Machine learning allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware.
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 机器学习(Machine Learning)最早起源于人工智能(Artificial Intelligence,AI),其核心在于构造学习算法(Learning Algorithm),使得机器可以自动从训练数据中进行学习以完成特定任务。 机器学习的定义 1959年,Arthur Samuel将机器学习定义为:"Field of study that gives computers the ability to...
coursera机器学习公开课笔记1:Introduction 技术标签: 机器学习What is Machine Learning? Two definitions of Machine Learning are offered. 1. Arthur Samuel described it as: “the field of study that gives computers the ability to learn without being explicitl... 查看原文 Andrew Ng《机器学习》视频课程...
An overview of machine learning in general and trends in deep learning in particular, followed by suggestions on how to get started with ML on google cloud, then demos of various approaches (colab, kubeflow notebooks, cloud vision api, custom instances w/ swift for tensorflow + TPU)....
In general, any machine learning problem can be assigned to one of two broad classifications: 总的来说,任何机器学习问题可以归为两类中的任意一类: Supervised learning and Unsupervised learning. 监督学习和非监督学习 2、Supervised Learning 监督学习 In supervised learning, we are given a data set and...
Reading: Unsupervised Learning Reading: Who are Mentors? Reading: Get to Know Your Classmates Reading: Frequently Asked Questions 1.1 Video: Welcome Welcome to this free online class on machine learning. Machine learning is one of the most exciting recent technologies. And in this class, you learn...
(英文版)吴恩达机器学习第一周笔记 这是我在coursera上看Andrew Ng的machine learning做的英文版笔记,可以帮助学英语的小伙伴熟悉熟悉一些专业术语在英文中的表达。由于笔记是OneNote记的所以没法粘贴过来只能截图。想看PDF版本的笔记的话,可以去我的github中下载。谢谢大家的支持...吴恩达...
最近学习了coursera上面Andrew NG的Machine learning课程,课程地址为:https://www.coursera.org/course/ml 在Introduction部分NG较为系统的概括了Machine learning的一些基本概念,也让我接触了一些新的名词,这些名词在后续课程中会频繁出现: What is Machine Learning ...
简书: Coursera | Andrew Ng (01-week-1 )—Introduction to Deep Learning 掘金:juejin.im/post/5a29d98e Github:laobadao/Deep-Learning 1.1 Welcome 先来张 Andrew Ng 的帅图! Andrew Ng Hello and welcome,As you probably know, Deep Learning has aready transformed the traditional internet businesses...