Search - MIT machine learning

Search - MIT machine learning - List

[AI-NN-PR] MITLearning DL : 0: MIT大学的机器学习课程讲稿,很经典的!包括分类,回归,判别式学习,产生式学习,SVM等,基本上包括常用的机器学习算法-MIT University of speech machine learning curriculum, it is classic! Including classification, regression, discriminant study, resulting in learning, SVM, etc., basically including the commonly used machine learning algorithms
Date : 2025-07-15 Size : 3.55mb User : 周光有
[Other] 2009The.MIT.Press.Dataset.Shift.in.Machine.Learnin DL : 0: 《数据迁移学习》09年新书，模式识别与机器学习领域的人必备的新书，相信这是本领域最新最好的书籍之一。-" Data Migration Learning" in 2009 book, pattern recognition and machine learning fields to essential new book, I believe this is the latest in this field, one of the best books.
Date : 2025-07-15 Size : 1.65mb User : gouyabin
[File Format] ML DL : 0: Lecture Notes on Machine Learning from MIT - The pdf file is inside the zip-archive.
Date : 2025-07-15 Size : 3.17mb User : ginobambino
[Other] MIT.Press.Learning.with.Kernels.(2002) DL : 0: 机器学习的经典专著，我还在学习中，希望对大家有用哈-Classic monograph of machine learning, Im still learning, we hope to be useful for any body whos looking for this book
Date : 2025-07-15 Size : 31.22mb User : 崔嵬
[Symbian] MIT-machine-learning-course DL : 0: 《将UIQ应用移植到Series60 Platform》-" The UIQ applications to Series60 Platform"
Date : 2025-07-15 Size : 3.45mb User : Terry
[matlab] gpml-matlab DL : 0: Matlab implementations of algorithms from Rasmussen & Williams "Gaussian Processes for Machine Learning", the MIT Press 2006.
Date : 2025-07-15 Size : 594kb User : mli
[Software Engineering] 026201243X-LearningA DL : 0: Alpaydin E. Introduction to machine learning (MIT Press, 2010)
Date : 2025-07-15 Size : 3.12mb User : ali
[Windows Develop] Introduction-to-Probability-(MIT-2000-371s) DL : 0: A book describing basic probability needed for fundamental CS theory in machine learning and other topics.
Date : 2025-07-15 Size : 1.98mb User : aaron
[Software Engineering] MIT-questionsaanswers DL : 0: MIT机器学习的习题和答案哦,比较齐全，可以下载来参考一下子。-MIT Machine Learning questions and answers， can be a good reference for your study!
Date : 2025-07-15 Size : 4.65mb User : xwz
[Other] Introduction-to-Machine-Learning DL : 0: Introduction to Machine Learning Second Edition 目前最流行的机器学习(Machine Learning)英文书籍之一-Introduction to Machine Learning Second Edition Ethem Alpaydı n The MIT Press Cambridge, Massachusetts London, England
Date : 2025-07-15 Size : 3.12mb User : 陳小傑
[File Format] Introduction-to-Graphical-Model DL : 0: matlab语句实现图模型，多用于分析网络用户产品推荐及网络用户潜在社会关系分析模型的建立。-The goal of building systems that can adapt to their environments and learn from their experience has attracted researchers from many fields , including computer science, engineering, mathematics, physics, neuroscience, and cognitive science. Out of this research has come a wide variety of learning techniques that have the potential to transform many industrial and scientific fields . Recently, several research communities have begun to converge on a common set of issues surrounding supervised, unsupervised, and reinforcement learning problems. The MIT Press Series on Adaptive Computation and Machine Learning seeks to unify the many diverse strands of machine learning research and to foster high-quality research and innovative applications.
Date : 2025-07-15 Size : 422kb User : 李萌
[AI-NN-PR] Machine-Learning DL : 0: MIT牛人教授的课件，机器学习的入门教程，超赞-slides given by MIT professor
Date : 2025-07-15 Size : 6.72mb User : 王飞
[AI-NN-PR] ML DL : 0: MIT机器学习教材中文版机械工业出版社-Machine Learning
Date : 2025-07-15 Size : 9.65mb User : 孙韵卓
[matlab] gpml-matlab-v3.6-2015-07-07 DL : 0: 这是一个高斯过程回归和分类工具箱，功能非常齐全，可以为解决高斯过程相关的问题提供很多帮助- GAUSSIAN PROCESS REGRESSION AND CLASSIFICATION Toolbox version 3.6 for GNU Octave 3.2.x and Matlab 7.x Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2015-07-07. 0) HOW TO READ ============== If you want to get started without further delay, then read section 1) below and jump right to the examples in doc/index.html. 1) ABOUT THESE PROGRAMS ======================= This collection of matlab programs implements and demonstrates some of the algorithms described in a) the book by Rasmussen and Williams: Gaussian Processes for Machine Learning , the MIT Press 2006, in b) the article by Nickisch and Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR 2008, in c) the article by Candela and Rasmussen: A Unifying View of Sparse Approximate Gaussian Process Regression , JMLR 2005, in d) the paper by Murray, Adams and Mackay: Elliptical slice sampling , AISTATS 2010, in e) the report by Neal: Anneale
Date : 2025-07-15 Size : 976kb User : 李
[Other] nensai_v67 DL : 0: 脉冲响应的相关分析算法并检验，MIT人工智能实验室的目标识别的源码,是机器学习的例程。- Related impulse response analysis algorithm and inspection, MIT Artificial Intelligence Laboratory identification of the target source, Machine learning routines.
Date : 2025-07-15 Size : 9kb User : nuimenglengmai