In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model ...
Introduction to Machine Learning In this module, we will introduce the concept of machine learning, how it can be used to solve problems, and its limitations. We will also cover how machine learning on embedded systems, such as single board computers and microcontrollers, can be effectively used...
With this in mind, we’ve compiled this list of the best machine learning courses on Coursera if you’re looking to grow your skills for work or play. Coursera is one of the top online education platforms in the world, partnering with more than 200 universities and companies to provide a ...
杜克大学的Introduction to Machine Learning，在基础之上还介绍了现代的机器学习知识包括CNN、RNN、LSTM、T...
IBM Introduction to Machine Learning Specialization [4 courses] (IBM) ['IBM'] https://www.coursera.org/specializations/ibm-intro-machine-learning IBM机器学习入门专业化[4门课程] (IBM) 80 JavaScript Programming with React, Node & MongoDB
01.机器学习斯坦福大学吴恩达老师的Machine Learning应该是最适合机器学习入门的课程了。从2012年开课到今年,这个课程在斯坦福大学已经被挤爆了,也是Coursera平台上最为热门的课程... learning的一些知识。这个我认为适合对机器学习有所了解,并且希望能够弄懂来龙去脉的进阶者来看。 刷完吴恩达老师的机器学习课程后,大家可...
此系列为Coursera网站机器学习课程个人学习笔记(仅供参考)课程网址:https://www.coursera.org/learn/machine-learning参考资料:http://blog.csdn.net/scut_arucee/article/details/49453033 1 Introduction1.1机器学习的定义 Arthur Samuel 将其描述为 智能推荐 ...
This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps be...
2. Machine Learning Specialization 机器学习专项课程是DeepLearning.AI 和斯坦福大学在线合作创建的基础在线课程,适合初学者。 这个专项课程有3门课程,由斯坦福大学Andrew Ng讲授,这是他开创性的机器学习课程的更新版,该课程自 2012年推出...
The course starts with an introduction to machine learning, explaining its applications and the different types of machine learning algorithms. Prof. Ng then dives into the mathematical foundations of machine learning, including linear algebra and calculus, which are essential for understanding the ...