Neural Networks for Machine Learning (CourseraArchive) 5 个评论 关注

主页: https://www.coursera.org/course/neuralnets

简介: Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.

Machine Learning (CourseraArchive) 29 个评论 关注

主页: https://www.coursera.org/course/ml

简介: Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

PHP (Coursera专项课程) 1 个评论 关注

主页: http://www.codecademy.com/zh/tracks/php

简介: 课程名称：PHP 课程概述：PHP 是全球最受欢迎的服务器端脚本语言。如果您有兴趣处理网站的表单数据、动态生成 HTML、管理 cookies 或与数据库交互，PHP 都能满足您的需求。这个课程由社区创建，致力于不断完善，我们希望您能帮助塑造全球范围内的 PHP 教学未来。 虽然目前没有具体的课程大纲，但我们欢迎所有学习者参与进来，共同推动 PHP 学习资源的发展。

Probabilistic Graphical Models (CourseraArchive) 5 个评论 关注

主页: https://www.coursera.org/course/pgm

简介: In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.

Computational Neuroscience (CourseraArchive) 2 个评论 关注

主页: https://www.coursera.org/course/compneuro

简介: Understanding how the brain works is one of the fundamental challenges in science today. This course will introduce you to basic computational techniques for analyzing, modeling, and understanding the behavior of cells and circuits in the brain. You do not need to have any prior background in neuroscience to take this course.

Introduction to Mathematical Philosophy (CourseraArchive) 0 个评论 关注

主页: https://www.coursera.org/course/mathphil

简介: Learn how to apply mathematical methods to philosophical problems and questions.

Machine Learning (CourseraArchive) 7 个评论 关注

主页: https://www.coursera.org/course/machlearning

简介: Why write programs when the computer can instead learn them from data? In this class you will learn how to make this happen, from the simplest machine learning algorithms to quite sophisticated ones. Enjoy!

Natural Language Processing (CourseraArchive) 3 个评论 关注

主页: https://www.coursera.org/course/nlp

简介: In this class, you will learn fundamental algorithms and mathematical models for processing natural language, and how these can be used to solve practical problems.

Algorithms: Design and Analysis, Part 1 (CourseraArchive) 5 个评论 关注

主页: https://www.coursera.org/course/algo

简介: In this course you will learn several fundamental principles of algorithm design: divide-and-conquer methods, graph algorithms, practical data structures (heaps, hash tables, search trees), randomized algorithms, and more.

Analytic Combinatorics, Part I (CourseraArchive) 0 个评论 关注

主页: https://www.coursera.org/course/introACpartI

简介: This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. Part I covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.