This Machine Learning course is taught by Andrew Ng, who was formerly Chief Scientist at Baidu and Director of Google Brain Deep Learning Project. It includes both theoretical and practical aspects of machine learning algorithms. Furthermore, you can learn how to implement machine learning algorithms...
Machine Learning CourseAdvantage Our curriculum empowers you with the expertise needed to thrive in your career. Through systematic learning and practical industry projects, you'll adeptly address intricate challenges and remain at the forefront of the AI & ML field. ...
Andrew Ng can be considered as the godfather of machine learning education. As one of the founders of Coursera he created one of the most popular MOOCs on the internet. If you want a good introduction to the Machine Learning knowledge field then this is a course for you. ...
What you will learnin this free Machine Learning course? Machine Learning using Python Lesson 01 - Course Introduction 1.01 Course Introduction 02:39 1.02 What You Will Learn 01:55 Lesson 02 - Introduction to Machine Learning Lesson 03 - Supervised Learning ...
Machine Learning (Stanford) Platform:Coursera Description:This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (...
Learning the fundamentals of building models in machine learning Exploring key algorithms By the end of this course, students will have practical knowledge of: Supervised learning algorithms Key concepts like under- and over-fitting, regularization, and cross-validation ...
This course provides an overview of machine learning fundamentals on modern Intel® architecture. Topics covered include: Reviewing the types of problems that can be solved Understanding building blocks Learning the fundamentals of building models in machine learning Exploring key algorithms By the end ...
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Lund University 机器学习硕士 2514 次赞同 去咨询 基本信息 学制:两年,每年两个学期(semester),每个学期分为两个study period 学分:120ECTS,每个学期30ECTS 项目结构:如下图 第一年上学期4门必修课,下期开始分为两个track:machine learning和control,各自选择本track的必修课。第二年上学期一门统一的control必修课...
What skills will you master in this Machine Learning Course? The course is designed by Industry professionals and IIT faculty to provide a solid foundation of machine learning concepts. Here are the skills that you will master in this course. You will be able to analyse, manipulate, and prep...