: EDA Notebook - Part 15分鐘
Solution: EDA Notebook - Part 210分鐘
Solution: EDA Notebook - Part 36分鐘
Solution: EDA Notebook - Part 48分鐘
Feature Engineering and Variable Transformation - Part 18分鐘
Feature Engineering and Variable Transformation - Part 211分鐘
Solution: Feature Engineering Lab - Part 111分鐘
Solution: Feature Engineering Lab - Part 212分鐘
Solution: Feature Engineering Lab-Part 39分鐘
5 個閱讀材料
Demo: Reading in Database Files (Activity)10分鐘
Lab: Reading in Database Files (Activity)10分鐘
Exploratory Data Analysis Lab (Activity)10分鐘
Feature Engineering Demo (Activity)10分鐘
Summary/Review3分鐘
5 個練習
Check for Understanding5分鐘
Check for Understanding5分鐘
Check for Understanding5分鐘
Check for Understanding5分鐘
Module 2 Quiz5分鐘
完成時間為 3 小時
Inferential Statistics and Hypothesis Testing
Inferential statistics and hypothesis testing are two types of data analysis often overlooked at early stages of analyzing your data. They can give you quick insights about the quality of your data. They also help you confirm business intuition and help you prescribe what to analyze next using Machine Learning. This module looks at useful definitions and simple examples that will help you get started creating hypothesis around your business problem and how to test them.
完成時間為 3 小時
10 個視頻 （總計 83 分鐘）, 2 個閱讀材料, 4 個測驗
10 個視頻
Estimation and Inference - Part 210分鐘
Estimation and Inference - Part 35分鐘
Hypothesis Testing8分鐘
Type 1 vs Type 2 Error9分鐘
Significance Level and P-Values - Part 17分鐘
Significance Level and P-Values - Part 25分鐘
Hypothesis Testing Demo - Part 15分鐘
Hypothesis Testing Demo - Part 210分鐘
Correlation vs Causation9分鐘
2 個閱讀材料
Hypothesis Testing Demo (Activity)10分鐘
Summary/Review3分鐘
3 個練習
Check for Understanding5分鐘
Check for Understanding5分鐘
Module 3 Quiz5分鐘
關於 IBM Introduction to Machine Learning 專項課程
This specialization will help you realize the potential of machine learning in a business setting. There will be a focus on helping you gain the skills that will help you succeed in a career in machine learning and data science. You will be able to realize the potential of machine learning and artificial intelligence in different business scenarios. You will also be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You will also learn how to evaluate your machine learning models and to incorporate best practices.
常見問題
我什么时候能够访问课程视频和作业？
讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
- 课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
- 课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
Is financial aid available?
是的，Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请，申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤，包括毕业项目。了解更多。
完成课程后，我会获得大学学分吗？
此课程不提供大学学分，但部分大学可能会选择接受课程证书作为学分。查看您的合作院校，了解详情。Coursera 上的在线学位和 Mastertrack™ 证书提供获得大学学分的机会。
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