算法设计与分析 Design and Analysis of Algorithms 由北大教授Wanling Qu在coursera讲授的一门算法课程。首先介绍一些与算法有关的基础知识,然后阐述经典的算法设计思想和分析技术,主要涉及的算法设计技术是:分治策略、动态规划、贪心法、回溯与分支限界等。每个视频都配有相应的讲义(pdf文件)以便阅读和复习。 联系 @移...
It contains courses to learn SQL, Python, Java, Data Structure, Algorithms, and other key skills. Preparing for Java Developer Interviews? Download Free Questions We respect your privacy. Unsubscribe at any time. Built with KitPosted by javin paul at 9/27/2024 07:25:00 AM Email This...
2.Introduction to Computer Vision with Watson and OpenCV - Coursera If you want to learn computer vision with python and install all of those libraries one by one, you should see this online OpenCV and Watson course on Coursera that will let you create your programs on the cloud directly. T...
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未完成列表 MIT 6.172(完成4讲) MIT 概率课程台交大信息论(完成10讲)台交大随机过程(完成6讲) Information Theory, Inference and Learning Algorithms(完成8讲) MIT 18.605 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning(上传6讲,完成到21讲) CS236 Deep Generative Models(完成8讲)...
Coursera- Algorithms Part I & II Data Structures in Java Udemy- Easy to Advanced Data Structures Interview Kickstart’s 2-Month Data Structure & Algorithms Masterclass Important Data Structures & Algorithms to Master Arrays Linked Lists Stacks & Queues Bit Operations Strings Hashing Trees Heaps Sea...
Machine Learning Masteryis a blog and community with over 1,000 tutorials and e-books. For those that are starting out, it offers tutorials and step-by-step guides on commonly used algorithms in machine learning. Learn UI/UX Design for Free ...
–learning basics of algorithms and data structures; –have tons of practice in the language to move it from the head to fingertips. For example you may visit http://www.codeabbey.com –here are over 100 popular CS-related exercises and thousands solutions submitted by users (half of them ...
This series doesn’t include the statistics needed for data science or the derivations of various machine learning algorithms but does provide a comprehensive breakdown of how to use and evaluate those algorithms in Python. Because of this, I think this would be more appropriate for someone that ...
Whether your goal is to become a data scientist, use ML algorithms as a developer, or add cutting-edge skills to your business analysis toolbox, you can pick up applied machine learning skills much faster than you might think. 1. Are you a self-starter?