1️⃣ IBM Data Science:通过这门课程,你将能够在短短5个月内掌握入门级数据科学家的技能、工具和投资组合,从而在就业市场上获得竞争优势。无需具备计算机科学或编程语言方面的知识。 2️⃣ Machine Learning:这门课由DeepLearning.AI和斯坦福在线合作创建,适合初学者。你将学习机器学习的基础知识以及如何使用...
IBM Back-End Development Professional Certificate ['IBM'] https://www.coursera.org/professional-certificates/ibm-backend-development IBM后端开发专业证书 21 IBM Data Analytics with Excel and R Professional Certificate ['IBM'] https://www.coursera.org/professional-certificates/ibm-data-analyst-r-excel ...
Coursera的两位创始人来自斯坦福,是两个计算机系的教授。一位是Daphne Koller, 而另一位就是传说中的Andrew Ng - 吴恩达,曾经的百度首席科学家。Cousera的最大名片,就是吴恩达亲自驻场的课程 -- 《Machine Learning(机器学习)》 Coursera号称!!2800万注册用户,2500+门课程,149个合作高校。你可以在上面找到各种学校...
提供者：IBM
Learn new job skills in online courses from industry leaders like Google, IBM, & Meta. Advance your career with top degrees from Michigan, Penn, Imperial & more.
2️⃣ 斯坦福大学 Machine Learning(108小时) 3️⃣ 密歇根大学 Python for Everybody(128小时) 4️⃣ 耶鲁大学 The Science of Well-being(19小时) 5️⃣ 谷歌 Data Analysis with R Programming(37小时) 6️⃣ 杜克大学 Excel to MySQL: Analytic Techniques for Business(112小时) ...
Description:This first course in theIBM Machine Learning Professional Certificateintroduces 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...
IBM Machine Learning Professional Certificate ['IBM'] https://www.coursera.org/professional-certificates/ibm-machine-learning IBM机器学习专业证书 Análisis de Datos de Google Professional Certificate ['Google'] https://www.coursera.org/professional-certificates/analisis-de-datos-de-google Google数据分析...
3️⃣ 斯坦福大学 - Machine Learning(108小时) 4️⃣ 耶鲁大学 - The Science of Well-being(19小时) 5️⃣ 谷歌 - Data Analysis with R Programming(37小时) 6️⃣ 杜克大学 - Excel to MySQL: Analytic Techniques for Business(112小时) 7️⃣ IBM - Data Analysis with Python(14小...
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 techniq