推荐课程-按热度排名

Deep Learning Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 11/14/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/deep-learning

简介: Andrew Ng老师的深度学习专项系列课程(Deep Learning Specialization) ,入门深度学习首选课程。这个系列包含5门子课程,涵盖神经网络与深度学习,调参优化,机器学习项目架构,卷积神经网络和递归神经网络,感兴趣的同学可以关注:Deep Learning Specialization-Master Deep Learning, and Break into AI

Python for Everybody Specialization (Coursera专项课程) 1 个评论 关注

开始时间: 11/12/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/python

简介: 密歇根大学零基础Python入门专项课程系列(Python for Everybody Specialization), 这个系列包含4个子课程和1个毕业项目课程,包括Python入门,Python数据结构, 使用Python获取网络数据(Python爬虫), 在Python中使用数据库以及Python数据可视化等。这个系列是Coursera上很多同学的首选Python入门课程,感兴趣的同学可以关注:Learn to Program and Analyze Data with Python-Develop programs to gather, clean, analyze, and visualize data.

Algorithms Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 11/19/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/algorithms

简介: 斯坦福大学的算法专项课程系列(Algorithms Specialization),这个系列包含4门子课程,涵盖基础的算法主题和高级算法主题,此前评价非常高,五颗星推荐,感兴趣的同学可以关注: Learn To Think Like A Computer Scientist-Master the fundamentals of the design and analysis of algorithms.

程序设计与算法 Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 11/14/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/biancheng-suanfa

简介: 北京大学的程序设计与算法专项课程系列,这个系列包含7门子课程,分别是计算导论与C语言基础, C程序设计进阶 ,C++程序设计, 算法基础, 数据结构基础, 高级数据结构与算法, 程序开发项目实践,最后一个项目实践课程联合腾讯公司设计一个实际的应用问题:搜索引擎设计。

Machine Learning Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 11/14/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/machine-learning

简介: 华盛顿大学机器学习专项课程系列(Machine Learning Specialization),这个系列课程包含4门子课程,分别是 机器学习基础:案例研究 , 机器学习:回归 , 机器学习:分类, 机器学习:聚类与检索,感兴趣的同学可以关注: Build Intelligent Applications-Master machine learning fundamentals in four hands-on courses.

Applied Data Science with Python Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 11/19/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/data-science-python

简介: 密歇根大学的Python数据科学应用专项课程系列(Applied Data Science with Python),这个系列的目标主要是通过Python编程语言介绍数据科学的相关领域,包括应用统计学,机器学习,信息可视化,文本分析和社交网络分析等知识,并结合一些流行的Python工具包进行讲授,例如pandas, matplotlib, scikit-learn, nltk以及networkx等Python工具。感兴趣的同学可以关注:Gain new insights into your data-Learn to apply data science methods and techniques, and acquire analysis skills.

Data Science Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 11/14/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/jhu-data-science

简介: 约翰霍普金斯大学的数据科学专项课程系列(Data Science Specialization),这个系列课程有10门子课程,包括数据科学家的工具箱,R语言编程,数据清洗和获取,数据分析初探,可重复研究,统计推断,回归模型,机器学习实践,数据产品开发,数据科学毕业项目,感兴趣的同学可以关注: Launch Your Career in Data Science-A nine-course introduction to data science, developed and taught by leading professors.

Data Mining Specialization (Coursera专项课程) 1 个评论 关注

开始时间: 11/14/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/data-mining

简介: 伊利诺伊大学香槟分校的数据挖掘专项课程系列(Data Mining Specialization),这个系列包含5门子课程和1个毕业项目课程,涵盖数据可视化,信息检索,文本挖掘与分析,模式发现和聚类分析等,感兴趣的同学可以关注:Data Mining Specialization-Analyze Text, Discover Patterns, Visualize Data. Solve real-world data mining challenges.

Data Science at Scale Specialization (Coursera专项课程) 0 个评论 关注

开始时间: 11/14/2018 持续时间: Unknown

主页: https://www.coursera.org/specializations/data-science

简介: 华盛顿大学的大规模数据科学专项课程系列(Data Science at Scale ),这个系列包括3门子课程和1个毕业项目课程,包括大规模数据系统和算法,数据分析模型与方法,数据科学结果分析等,感兴趣的同学可以关注: Tackle Real Data Challenges-Master computational, statistical, and informational data science in three courses.

Machine Learning (Coursera) 28 个评论 关注

开始时间: 待定 持续时间: Unknown

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.

Natural Language Processing (Coursera) 7 个评论 关注

开始时间: 02/24/2013 持续时间: 10 weeks

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

简介: Have you ever wondered how to build a system that automatically translates between languages? Or a system that can understand natural language instructions from a human? This class will cover the fundamentals of mathematical and computational models of language, and the application of these models to key problems in natural language processing.

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

开始时间: 待定 持续时间: 8 weeks

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.

Coding the Matrix: Linear Algebra through Computer Science Applications (Coursera) 9 个评论 关注

开始时间: 02/02/2015 持续时间: 10 weeks

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

简介: Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data.

Natural Language Processing (Coursera) 3 个评论 关注

开始时间: 待定 持续时间: Unknown

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.

Introduction to Recommender Systems (Coursera) 3 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: This course introduces the concepts, applications, algorithms, programming, and design of recommender systems--software systems that recommend products or information, often based on extensive personalization. Learn how web merchants such as Amazon.com personalize product suggestions and how to apply the same techniques in your own systems!

Probabilistic Graphical Models (Coursera) 5 个评论 关注

开始时间: 04/08/2013 持续时间: 11 weeks

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.

Algorithms, Part I (Coursera) 6 个评论 关注

开始时间: 01/22/2016 持续时间: 6 weeks

主页: https://www.coursera.org/course/algs4partI

简介: This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers basic iterable data types, sorting, and searching algorithms.

Introduction to Statistics (Udacity) 3 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/st101

简介: Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.

Machine Learning (Coursera) 7 个评论 关注

开始时间: 待定 持续时间: Unknown

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!

The Hardware/Software Interface (Coursera) 7 个评论 关注

开始时间: 06/30/2014 持续时间: 8 weeks

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

简介: Examines key computational abstraction levels below modern high-level languages. From Java/C to assembly programming, to basic processor and system organization.

Artificial Intelligence (edX) 6 个评论 关注

开始时间: 待定 持续时间: 12 weeks

主页: https://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x

简介: UC Berkeley's upper division course CS188: Introduction to Artificial Intelligence now available to everyone online.
 
"Nothing short of awesome. This is a top-notch class that teaches you a lot of important concepts in optimization and AI, while making you feel like you're on a wonderful adventure of discovery and fun." edX student review

An Introduction to Interactive Programming in Python (Coursera) 5 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: This course is designed to be a fun introduction to the basics of programming in Python. Our main focus will be on building simple interactive games such as Pong, Blackjack and Asteroids.

Python (Codecademy) 5 个评论 关注

开始时间: 随时 持续时间: free

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

简介: Learn the fundamentals of Python and dynamic programming.

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

开始时间: 10/05/2015 持续时间: 6 weeks

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.

Introduction to Computer Science (Udacity) 6 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/cs101

简介: In this course you will learn key concepts in computer science and learn how to write your own computer programs in the context of building a web crawler.

Introduction to Data Science (Coursera) 5 个评论 关注

开始时间: 06/30/2014 持续时间: 8 weeks

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

简介: Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data.

Model Thinking (Coursera) 3 个评论 关注

开始时间: 10/05/2015 持续时间: 10 weeks

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

简介: In this class, you will learn how to think with models and use them to make sense of the complex world around us.

Introduction to Parallel Programming (Udacity) 1 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/cs344

简介: You'll master the fundamentals of massively parallel computing by using CUDA C/C++ to program modern GPUs. You'll learn the GPU programming model and architecture, key algorithms and parallel programming patterns, and optimization techniques. Your assignments will illustrate these concepts through image processing applications, but this is a parallel computing course and what you learn will translate to any application domain. Most of all we hope you'll learn how to think in parallel.

C++ For C Programmers (Coursera) 2 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/cplusplus4c

简介: This course is for experienced C programmers who want to program in C++. The examples and exercises require a basic understanding of algorithms and object-oriented software.

Statistics One (Coursera) 4 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/stats1

简介: Statistics One is a comprehensive yet friendly introduction to statistics.

Algorithms: Design and Analysis, Part 2 (Coursera) 4 个评论 关注

开始时间: 03/16/2015 持续时间: 6 weeks

主页: https://www.coursera.org/course/algo2

简介: In this course you will learn several fundamental principles of advanced algorithm design: greedy algorithms and applications; dynamic programming and applications; NP-completeness and what it means for the algorithm designer; the design and analysis of heuristics; and more.

Introduction to Artificial Intelligence (Udacity) 2 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.udacity.com/course/cs271

简介: The objective of this class is to teach you modern AI. You will learn about the basic techniques and tricks of the trade. We also aspire to excite you about the field of AI.

Discrete Optimization (Coursera) 3 个评论 关注

开始时间: 03/04/2015 持续时间: 9 weeks

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

简介: Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization, including constraint programming, local search, and mixed-integer programming.

Introduction to Databases (Coursera) 3 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: This course covers database design and the use of database management systems for applications.

Automata (Coursera) 3 个评论 关注

开始时间: 09/12/2015 持续时间: 6 weeks

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

简介: This course covers finite automata, context-free grammars, Turing machines, undecidable problems, and intractable problems (NP-completeness).

Learn to Program: The Fundamentals (Coursera) 3 个评论 关注

开始时间: 08/19/2013 持续时间: 10 weeks

主页: https://www.coursera.org/course/programming1

简介: Behind every mouse click and touch-screen tap, there is a computer program that makes things happen. This course introduces the fundamental building blocks of programming and teaches you how to write fun and useful programs using the Python language.

Algorithms, Part II (Coursera) 5 个评论 关注

开始时间: 03/16/2016 持续时间: 6 weeks

主页: https://www.coursera.org/course/algs4partII

简介: This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.

機率 (Coursera) 3 个评论 关注

开始时间: 08/31/2013 持续时间: 10 weeks

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

简介: 這是一個機率的入門課程,著重的是教授機率基本概念。另外我們的作業將搭配台大電機系所開發的多人競技線上遊戲方式,讓同學在遊戲中快樂的學習,快速培養同學們對於機率的洞察力與應用能力。

Mathematical Methods for Quantitative Finance (Coursera) 2 个评论 关注

开始时间: 06/01/2015 持续时间: 8 weeks

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

简介: Mathematical Methods for Quantitative Finance covers topics from calculus and linear algebra that are fundamental for the study of mathematical finance. Students successfully completing this course will be mathematically well prepared to study quantitative finance at the graduate level.

Compilers (Coursera) 2 个评论 关注

开始时间: 03/17/2014 持续时间: 11 weeks

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

简介: This course will discuss the major ideas used today in the implementation of programming language compilers. You will learn how a program written in a high-level language designed for humans is systematically translated into a program written in low-level assembly more suited to machines!

Statistics: Making Sense of Data (Coursera) 1 个评论 关注

开始时间: 04/01/2013 持续时间: 47 weeks

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

简介: This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world.

Learning From Data (edX) 1 个评论 关注

开始时间: 09/25/2014 持续时间: 10 weeks

主页: https://www.edx.org/course/learning-data-caltechx-cs1156x

简介: Introductory Machine Learning course covering theory, algorithms and applications. Our focus is on real understanding, not just "knowing."

计算广告学 (师徒网) 5 个评论 关注

开始时间: 12/15/2012 持续时间: 8 weeks

主页: http://study.163.com/course/courseMain.htm?courseId=321007

简介: 本课程从计算广告各个阶段所遇到的市场挑战为出发点,清晰解释了广告市场纷繁复杂的产品逻辑,并且对其中的关键技术和算法做了深入的探讨。依次介绍了合约广告系统(Agreement-based Advertising),竞价广告系统(Auction-based Advertising),广告交易市场(Ad Exchange)等重要课题。

Functional Programming Principles in Scala (Coursera) 7 个评论 关注

开始时间: 09/15/2014 持续时间: 7 weeks

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

简介: Learn about functional programming, and how it can be effectively combined with object-oriented programming. Gain practice in writing clean functional code, using the Scala programming language.

Heterogeneous Parallel Programming (Coursera) 4 个评论 关注

开始时间: 01/12/2015 持续时间: 9 weeks

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

简介: This course teaches the use of CUDA/OpenCL, OpenACC, and MPI for programming heterogeneous parallel computing systems. It is application oriented and only introduces necessary technological knowledge to solidify understanding.

Web Intelligence and Big Data (Coursera) 3 个评论 关注

开始时间: 04/20/2014 持续时间: 9 weeks

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

简介: This course is about building 'web-intelligence' applications exploiting big data sources arising social media, mobile devices and sensors, using new big-data platforms based on the 'map-reduce' parallel programming paradigm. During the fall semester this course is offered at the Indian Institute of Technology Delhi as well as the Indraprastha Institute of Information Technology Delhi.

Computer Networks (Coursera) 4 个评论 关注

开始时间: 待定 持续时间: Unknown

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

简介: The Internet is a computer network that millions of people use every day. Understand the design strategies used to solve computer networking problems while you learn how the Internet works.

Data Analysis (Coursera) 2 个评论 关注

开始时间: 10/28/2013 持续时间: 8 weeks

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

简介: Learn about the most effective data analysis methods to solve problems and achieve insight.

High Performance Scientific Computing (Coursera) 1 个评论 关注

开始时间: 02/20/2015 持续时间: 10 weeks

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

简介: Programming-oriented course on effectively using modern computers to solve scientific computing problems arising in the physical/engineering sciences and other fields. Provides an introduction to efficient serial and parallel computing using Fortran 90, OpenMP, MPI, and Python, and software development tools such as version control, Makefiles, and debugging.

Probability and Statistics (Khan Academy) 1 个评论 关注

开始时间: 随时 持续时间: 自主

主页: https://www.khanacademy.org/math/probability

简介: Introduction of the basics of Probability and Statistics